Integrating BP Monitoring With Precision

Teresa Castiello
Teresa-Castiello

Laura Cowen interviewed Teresa Castiello, MD, a cardiologist and healthcare prevention advocate, to discuss her insights on hypertension management in the era of precision medicine. Castiello shared her perspectives on the need for a proactive approach to hypertension care, the role of precision medicine and pharmacogenomics, and the potential impact of digital health Hilo in transforming how hypertension is diagnosed, monitored, and treated.

Q: Do you think there needs to be a shift in how hypertension is diagnosed and treated?

Teresa Castiello, MD: Without a doubt. We must move from reactive medicine—treating damage once it has occurred—to proactive medicine. Hypertension is frequently underdiagnosed because it often remains asymptomatic until organ damage is already underway. Furthermore, traditional office readings are often biased by the “white coat” effect, which is why clinical guidelines, including those from the ESC (European Society of Cardiology), are moving away from them. Current monitoring also has limitations; nocturnal readings from standard cuffs often wake the patient, and sporadic readings fail to reflect the true, dynamic daily blood pressure response.

Q: Are there any “uncomfortable truths” about hypertension care that we don’t talk about enough?

Castiello: A significant “uncomfortable truth” is the lingering bias that considers a rising blood pressure to be a normal part of aging. It isn’t. Data from the Yanomami population in the Amazon shows that systolic blood pressure can remain constant at approximately 100 mmHg throughout life. In our Westernized society, blood pressure increases as a response to environmental and stressful “insults” rather than as a physiological necessity. Unfortunately, current clinical practice in the U.K. has not yet fully implemented recent ESC changes. We still see values defined as “normal” when guidelines now identify them as elevated (anything above 120/70 mmHg). Cardiovascular risk actually begins to climb much sooner than most realize, often at systolic levels as low as 110–115 mmHg.

Q: Is there a risk of current treatment strategies controlling blood pressure numbers without addressing underlying mechanisms?

Castiello: Yes. Labeling most cases as “essential hypertension” is essentially admitting we are treating a multifactorial condition of unknown cause. We often fail to assess the individual holistically. Stress, hormonal shifts, poor work-life balance, diet, and physical inactivity are profound drivers of blood pressure increases. While medical therapy is a vital tool, we must not forget that humans are multifaceted and complex. We need a healthcare approach that treats the person, not just the metric.

Q: Is there a need for increased precision medicine in hypertension, e.g., with the use of pharmacogenomics? Could this information redefine high-risk?

Castiello: We are in an era where precision medicine is the only way to deliver effective care. The power of data is enabling us to target prevention and early diagnosis like never before. Pharmacogenomics is a key part of this; by understanding how a patient’s genetic profile influences their metabolism of a drug, we can move away from “trial and error.” This information redefines “high-risk” from a generic population score to an individual biological reality. It allows us to define optimal doses that maximize efficacy while minimizing the toxicity that often leads to treatment non-compliance.

Q: Are healthcare systems ready to integrate continuous blood pressure monitoring into routine care?

Castiello: Probably not yet, but they will be forced to be. COVID-19 showed that we can adapt to global interconnection and remote monitoring in a very short time when we have no choice. Prevention is the only way for healthcare systems to survive the rising burden of chronic disease. Philosophically, if we wait until we feel “ready” to take action, we will never act. The time to implement these preventive strategies is now.

Q: In ten years’ time, how do you hope hypertension will be managed differently?

Castiello: I hope every individual has access to a medical-grade wearable—whether a band, ring, or chip—empowered by AI to feed data into a proactive health system. This data will be filtered to flag those requiring care at a pre-pathological stage. We can no longer afford to wait for a crisis to occur before we treat it; global healthcare systems cannot handle that burden. We must prevent what is possible and focus our hospital resources on the conditions that occur despite our best preventive strategies

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From Reactive to Proactive: Reimagining Hypertension Management in the Precision Medicine Era

According to the World Health Organization, an estimated 1.4 billion adults aged 30–79 worldwide had hypertension in 2024, representing around one-third of the global population of that age. Of these, 44% were unaware that they were living with a leading risk factor for premature death and poor health worldwide due to its association with myocardial infarction, stroke, and kidney disease.

Despite the size of the hypertension problem, its diagnosis and treatment pathway has remained largely the same for decades.

A 60-year-old pathway

“The current pathway in hypertension diagnosis and treatment has really not changed in over 60 years,” said Sandosh Padmanabhan, MD, PhD, chair of pharmacogenomics and professor of cardiovascular genomics and therapeutics at the University of Glasgow in Scotland.

He explained that it is based on opportunistic detection of hypertension, which has traditionally been defined as a blood pressure (BP) of 140/90 mmHg in the clinic, although thresholds vary by measurement method and guideline. For example, out-of-office measures typically use lower cut-points (e.g., home/daytime ambulatory averages) of 135/85 mmHg.

Sandosh Padmanabhan
Sandosh Padmanabhan, MD, PhD
Professor
University of Glasgow

Diagnosis typically occurs when a patient visits their primary care physician (PCP) or has a pharmacy BP check. Confirmation follows, ideally with out-of-office BP monitoring to avoid misclassification caused by one-off measurements.

Patients are then stratified by predicted 10-year cardiovascular risk, using risk calculators such as Q-risk or the PREVENT score, and treatment is based on a stepwise algorithm. First, patients are generally given lifestyle advice like reducing salt, alcohol, and caffeine intake, improving sleep, managing stress, and increasing exercise. This may give them a chance to reduce their BP without pharmacologic intervention.

If unsuccessful, depending on local guidelines, patients may be offered an angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker if under 55 years of age. Those over 55 years or of Black African or Caribbean origin are started on a calcium channel blocker. The next steps combine ACE inhibitors and calcium channel blockers, then add a thiazide-like diuretic, followed by spironolactone or other drugs.

However, this approach uses “a population-level logic,” said Padmanabhan. Although age and ethnicity are considered, “these are broad demographic proxies that don’t include any understanding of the individuals’ underlying pathophysiology or the genetic makeup.”

He stresses that, on a public health basis, the system works. There are multiple effective, low-cost antihypertensive drug classes and many generic options available that effectively lower BP. Despite this, control rates are poor. “Fewer than one in four hypertensive adults globally have their BP adequately controlled,” he said.

The measurement problem

Part of the issue lies in how BP is measured. “To give you an idea about the scale of inertia, we diagnose BP using a device that was introduced in the late 19th century,” Padmanabhan noted, referring to the sphygmomanometer invented by Scipione Riva-Rocci in 1896. Not only that, the technique can also be flawed. Variables such as incorrect cuff size, improper positioning, and patient movement can distort readings. Even talking during measurement can increase BP values by 5–9 mmHg or even higher.

Crucially, a single measurement provides little insight into cumulative lifetime exposure to high BP and can be skewed by issues like white coat hypertension or masked hypertension. “We look at the BP number, but the patients don’t experience that number. What they experience is a lifelong vascular risk,” Padmanabhan explained. “Treatment is not about a short-term reduction in a number. It’s about long-term sustained risk reduction.”

Yet the current system remains reactive and is not working well enough. “We have to move away from reactive diagnosis to proactive identification,” Padmanabhan said. “The earlier we measure accurately and respond systematically, the fewer surprises we’ll see later.”

Continuous monitoring

The pitfalls of opportunistic, or even planned, BP measurement are driving the emergence of new technologies capable of continuous monitoring.

Josep Solà
Josep Solà, PhD
CTO and Co-founder
Aktiia

Josep Solà, PhD, began working on optical sensing technology in 2004 at the Centre for Electronics and Microtechnology in Switzerland. By analyzing subtle changes in reflected light caused by arterial dilation, it became clear that BP could be measured using these light signals. In 2018, this research was spun out into Aktiia, where Solà is CTO and co-founder. The company has developed and commercialized the Hilo™ band: a CE-certified wearable medical device designed for continuous, cuffless, BP monitoring that has been clinically validated against traditional ambulatory BP monitoring.

The band tracks BP and heart rate automatically, about 25 times per day, without requiring any action from users. Paired with an app, the device shows users daily, nightly, and long-term BP trends. It is currently available as a certified medical device across Europe, Australia, and Canada, and, following FDA approval in July 2025, the company is preparing for a U.S. launch.

Solà said he and co-founder Mattia Bertschi, PhD, were convinced they could change how hypertension is being managed today. He believes there is no good reason why most people with hypertension cannot control the condition. The medication is cheap and effective; the problem is that there has been no technology that patients can use to properly manage their condition.

“No one wants to use a cuff every day for the next 30 years,” said Solà. “They’re just so inconvenient, and you cannot expect people to proactively measure something they don’t feel.”

The Hilo band gives wearers a feedback loop that has historically been missing from BP measurement. Users can immediately see that reducing their salt or alcohol intake, for example, lowers their BP. “We are empowering people,” said Solà. “We are empowering them to look at the intervention, or combination of interventions, with or without medication, to see what is effective for them, and this reinforces their willingness to continue with the changes they are making.”

Hilo product
Credit: Hilo

Data published by Aktiia has shown that this approach works. A study of 8,950 U.K.-based Hilo users indicated that individuals who monitored their BP continuously showed better control over time. Specifically, users over 50 years of age appeared able to prevent the age-related rise in systolic BP typically seen in the general population, which the researchers say “may reflect greater awareness, stronger treatment adherence, and lifestyle changes prompted by continuous feedback.”

Wearables at scale: Opportunity and caution

Beyond dedicated monitoring devices like the Hilo band, smartwatches and other devices are increasingly capable of detecting physiological signals associated with cardiovascular risk. The Apple Watch can detect potential signs of chronic hypertension by analyzing heart rate sensor data over 30-day periods, the Huawei Watch D provides on-demand and 24-hour ambulatory BP monitoring using an air-filled strap, while the team behind the Oura ring is developing a “Blood Pressure Profile” feature to detect early signs of hypertension.

Although this represents a significant step toward embedding cardiovascular monitoring into everyday life, the increasing use of these devices raises important questions about accuracy, interpretation, and clinical integration, particularly as they often rely on indirect signals rather than direct BP measurement.

Adam Bress
Adam Bress, PharmD
Researcher
University of Utah

As Adam Bress, PharmD, from the Spencer Fox Eccles School of Medicine at the University of Utah, and colleagues have recently shown, translating wearable-derived signals into meaningful clinical information is not straightforward.

They evaluated the hypertension alert feature of the Apple Watch, which has a published sensitivity of 41% and specificity of 92%, meaning that approximately 59% of individuals with undiagnosed hypertension would not receive an alert, while about eight percent of those without hypertension would receive a false alert.

“The problem there, is that this data only tells you how the alert works in a very controlled, limited population,” said Bress. “In order to understand how it’s going to work in the real world, we need to know how the true prevalence of undiagnosed hypertension varies in the population and in subgroups and to what degree.”

Using data from nearly 4,000 adults in the U.S., Bress and colleagues showed that the pretest probability of having hypertension has a significant impact on the reliability of the alert. For example, among adults under 30 years of age, the pretest probability of having hypertension is 14%. A positive alert on the Apple Watch would increase this probability to 47%, whereas no alert reduces the probability to 10%.

However, for adults aged 60 years and older, an alert increases the probability of an individual having hypertension from a pretest level of 45% to 81%, whereas the absence of an alert only lowers it to 34%. This translates to large numbers of false negatives when applied across millions of users.

In Apple’s validation study, the company stresses that the watch is not intended to replace traditional diagnosis methods or to be used as a method of BP surveillance, and that the absence of a notification does not indicate the absence of hypertension.

“The concern is, if you’re not getting an alert, will people interpret that as them not having hypertension,” said Bress. “That’s the worry. … The groups in which the negative alert is the least trustworthy contain the people with the highest risk. We’re most worried about people being falsely reassured.”

At the same time, he is clear that wearables should not be dismissed. “This technology is an important step forward; we need more wearable tech that can screen,” he said.

Unfortunately, access to these devices is not universal. Advanced monitoring technologies are often first adopted by the “worried well”—people who are more affluent and health-conscious—rather than those at highest risk.

“The only thing that can change this is a clear political decision to make awareness of hypertension large scale,” said Solà. Devices like the Hilo band could be used much like the continuous glucose monitors for diabetes. The difference is that if someone with diabetes doesn’t keep their blood glucose levels under control through regular monitoring, they can become ill very quickly. With hypertension, the effects of poor control don’t become apparent for decades.

“We need the policymakers to understand that investing in this technology today will have a return on investment in 10 years from now, not in one year from now,” Solà remarked.

Targeted drug selection

Even when hypertension is detected early and monitored closely, treatment remains largely empirical and can lead to therapeutic inertia, one of the biggest current challenges in hypertension care. “BP is not like diabetes, it doesn’t cause symptoms, and because of that, we don’t escalate treatment often enough,” said Padmanabhan.

At the same time, treatment selection remains largely trial-and-error. Clinicians cycle through medications sequentially, adjusting regimens based on response rather than underlying biology. The issue is that failed attempts risk side effects and can erode trust. That lack of trust can then impact adherence and, therefore, cardiovascular risk.

Instead, Padmanabhan believes that we need to move toward mechanistically informed drug selection.

This approach is common in oncology, where targeted therapies have been matched to specific mutations, but the picture is more complex for BP. Genome-wide association studies (GWAS) have identified more than 30 genes associated with monogenic forms of hypertension or hypotension and more than 2,100 single nucleotide polymorphisms linked to BP regulation, underscoring its highly polygenic nature.

This, combined with the strong influence of environmental factors, means that there is no single pathway or biomarker that can be easily targeted to reduce BP.

Padmanabhan’s work on the uromodulin gene (UMOD), however, shows that GWAS data can translate into therapy. His team identified a signal on chromosome 16 linked to uromodulin, a protein that is only expressed in one part of the kidney and plays a role in salt regulation. In a clinical trial  comparing people with low BP to those with high BP, they found that people with the UMOD allele that increases protein expression experienced a sustained reduction in BP when treated with the loop diuretic torasemide, whereas the effect was only temporary and followed by rebound in those carrying the UMOD allele that lowers protein expression.

Approximately two-thirds of the population carry the UMOD allele that increases protein expression, meaning that loop diuretics like furosemide or torasemide, which are more commonly used to treat heart failure, could potentially be used in hypertension personalized by the patient’s genotype.

So far, “this is the only clinical trial from a GWAS-identified genetic variant in hypertension,” Padmanabhan noted, highlighting both the promise and challenge of pharmacogenomics in hypertension.

Although clinical translation from GWAS of hypertension has been limited, research has shown that genetic variation in drug-metabolizing enzymes can significantly impact hypertension treatment efficacy and toxicity. For example, variants of CYP2D6 affect metoprolol metabolism whereas those in CYP2C9 influence responses to losartan. Research is needed to determine whether testing for these variants or others could reduce trial-and-error prescription, minimize side effects, and thus increase patient confidence and long-term engagement.

Teresa Castielo
Teresa Castielo, MD
Director
MIAL Healthcare

On a more fundamental level, biological sex differences remain a significant consideration in cardiovascular medicine. “Biological factors are an integral part of the clinical picture,” noted Teresa Castiello, MD, consultant cardiologist and director of MIAL Healthcare in London. She points out that clinical trials have historically seen a predominance of male participants; as a result, many standard medication dosages are based on data primarily derived from men.

This can lead to challenges with tolerability and a higher incidence of side effects in women as the therapeutic dose required for efficacy often tends to be lower in female patients.

Castiello suggests that this area of management warrants further refinement in clinical practice. She also emphasizes that key aspects of female cardiovascular risk, including reproductive history, menopause, and conditions like polycystic ovary syndrome, are nuances that may not always receive the necessary focus in routine care.

Toward a precise, preventative system

Ultimately, transforming hypertension care will require more than new technologies or therapies. It will require a fundamental change in how care is delivered.

Padmanabhan argues that hypertension should be managed through a “precision prevention service,” that integrates early detection, continuous monitoring, and personalized treatment, and involves more than just PCPs.

This approach recognizes that the disease is not just a clinical condition but a societal one, influenced by factors such as diet, socioeconomic status, work patterns, and access to care. Equity remains another critical issue. “We treat the ideal average patient under ideal circumstances but that’s not reality,” said Padmanabhan.

There also needs to be a cultural shift, said Castiello. “It’s not just the doctor’s responsibility; we also need to take responsibility for our own health.”

Solà shares a similar vision for the future: he would like to see BP measurement to become as routine as brushing your teeth, supported by technologies that empower individuals and reduce the burden on healthcare systems.

If realized, this shift could transform hypertension from a silent, progressive disease into a manageable, preventable condition, saving millions of lives in the process.

 

Laura Cowen is a freelance medical journalist who has been covering healthcare news for over 10 years. Her main specialties are oncology and diabetes, but she has written about subjects ranging from cardiology to ophthalmology and is particularly interested in infectious diseases and public health.

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Biobanks Set the Stage for Scaling Precision Medicine

Dating back more than a century, biobanks have outgrown their beginnings as small, local collections to become large, global facilities that store and handle millions of samples and serve thousands of researchers at any given time. Over the years, biobanks have transformed from passive repositories into active research infrastructures that are increasingly bridging the gap between medical research and clinical applications.

“Today’s biobanks have evolved far beyond sample storage,” said Yan Zhang, PhD, president of proteomic sciences at Thermo Fisher Scientific. “They are automated, digitally connected systems integrated with hospitals and health networks to ensure appropriate consent, longitudinal clinical context, and the ability to re-engage participants over time.”

Yan Zhang
Yan Zhang, PhD
President
Thermo Fisher Scientific

As safeguards of clinical samples, biobanks fulfill a central role in the advancement of precision medicine. Access to the right samples can make or break a research project, with most researchers reporting that they have had to limit their scope of work because of difficulties obtaining the samples they need.

“Robust, population-scale biobanking enables precision medicine to move from isolated findings toward broader clinical relevance,” said Zhang. “Modern biobanks combine genomics, proteomics, and other high-dimensional omics platforms with robust data architecture, high-performance computing, and artificial intelligence (AI)-driven modeling. Dedicated data science teams integrate molecular data, longitudinal health records, and curated public datasets to generate biologically meaningful interpretations.”

Biobanks now provide the infrastructure needed to support population-scale, longitudinal studies that allow scientists to uncover molecular drivers of disease and understand their evolution over time to ultimately identify biomarkers, develop targeted treatments, and inform clinical decisions.

“We’re seeing researchers design studies with scale in mind,” Zhang noted. “They’re combining proteomics, genomics, and clinical data to generate insights that are both statistically powerful and relevant to real-world populations. There’s also a clear shift from searching for a single biomarker to building a more complete, systems-level understanding of disease.”

To navigate today’s rapidly shifting landscape and meet their core purpose of supporting cutting-edge clinical research, biobanks have to keep up with fast-moving targets. Going forward, moving from initial discovery to translation will remain the number one challenge in precision medicine. “Generating discovery insight is no longer the limiting factor,” said Zhang. “Validating, standardizing, and implementing those insights at scale is.”

A matter of scale

Martin K. Rutter
Martin K. Rutter, MD
Deputy Chief Scientist
UK Biobank

One of the most transformative shifts in biobanking over the past decade has been an exponential increase in the scale of data collection and sample storage. At the forefront of this expansion is the UK Biobank, which currently stores around 18 million samples from 500,000 participants, together with imaging and biomarker data, healthcare records, questionnaires, physical measurements, demographics, lifestyle, and environmental data collected over the course of 20 years. This depth of phenotyping is what makes the data so valuable to researchers worldwide, said Martin K. Rutter, MD, professor of cardiometabolic medicine at the University of Manchester and deputy chief scientist at the UK Biobank. “When you link all that together, you can get amazing insights into the biology of disease.”

To keep up with increasing storage needs and researcher requests, the UK Biobank is now getting ready to move more than 10 million samples currently stored in its main laboratory to a new building in central Manchester by the end of the year. The new storage facility is designed to quadruple sample retrieval speed while making the whole infrastructure more energy-efficient and environmentally friendly.

The scale at which facilities like the UK Biobank operate today would have been unthinkable when it was established two decades ago. Such massive growth has been driven by rapid technological advances across genomics, transcriptomics, and proteomics, with costs continuing to fall while coverage, speed, and accuracy keep surging.

Partnerships with the pharmaceutical industry have also been instrumental in nurturing this exponential growth. This can be seen in initiatives like the UK Biobank Pharma Proteomics Project (UKB-PPP), a collaboration between the UK Biobank and 14 biopharmaceutical companies with the goal of analyzing proteomics data from 600,000 samples.

In the long run, scale provides the backbone to enable increasingly ambitious, statistically powerful studies. However, as they grow, biobanks face the challenge of navigating a constantly shifting landscape while making sure the samples and data they collect, store, and maintain are valuable to the entire research community they serve.

“Our job is to make the data available to researchers,” said Rutter. “We are involved now more than ever in connecting with research teams and trying to understand what their needs are.”

Through surveys and consultations, the UK Biobank actively gathers information to design prospective data collection programs that anticipate researcher needs. Next year, the biobank is planning a repeat assessment of its whole cohort, focusing on measurements of aging. The goal is to support researchers looking into causal pathways and mechanisms driving age-related diseases, empowering the development of preventive interventions and new diagnostics and treatments for age-related conditions.

Keeping pace with the evolving demands of researchers, industry, and the broader public is essential for biobanks to secure the funding necessary not only to operate but also to expand such vast enterprises, which remains a major challenge across this resource-intensive field.

Diversity takes the spotlight

Historically, samples collected by biobanks are biased in favor of participants who are white, middle-class, and have a higher education. This creates major disparities in the applicability of clinical research. In fact, studies have shown that patients from non-European ancestry backgrounds have not benefited equally from precision drugs approved by the U.S. Food and Drug Administration (FDA) to treat a range of cancer indications.

Even within biobanks dedicated to sampling the population of a specific region, ethnic minorities, low-income, or elderly people are often underrepresented, skewing results against the real-world populations they strive to serve. As the research community increasingly recognizes the importance of more diverse and representative patient cohorts, demand is rising for resources that address these barriers.

Representation is at the heart of All of Us, a program launched by the National Institutes of Health in 2018 to address the gap present at the time in many biobanks and sample repositories. This precision medicine initiative was designed to enroll participants who reflect the full range of populations found within the U.S., including individuals of varied ancestry backgrounds as well as those living in rural commmunities, which are rarely represented in biorepositories due in part to longstanding barriers to research participation, such as the logistical challenges of collecting samples and data from participants in remote locations.

Joshua Denny
Joshua C. Denny, MD
CEO
All of Us

“A lack of diversity impoverishes discovery and applicability of findings for all,” said Joshua C. Denny, MD, CEO of the All of Us Research Program.

For instance, data collected by All of Us has been used to investigate APOL1 gene variants linked to kidney disease, which are more common among people of West African ancestry. This research led to the identification of a novel APOL1 variant that can reduce the risk of kidney disease in individuals carrying high-risk variants.

The program has so far enrolled about 870,000 participants across all U.S. states, with about 80% of them representing communities that have historically been underrepresented in biomedical research. This has been achieved by emphasizing accessibility and flexible participation models; participants can enroll digitally and choose whether to share access to their electronic health records, donate biospecimens, and complete demographics and lifestyle surveys. They may also opt to provide saliva samples, simplifying logistics in rural areas with limited access to blood collection facilities.

“What works in a rural location is different from what works in a big city like New York,” said Denny. Whether it comes to location, age, or language, he emphasized the importance of adapting how the program approaches and engages each population.

Democratizing access to patient data across the research ecosystem is another major biobanking challenge that All of Us is committed to addressing. The program has established a streamlined access model that enables researchers to access the data they need in less than two hours if they belong to one of the 1,300 already approved institutions across the world. Together with central data storage and cloud-based analysis tools, their setup is designed to make the data accessible to researchers lacking the resources and local infrastructure for high-performance computing.

Towards global integration

With precision medicine studies steadily escalating both in size and complexity, researchers increasingly seek to bring together data stored across diverse biobanks to power larger, more ambitious studies with broader scientific and societal impact. However, building the infrastructure needed to enable cross-biobank studies is still a challenge, starting with convening stakeholders to harmonize data collection standards and establish international guidelines.

Anticipating this need, in 2013 the European Union established the Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium (BBMRI-ERIC), which currently coordinates the activity of about 500 biobanks across 32 countries.

Jens K. Habermann
Jens K. Habermann, MD, PhD
Director General
BBMRI-ERIC

“Precision medicine can only move forward with a strong starting point for research,” said Jens K. Habermann, MD, PhD, professor for translational surgical oncology and biobanking at the University of Lübeck and director general of the BBMRI-ERIC. “It can be very difficult for scientists to get all the information they need in one place, and this is what biobanks can enable.”

Pulling together data from all its members, the BBMRI-ERIC has set up a central catalogue for biobanks, biomolecular resources, and other data and sample collections, which users can employ to identify relevant resources and build virtual cohorts tailored to their research needs. The consortium also works with international committees to set guidelines and support members working towards compliance with international standards.

Despite ongoing progress, there are still obstacles ahead when it comes to harmonizing biobanking practices worldwide, including data collection, annotation, storage, and sharing. Tackling differences in data protection, consent, ethical standards, and regulatory requirements across borders will be another necessary step towards broader standardization. Finally, biobanks will need to invest in cybersecurity to ensure patient data can be shared between institutions safely.

Funding will be key to successfully addressing all these challenges. On this front, biobanks face the difficult task of maintaining their existing infrastructure, staying up to date and relevant to the research community, and investing in cross-biobank initiatives. All this must be balanced with growing financial pressure on research centers, hospitals, and the governments supporting them.

As part of its 10-year roadmap, the BBMRI-ERIC is setting the goal of forming international networks that bring together more diverse biobank types, such as environmental, wildlife, veterinary, and plant biodiversity repositories. The overarching aim is to move towards a One Health approach to biobanking, where samples and data that expand beyond monitoring human populations are brought together to tackle overlapping challenges that simultaneously affect human, animal, and environmental health.

Data-driven horizons

As the field forges ahead, biobanks are undergoing broad transformations in the way they operate. On the technology side, these changes are being propelled by the rise of multi-omics techniques in precision medicine research, as well as by rising demand from the research community for non-invasive patient monitoring data and longitudinal sample collection. All of these will be critical for the development of the next generation of personalized therapies and diagnostics.

“Over the next decade, biobanks are expected to become increasingly integrated into clinical and translational workflows,” said Zhang. “Proteomics, in particular, will play a growing role in helping us understand the dynamic biology of disease, enabling earlier detection, better prediction of recurrence, and more precise therapeutic strategies.”

A key driver of this shift will be AI. No longer just a supporting tool, AI is now becoming an integral part of biobank operations, contributing to real-time sample monitoring, predictive maintenance, risk management, and decision making.

On the data analysis side, Zhang has seen how AI is redirecting the focus from data generation to data interpretation. She said, “Biobanking has already enabled the collection of high-quality biospecimens linked to large-scale molecular and clinical datasets. The challenge now is extracting meaningful biological insight from that complexity.”

Although still in its early days, AI is becoming central to how researchers make use of biobank data, noted Rutter. Drawing from the UK Biobank data, recent studies have developed AI models that can predict a patient’s risk of stroke based on retinal images, calculate the risk of future disease by looking at an individual’s disease history, or spot neurodegenerative diseases like Alzheimer’s and Parkinson’s early using brain scans and physical activity data.

Going forward, Rutter expects to see biobanks moving away from static cohorts and in favor of continuous data collection, enabling more powerful predictions. For example, the UK Biobank is developing a mobile app that can track a participant’s physical activity and monitor their location and sleep patterns, offering an in-depth look at how a variety of factors affect their health with much more accuracy than self-reported surveys.

Over time, all these advances will steer clinical practice from treatment to prevention, allowing healthcare professionals to act early in the patient journey, when interventions are most effective, and eventually, even before disease develops. Ultimately, addressing complex diseases will require coordinated contributions from all stakeholders, including AI innovators, drug developers, clinicians, technology providers, and policymakers.

“The next decade will be incredibly exciting,” said Denny. “It will be all about leveraging the huge scale of resources that are just emerging today.”

 

Clara Rodríguez Fernández is a science journalist specializing in biotechnology, medicine, deeptech, and startup innovation. She previously worked as a reporter at Sifted and editor at Labiotech, and she holds an MRes degree in bioengineering from Imperial College London.

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Top 5 Firms Engineering Healthcare in the CNS Space

Central nervous system (CNS) treatments are having a major comeback. These five precision medicine players plan to ride the resurgence.

After a decade of stagnation, the CNS space is seeing a revival in sales and R&D spending as the market was last year projected to surpass $80 billion for the first time since 2013 and hit around $127 billion.

Recent landmark approvals have brought attention back to the CNS, including the U.S. Food and Drug Administration (FDA)’s greenlight of Eisai/Biogen’s lecanemab (Leqembi) for the treatment of Alzheimer’s disease in 2023, and the FDA approval of Bristol-Myers Squibb’s schizophrenia treatment xanomeline/trospium chloride (Cobenfy) in 2024.

At the same time, Johnson & Johnson’s depression treatment, esketamine (Spravato), is on its way to blockbuster status, showcasing the growth potential of the CNS market.

These successes accompany an emerging shift in psychiatry clinical trials from subjective rating scales to more objective endpoints, including digital and physiological measures, with the potential to better tailor treatments to a patient’s biological makeup.

Startups and scaleups are attracting increasing investor attention for their potential to change the way we treat CNS conditions. Check out our list of the most exciting companies that have netted the biggest investor dollars.

 

1. Aerska

Founded: 2025 | Headquarters: Dublin, Ireland

Aerska logo

Aerska’s name is derived from an Irish proverb stating that people survive in each other’s shelter, emphasising the strength of its team.

This team includes co-founder Jack O’Meara, previously co-founder of the liver-focused RNA interference (RNAi) biotech Ochre Bio, who is driven by the experience of loved ones suffering from Alzheimer’s disease.

Aerska is developing RNAi therapies for neurodegenerative conditions, including Parkinson’s and Alzheimer’s disease.

While there are already FDA-approved RNAi therapies on the market, such as Alnylam’s patisiran (Onpattro), these are typically focused on liver and cardiometabolic conditions rather than the CNS.

Aerska’s technology consists of antibody “brain shuttles” that bind to proteins on the blood-brain barrier (BBB). They then carry a payload RNA into the brain.

The payload, which is designed based on data-driven patient stratification and disease biomarkers, then silences specific genes driving the disease.

Aerska has already raised $60 million since its launch, including a $21 million seed round in October 2025 and a $39 million Series A round in February 2026, co-led by EQT Life Sciences and age1.

The company, which has research operations in the U.K., is using the latest funding to drive its pipeline programs toward clinical testing.

 

2. Beacon Biosignals

Founded: 2019 | Headquarters: Boston, Massachusetts, U.S.

Beacon Biosignals logo

Beacon Biosignals was co-founded by a team including its CEO—MIT neuroscientist Jacob Donoghue, MD, PhD—and its CTO, the machine learning researcher Jarrett Revels.

Boasting more than 100 employees, the company’s goal is to provide objective biomarkers in drug development that neurology and psychiatry have traditionally lacked compared with other areas of precision medicine.

Its FDA-cleared Waveband device measures the brain’s activity, known as electroencephalography (EEG), while patients sleep at home. The EEG data is then stored, quality-controlled, and fed into AI models that can guide the design of clinical trials.

For example, Beacon’s EEG data can identify patients with Alzheimer’s disease who have worse outcomes and might need a more targeted treatment or a different clinical trial than other patients.

Beacon raised $27 million in a Series A round in 2021 and an oversubscribed Series B round worth $86 million in November 2025.

The B round, which included investors such as Innoviva, Google Ventures, and Nexus NeuroTech, will help the startup to accelerate the discovery of neurobiomarkers and broaden clinical adoption of the technology.

Beacon acquired the French sleep monitoring company Dreem in 2023 to access its monitoring data and headband technology. Beacon then acquired the Ohio-based CleveMed in April 2025 to harness technology measuring breathing, oxygen, and other signals.

 

3. Brainomix

Founded: 2010 | Headquarters: Oxford, U.K.

Brainomix logo

Brainomix was founded by a team including CEO Michalis Papadakis, PhD, who was scientific director of the preclinical stroke lab at the University of Oxford.

Brainomix is dedicated to speeding up patient care in cases of stroke, where speedy treatment is key.

Brainomix’s flagship product, Brainomix 360 Stroke, is designed to harness AI to interpret brain scans and detect blood clots in patients with stroke, speeding up clinical decision-making.

The product involves a group of tools that automatically analyze images, including results from computed tomography (CT), CT angiography, magnetic resonance imaging (MRI), and CT perfusion.

Brainomix’s technology doubled the rate of thrombectomy treatment in patients with stroke and reduced hospital triage and transfer delays, according to a 2025 study.

The University of Oxford spinout is at a commercial stage, with operations in more than 20 countries, and is expanding into the U.S.

Brainomix raised a $21.2 million Series B round in 2021 and extended its Series C round from $6.5 million in March 2025 to $25.4 million in February 2026, with leading investors including Parkwalk Advisors and Hostplus. The proceeds will fuel the company’s expansion into the U.S. market.

Brainomix has also partnered with heavyweights, including Nvidia, Boehringer Ingelheim, Medtronic, and GE Healthcare.

Brainomix also has a product dedicated to disease monitoring in pulmonary fibrosis.

 

4. Circular Genomics

Founded: 2021 | Headquarters: San Diego, California, U.S.

Circular Genomics Logo

Circular Genomics was spun out of the University of New Mexico, with its founders including CSO Nikolaos Mellios, PhD, and Alexander Hafez, PhD.

The company later moved its headquarters from Albuquerque to San Diego in March 2025 to access scientific and operational know-how from Eli Lilly at Lilly Gateway Labs.

Circular Genomics aims to equip medical professionals with a blood test to detect CNS conditions early, in addition to stratifying and guiding the treatment of patients.

Its technology involves using a polymerase chain reaction (PCR) test of a patient’s blood sample to screen for specific circular RNA molecules produced in the brain that can cross into the blood and be measured as a biomarker of disease in the CNS.

Commercially launched in 2024, Circular Genomics’ MindLight SSRI Antidepressant Response Test predicts whether a patient will benefit from common antidepressants called SSRIs with around 77% accuracy. This is designed to predict a patient’s most suitable antidepressants without needing months of trial-and-error approaches.

The company is applying its technology in Alzheimer’s disease, where the approvals of disease-modifying therapies such as Leqembi have led to demand for tests that can detect the disease at earlier stages than traditional tests.

Circular Genomics raised $15 million in a Mountain Group Partners-led Series A round in December 2025 to finance the development of its technology and expansion of its technology in Alzheimer’s disease.

The company also has its sights on other CNS conditions, including multiple sclerosis and Parkinson’s disease.

 

5. Omniscient Neurotechnology

Founded: 2019 | Headquarters: Sydney, Australia

o8t logo

Omniscient (o8t)’s founders include CMO Michael Sughrue, MD, a neurosurgeon aiming to improve anatomy maps for other surgeons, and machine learning expert Stephane Doyen, PhD.

o8t’s FDA-approved product Quicktome involves using a patient’s MRI brain scans and AI models to map out a patient’s brain circuitry. These maps, accessible from an electronic tablet, can guide surgery to minimize the risk of brain damage compared to using a generalized anatomical diagram.

Quicktome is already in use at major hospitals around the world, including major centers in the U.S. Its partners include U.S. surgical support firm META Dynamic and the U.S. medical device innovation center, The Jacobs Institute.

o8t has raised more than $60 million, and bagged $14 million (AUD 20 million) in January 2026 as part of a Series D round targeted to reach $25 million (AUD 36 million). The round was led by Australia’s National Reconstruction Fund (NRFC) and OIF Ventures, with the aim of keeping the company based in Australia.

The funding is earmarked to fuel the development and commercialization of Quicktome, and grow o8t’s Australian workforce by more than 40. The company also has operations in Atlanta, Georgia, U.S.

o8t also plans to expand the technology into high-growth markets, including brain computer interface targeting, stroke and traumatic brain injury.

 

Jonathan Smith, PhD, is a freelance science journalist based in the U.K. and Spain. He previously worked in Berlin as a reporter and news editor at Labiotech, a website covering the biotech industry. Prior to this, he completed a PhD in behavioral neurobiology at the University of Leicester and freelanced for the U.K. organizations Research Media and Society of Experimental Biology. He has also written for medwireNews, Biopharma Reporter, and Outsourcing Pharma.

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