Development of Virtual Mental Health Stepped Care Service for a Heart Failure Remote Management Program: Qualitative Descriptive Study

Background: Depression is highly prevalent yet undertreated among people living with heart failure, indicating barriers to mental health services. Although various digital mental health interventions have been developed to detect, treat, and manage depression in this population, these interventions have seen limited integration into clinical care and a lack of implementation research. Stepped care is a service innovation that may promote the implementation of these technologies into clinical settings, but few studies have examined how these services are designed in clinical settings. Objective: This study aimed to identify strategies to address health system barriers to accessing mental health care from the perspective of people living with heart failure, clinicians, and researchers, and to incorporate these strategies into the design of a virtual mental health stepped care service within a heart failure remote management program. Methods: A qualitative description study was conducted using purposive recruitment of people living with heart failure, clinicians, and researchers from a heart failure remote patient management program. As part of a service design approach, semistructured interviews explored potential strategies to address barriers to accessing mental health services. Two researchers coded the data descriptively and constructed themes to guide the development of a virtual stepped care service. Results: A total of 22 participants were interviewed, comprising 13 people living with heart failure and 9 clinicians and researchers. Six themes were identified, comprising 4 requirements and 2 foundational principles. The requirements were to (1) adopt a collective approach to identify distress across methods, people, and time points; (2) maintain a referral-based approach; (3) rely on existing mental health human resources; and (4) offer patient choice among various mental health care options. These requirements were supported by two principles: (1) building on organizational strengths and (2) reducing treatment burden. Based on these findings, a virtual stepped care service was developed, incorporating a depression screening module, referral-based workflows, and, where clinically appropriate, patient choice in treatment selection. Conclusions: The stakeholder-informed design of this virtual stepped care service contributes to the limited literature on stepped care service design and demonstrates how such models can be tailored to their intended contexts. Although each component was designed to address health system barriers to mental health care for people living with heart failure, resource limitations may constrain the balance between feasibility and quality of care. Future research should evaluate the acceptability of this model among people living with heart failure and clinicians.
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Ultrasensitive Molecular Test Identifies Substantial TB Underdiagnosis in Boston

While developing an ultrasensitive test for the detection of Mycobacterium tuberculosis DNA (TB-DNA), researchers from Boston University have unexpectedly found a high prevalence of the molecular marker in U.S.-born patients hospitalized in Boston.

“We began this research with the intent of sourcing respiratory samples to support the ongoing development of a new molecular assay for TB,” said Guillermo Madico, MD, PhD, scientist at Boston University’s National Emerging Infectious Diseases Laboratories (NEIDL) and co-inventor of the TOP TB assay. “What we found was completely unexpected. Our ultrasensitive test is detecting Mycobacterium tuberculosis DNA in patients who are unlikely to be diagnosed with TB using current methods. This opens the possibility that there could be thousands of Americans infected with forms of tuberculosis disease that remain hidden from our current diagnostic tools—putting them at risk of developing more serious complications or potentially transmitting the disease to others.”

In 2022, there were over 8000 reported cases of TB in the United States, over 600 TB-related deaths, and an estimated 13 million people with Mycobacterium tuberculosis infection. Although incidence has steadily decreased in the U.S., the rate of decline is too slow to meet the ambitious World Health Organization strategy to end the global TB epidemic by 2035.

One threat to the global elimination goal is a gap in the detection of paucibacillary TB disease—a type of TB characterized by a low concentration of M. tuberculosis bacilli in samples that often results in false negative test results.

To improve detection, Madico and colleagues developed an ultrasensitive molecular assay developed at Boston University called the Totally Optimized PCR (TOP) TB assay, which targets a gene involved in M. tuberculosis cell wall assembly.

During the development process, the researchers conducted three separate clinical studies involving 297 patients from Boston hospitals.

Across the studies, the TOP TB assay detected TB DNA in 12–16% of samples—a rate far higher than expected given Boston’s low TB incidence rate. Of note, most TB DNA-positive patients tested negative on standard TB infection tests (tuberculin skin tests or interferon-gamma release assays), and the researchers hypothesize that the findings “indicate the existence of a paucibacillary form of TB that remains unrecognized and is not detectable using current diagnostic tools.”

During the study, there were three patients diagnosed with acute chest syndrome, a life-threatening complication of sickle cell disease, all of whom tested positive for TB DNA.

The researchers point out in Nature Communications that this “previously unrecognized association” has potential implications for clinical care in the U.S. and many other settings.

“These findings suggest we may be missing a significant burden of TB disease, particularly in older Americans and in patients with certain underlying conditions,” said Edward Jones-López, MD, who co-led the study while at Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine. “Most concerning is the potential association with acute chest syndrome in sickle cell patients. If confirmed and expanded upon in larger studies, this finding could lead to better health outcomes for patients with this potentially life-threatening condition.”

The researchers emphasize that their preliminary findings require confirmation in larger, prospective multicenter studies that include comprehensive clinical, radiological, immunological, and microbiological correlation. However, they argue the evidence warrants immediate dissemination given potential implications for medical care and public health.

The post Ultrasensitive Molecular Test Identifies Substantial TB Underdiagnosis in Boston appeared first on Inside Precision Medicine.

Coverage, Traits, and Geographic Distribution of Online Surgeon Reviews: Large-Scale Cross-Sectional Analysis

Background: The use of online physician rating platforms has significantly increased and has been shown to influence physician selection. There are limited data on the use of these platforms for rating surgeons. Objective: In this study, we sought to assess the geographic distribution of and patterns in rating scores of surgeons in the United States. Additionally, we examined rating volumes across different surgical specialties and the association between peer-nominated and patient-initiated ratings on online rating platforms in the United States. Methods: We conducted a cross-sectional study by identifying 201,154 surgeons in the United States via the National Plan and Provider Enumeration System records and Doctors and Clinicians downloadable file. We assessed surgeon coverage on 3 online rating platforms and their geographic use patterns. We described the rating scores and volumes across different surgical specialties and assessed the relationship between rating platforms by comparing peer-nominated and patient-initiated online ratings. Results: A total of 78.86% (158,630/201,154) of the surgeons had ratings on at least 1 of the 3 patient-initiated websites across 11 specialties. Plastic surgeons, neurosurgeons, and orthopedic surgeons had the highest mean number of patient-initiated ratings. Surgeons with “Top Doctor” recognition from peers (23,171/201,154, 11.52%) were associated with an increased median patient-initiated rating (Healthgrades: 4.36, IQR 3.88-4.71 vs 4.20, IQR 3.64-4.64, <.001, and =0.09; Vitals: 4.30, IQR 4.00-4.60 vs 4.20, IQR 3.80-4.50, <.001, and =0.09; RateMDs: 4.20, IQR 3.80-4.50 vs 3.80, IQR 3.60-4.60, <.001, and =0.16). Geographic analysis indicated that 91.06% (295,816,471/324,870,510) of the US population lives in a county with a surgeon rated 10 times or more. Conclusions: Both patient-initiated and peer-nominated rating platforms have a comprehensive coverage of surgeons in the United States, but this coverage differs significantly between surgical specialties. Further work should assess how publicly available online ratings drive surgeon selection and their association with patient experience and postoperative outcomes.

GLP-1 Drug Improves Liver Health Independent of Weight Loss, Mouse Study Finds

Studying mice, researchers at Toronto’s Sinai Health have found that semaglutide—the active ingredient in popular weight loss drugs that mimic the gut hormone GLP-1—acts directly on a subset of liver cells to improve organ function, and does so independently of weight loss. The finding challenges long-held assumptions about how GLP-1 medicines work in the liver and could reshape how physicians treat metabolic liver disease.

Headed by Daniel Drucker, MD, a senior investigator at the Lunenfeld-Tanenbaum Research Institute, the team reported on their findings in Cell Metabolism, in a paper titled “The weight-loss-independent hepatoprotective benefits of semaglutide are orchestrated by intrahepatic sinusoidal endothelial GLP-1 receptors.”

For years, the liver benefits of semaglutide have puzzled scientists. “Glucagon-like peptide-1 (GLP-1) medicines improve metabolic liver disease through weight-loss-dependent and -independent actions,” the authors wrote. The drug was known to lower blood sugar and promote weight loss, but patients’ livers were improving in ways that those effects alone could not explain. And as the authors further noted, “The therapeutic scope of GLP-1 medicines extends beyond glycemic control and weight loss, with benefits evident in people with atherosclerotic heart disease, heart failure with preserved ejection fraction (HFpEF), peripheral artery disease, diabetic kidney disease, knee osteoarthritis, and obstructive sleep apnea (OSA).” However, as the team further pointed out, “… the mechanisms by which GLP-1 medicines improve organ dysfunction remain incompletely understood.”

Drucker has been at the forefront of GLP-1 research since the 1980s when his pioneering discoveries helped lay the groundwork for the development of GLP-1 medicines. After transforming treatment of type 2 diabetes and obesity, semaglutide and other GLP-1 medicines have been approved for other conditions including MASH (metabolic dysfunction-associated steatohepatitis). MASH is a severe form of fatty liver disease in which fat build-up, inflammation, and tissue scarring can lead to cirrhosis and liver failure. It affects about 25% Canadian adults and because it is closely linked with obesity and type 2 diabetes, treatment typically includes lifestyle interventions to reduce weight. “The approval of semaglutide for MASH highlights the importance of understanding the hepatoprotective mechanisms of GLP-1 action,” the investigators stated.

Drucker and colleagues have now found that semaglutide acts directly on the liver to reduce inflammation and scarring and improve organ function in a way that is independent of weight loss. Their finding overturns a prevailing assumption in the field that liver cells do not carry the receptor that semaglutide binds to, meaning the drug had no direct route to the organ.

Postdoctoral researcher Maria Gonzalez-Rellan, PhD, spearheaded the work that combined sophisticated mouse models of MASH with deep molecular analyses of liver cells. Her work identified two cell types carrying semaglutide receptors: liver sinusoidal endothelial cells (LSECs) and immune T cells. Although LSECs account for only about 3% of liver cell volume, they proved to be the key driver of semaglutide’s liver benefits.

A pioneer in GLP-1 biology Dr. Daniel Drucker has dedicated his career to understanding how the GLP-1 hormone, and the therapies derived from it, function in the body. His early discovery that GLP-1 stimulates insulin secretion in a glucose-dependent manner paved the way for today's widely popular medications for type 2 diabetes and obesity. Dr. Drucker's ongoing research continues to shine light on the less understood aspects of GLP-1 biology including its effects on the liver and in regulating inflammation. [Colin Dewar, Sinai Health]
A pioneer in GLP-1 biology, Daniel Drucker, MD, has dedicated his career to understanding how the GLP-1 hormone, and the therapies derived from it, function in the body. His early discovery that GLP-1 stimulates insulin secretion in a glucose-dependent manner paved the way for today’s widely popular medications for type 2 diabetes and obesity. Drucker’s ongoing research continues to shine light on the less understood aspects of GLP-1 biology including its effects on the liver and in regulating inflammation. [Colin Dewar, Sinai Health]

LSECs line the tiniest blood vessels in the liver and are studded with pores that allow them to act as a molecular sieve, filtering substances passing between the liver and the bloodstream. Gonzalez-Rellan showed that semaglutide reversed MASH in mice that lacked the brain receptors controlling appetite, demonstrating that weight loss is not required for liver benefits. “Unexpectedly. semaglutide improves hepatic inflammation, fibrosis, and immune remodeling through actions on Glp1r+ pericentral liver sinusoidal ECs (LSECs) independent of changes in body weight (BW),” the team reported. “… we leveraged a unique model of GLP-1R deficiency, Glp1rWnt1-/- mice, which are resistant to GLP-1RA-induced weight loss. Remarkably, semaglutide markedly improved hepatic steatosis, fibrosis, and immune remodeling in the absence of weight reduction.”

In a further test, mice lacking LSEC receptors showed no liver improvement on semaglutide even after losing 20% of their body weight. Detailed molecular analyses of liver cell types showed that semaglutide shifts gene activity in LSCEs, prompting them to release anti-inflammatory molecules that act on the broader liver environment, pushing it toward a state more closely resembling a healthy, disease-free liver. “Together, the data using mouse models of MASH reveal an EC-specific, weight-loss-independent, semaglutide-regulated, GLP-1R-dependent intrahepatic network for improving liver health,” the scientists said.

“It turns out that the receptor responsible for these benefits is in a very specialized population of liver cells,” commented Drucker, who is also a professor of medicine at the University of Toronto. “And this receptor orchestrates the production of molecules that talk to many different types of liver cells to calm down the inflammatory environment that is the problem in metabolic disease.”

The findings carry practical implications. GLP-1 medicines have become widely prescribed, yet their mechanism of action in the body, beyond appetite suppression and blood sugar control, have remained incompletely understood. Knowing that semaglutide improves liver health independently of weight loss could influence prescribing decisions. “We’ve seen in clinical trials that patients who lose very little weight see the same reductions in liver inflammation, scarring and enzyme levels as those who lose a great deal of weight. Now we know why,” Drucker pointed out. In their paper the team concluded “Hence, semaglutide produces a broad proteomic remodeling of the liver, enabling restoration of metabolic homeostasis and suppression of fibrogenic and inflammatory programs. The strong concordance between single-cell transcriptional changes, bulk tissue proteomics, and biomarker signatures underscores the breadth of GLP-1R-mediated hepatic reprogramming.”

Physicians may choose lower doses that avoid the side effects associated with the higher doses needed for significant weight loss, potentially also lowering costs for patients, Drucker suggested adding “We’re not saying weight loss isn’t important because many things improve when patients lose weight. But we now know that weight shouldn’t be the only measure of success, because GLP-1 medicines will improve liver health whether or not the patient loses weight.”

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AACR Warns Congress of Cancer Care Setbacks from Proposed NIH Cuts, Again

Cancer researchers in the United States are once again bracing for a high-stakes funding battle in Washington, as a proposed $6 billion cut to the National Institutes of Health (NIH) for fiscal year 2027 threatens to derail years of scientific progress.

For advocates like Jon Retzlaff, Chief Policy Officer and Vice President for Science Policy and Government Affairs at the American Association for Cancer Research (AACR), the situation feels strikingly familiar and deeply consequential. That sense of déjà vu is shaping the response from the cancer research community, which is now urging Congress to once again reject the administration’s proposal just as it did last year.

To understand the urgency of the current moment, Retzlaff points back to the turmoil of the previous budget cycle. “A year ago, the president had proposed a 40% cut to NIH,” Retzlaff told Inside Precision Medicine. “Things looked pretty bleak.” The consequences were immediate and unsettling: grants were stuck and there were cutbacks on committees and staff.

But Congress ultimately intervened decisively. “We engaged with Congress, who has the power of the purse,” Retzlaff said. “They summarily rejected the president’s proposal for the 40% cuts and instead provided a $450 million increase for NIH.” Lawmakers also delivered a significant boost to the National Cancer Institute (NCI), reinforcing what Retzlaff described as a clear signal of bipartisan support for biomedical research. “What we saw for the current fiscal year… is they summarily rejected the president’s proposal,” Retzlaff said. “So now we are going through the exercise all over again.”

Despite the renewed threat, Retzlaff sees reasons for hope rooted in last year’s outcome. “People asked, ‘How can you be so optimistic?’” He recalled the earlier funding fight. “At least this year, I’m going to be able to tell them why I can be optimistic,” he said. “Because it was Congress that stood up.”

Still, he cautioned against complacency. “We can’t rest on our laurels. We can’t take it for granted,” Retzlaff said. “We will be continuing to press the issue.”

Holding down the precision oncology fort

For AACR, the renewed funding fight underscores a central truth: cancer research depends on long-term, uninterrupted investment. “You need this sustained funding over time,” Retzlaff said. “You go where the science is showing opportunities and also where there might not be opportunities right now.”

He emphasized that scientific progress is rarely linear or predictable. “Even though people can’t necessarily say it’s clear-cut that if we do research in this, we’re going to make some progress,” he said, “for some of the cancers, we just need to do research to try to have that knowledge discovery going on.”

Retzlaff added, “Basic biology is so important,” stressing that foundational science underpins every future breakthrough and the continued growth of precision medicine as the new standard of healthcare. “It’s about identifying the biomarkers that are important,” Retzlaff explained.

Meanwhile, emerging areas such as cancer vaccines are generating both excitement and urgency. “Cancer vaccines are now a big issue,” he said. “AACR is very interested in pushing that kind of research forward.”

Yet all of this progress depends on stable funding. Without it, Retzlaff warned, research priorities could narrow dangerously. “If you start cutting back, the next thing you know, we’re just funding breast cancer and lung cancer,” he said, “whereas the rare cancers need to be investigated. We need to give those people hope.”

Sustained national commitment to health

Funding cuts would also ripple through the clinical research pipeline. Retzlaff, who has become more involved in clinical trials in recent years, noted their complexity and cost.

While pharmaceutical companies often support later-stage development, early and exploratory studies depend heavily on NIH funding. “We rely on pharmaceutical companies… once you get into the translational part,” he explained, but without federal investment at the front end, fewer discoveries will ever reach that stage.

For AACR, protecting NIH funding is about more than preserving scientific momentum; it’s about sustaining a national commitment to health. “We’ve got 50,000 members,” Retzlaff said. “Two-thirds of them are from the U.S., and probably two-thirds of them are completely reliant in many ways on NIH funding.” That dependence drives the organization’s advocacy efforts. “Our number one priority is inspiring excitement on Capitol Hill and from lawmakers for robust, sustained and predictable funding for the NIH,” he said.

AACR’s outreach spans everything from congressional briefings to large-scale advocacy events. “It’s working with the entire community,” Retzlaff said, noting collaborations with hundreds of organizations and initiatives, such as Medical Research Hill Day. “We’re constantly looking at drum[ming] up conversations with the media,” he added. “It’s things like that—briefings, reports, letters—you name it.”

At the same time, AACR is navigating broader policy and public health challenges. Retzlaff highlighted ongoing engagement with the Food and Drug Administration (FDA) on issues ranging from clinical trial efficiency to tobacco regulation.

Backing cancer vaccines

Prevention, too, remains a critical priority. “HPV prevention is very important,” he said, though he acknowledged that misinformation has slowed progress. “The anti-vaccine movement is a huge concern.”

Retzlaff said that the cancer vaccine issue is rooted in communication and not the regulators. According to Retzlaff, the director of the National Cancer Institute has had some meetings with Secretary Kennedy, who was supportive of moving cancer vaccines forward. “We have to figure out what it is that people will accept about cancer vaccines that they’re not accepting about vaccines overall,” Retzlaff said. “That’s a communication issue… trying to combat the misinformation out there.”

AACR has even debated trying new names for the modality. Retzlaff elaborated, “There was some discussion about whether we can change the name of this from ‘cancer vaccines’ to something else.”

As Congress weighs the proposed cuts, AACR is calling on researchers, patients, and advocates to speak out once again. The message, Retzlaff said, is simple but urgent: “We definitely want to get the information out… about the importance of NIH medical research… and inspire people to take action.”

The outcome will determine not only the trajectory of cancer research but also the pace at which new discoveries can translate into treatments and, ultimately, save lives.

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Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App

Background: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies to predict response that allow interventions to be targeted rather than routine. Currently, no such predictive technologies are available in the United Kingdom. The Subreal app is available for use in research contexts, but no clinical data specific to the app are yet available. Early health economic modeling can use data from the literature to explore characteristics essential for the new technology to be cost-effective. This information can guide developers in setting performance targets and pricing and estimating potential cost savings and/or cost-effectiveness for health care providers. Objective: This study was supported by a UK industry funding body to explore the potential of digital technologies such as the Subreal app to offer cost savings or cost-effectiveness for health care providers. We explored the threshold price and clinical effectiveness required to deliver cost savings and cost-effectiveness in 2 subpopulations with substance use disorders in a UK setting. Methods: Deterministic models were used to estimate costs per relapse and quality-adjusted life years over 1-, 5-, and 20-year time horizons for people who have achieved abstinence after treatment for alcohol or opioid misuse. The intervention was a digital technology predicting relapse, provided—in addition to standard care—for 1 year post achievement of abstinence. In Subreal, biomarker data are collected daily through the app, and artificial intelligence–enhanced risk assessment flags patients who require additional support. The comparator was event-driven, reactive response to relapse. Costs and quality-of-life estimates were calculated using Markov models with data from existing published sources. The base-case estimate of 15% reduction in first-year relapse rates was based on a previous study on a similar but simpler digital technology. Results: Digital technologies such as the Subreal app have the potential to be cost-saving from a UK health and social care perspective, especially when used over a longer time horizon. Assuming a reduction of 15% in first-year relapse rates, digital technologies have the potential to be cost-saving, provided that they do not cost more than £300 (US $400.09) and £460 (US $613.47) per patient per annum for alcohol and opioid use disorders, respectively. No cost was included for postalert care, as it was assumed that this could be met within existing resources. Cost savings would be achieved predominantly through a reduction in treatment requirements as fewer people relapse. Price thresholds would reduce correspondingly if a <15% reduction in relapse rates were achieved. Conclusions: Developers of digital technologies that aim to reduce relapse need to focus on the generation of evidence of clinical effectiveness and develop a commercially sustainable pricing model that allows health care providers to benefit from cost savings.

Down Syndrome Chromosomal Therapy Draws Closer

Gene editing has been able to silence the extra chromosome that is mostly responsible for Down syndrome (DS) in a cell-based study that could be the first step towards therapeutic treatment.

The approach uses a modified form of CRISPR-Cas9 to alter precise sections of DNA.

Researchers used this to insert the X-inactivation specific transcript (XIST) gene to deactivate X chromosomes in female cells, thereby correcting chromosomal triplication.

The partial transcriptional correction, reported in PNAS, offers a scalable, targeted platform for chromosomal therapy in Down syndrome and other aneuploidy disorders, which are conditions involving an abnormal number of chromosomes.

“These studies overcome a major hurdle in the treatment of Down syndrome (a genetic disorder cause by three rather than two copies of chromosome 21) by dramatically increasing the efficiency with which to insert XIST onto a single copy of chromosome 21 and thereby silencing this third copy,” senior researcher Volney Sheen, PhD, from Beth Israel Deaconess Medical Center, told Inside Precision Medicine.

“Determination of the best ways and times to deliver these constructs to the brain will become the next focus as we seek a clinical treatment for DS.”

Down syndrome is the most common genetic disorder and occurs in one out of 700 live births. It is linked with cognitive impairment, heart defects, and early-onset Alzheimer’s disease and results from the triplication of approximately 500 genes as well as other genetic changes on chromosome 21.

The XIST gene produces a long, noncoding RNA that inactivates many of the genes on one of the two X chromosomes of female mammals. It has therefore been mooted as a treatment for Down syndrome but technical limitations, including low levels of gene integration, have hindered progress.

In an attempt to address this, Sheen and team created a CRISPR-based method that involved fusing a codon-optimized λ-phage with Cas9, assembling single guide (sg)RNAs specific to single nucleotide polymorphisms (SNPs), and enhancing donor-acceptor DNA pairing.

The modified CRISPR-Cas9 method achieved a high level of genomic integration of large genetic material, improving the efficiency and specificity of XIST integration.

Inserting XIST onto one of the trisomic chromosome 21 alleles using SNP-dependent sgRNAs achieved an integration efficiency of 20% to 40% for the 14kb XIST gene.

XIST integration was revealed through expression of the enhanced green fluorescent protein reporter, clonal sequencing of individual lines, and fluorescent in situ hybridization.

The team further demonstrated that XIST activation led to upregulation of epigenetic markers, broad downregulation of messenger RNA expression on chromosome 21, and downregulation of specific genes on this chromosome.

“Our findings demonstrate atrial transcriptional correction of trisomic gene dosage and offer a scalable targeted platform for chromosomal therapy in DS and other aneuploidies,” the researchers reported.

They added: “The modified CRISPR method with XIST paves a rode for therapeutic treatment for DS.”

The post Down Syndrome Chromosomal Therapy Draws Closer appeared first on Inside Precision Medicine.

AWS Launches Amazon Bio Discovery Agentic AI to Accelerate Drug Development

AWS has now unveiled Amazon Bio Discovery, an AI platform that grants researchers direct access to a broad library of biological foundation models that can be fine-tuned for specific use cases in drug discovery. Announced at the AWS Life Sciences Symposium at the Javits Center in New York, the platform is supported by an AI agent that can select models for research goals, and evaluate candidates for synthesis and testing to enable a rapid lab-in-the-loop experimentation cycle.  

While rising AI models show promise, they require coding skills and the ability to manage computing infrastructure. Additionally, diverse models face benchmarking challenges and moving candidates from computational design to physical synthesis remains a multi-step process. Given that data live in disconnected systems, scientists must manage multiple lab partners and manually coordinate timelines and execution.

Amazon Bio Discovery addresses these challenges with three capabilities: a benchmarked library of AI models and analysis packages, an AI agent that supports experimental lab, and integrated lab partners that test top antibody candidates and route results back to the researchers. This feedback loop improves the next round of design. 

“AI agents make powerful scientific capabilities accessible to all drug researchers, not just those with computational expertise,” said Rajiv Chopra, PhD, vice president of AWS Healthcare AI and Life Sciences.  

Currently, 19 of the top 20 global pharmaceutical companies use AWS to power research workloads. Amazon Bio Discovery will bring enterprise-grade scale, privacy, and security to researchers across pharmaceutical, biotech, and academic research organizations. MSK, Bayer, the Broad Institute, and Voyager Therapeutics are among early adopters of Amazon Bio Discovery. 

Among the Amazon Bio Discovery broad catalog includes open-source and commercial models from Apheris and Boltz. Biohub and Profluent are expected to join the platform. 

Amazon Bio Discovery enables scientists to fine-tune the model by feeding prior experimental data from their organization’s lab results into the application without complex training pipelines or custom code. In-house models can also easily be deployed and hosted within Amazon Bio Discovery.  

To support model selection, an antibody benchmark dataset is available to evaluate the likelihood of a drug candidate to have favorable biological properties, such as manufacturability and stability. 

Candidates selected for experimental validation can be directly sent to Amazon Bio Discovery’s integrated network of laboratory partners, including Twist Bioscience, Ginkgo Bioworks. A-Alpha Bio is also anticipated to join the network. 

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From Colossal to Chickens: The Scientists Behind Neion Bio’s Biologics Platform

Twenty years ago, Sven Bocklandt, PhD, sought to create a hypoallergenic cat. He had the genetic engineering chops to do it, but the embryology was beyond his capabilities. At a small animal genetic engineering conference, known as TARC (Transgenic Animal Research Conference), held near Lake Tahoe, he met James Kehler, VMD, PhD, whose research at that time was to make transgenic and knockout cats as models of human disease.  

The two men bonded, agreed the hypoallergenic cat idea was “crazy enough,” and decided to move forward with it. They worked together, completely unfunded, for years—FedEx’ing samples back and forth as Bocklandt was on the west coast and Kehler on the east coast—trying to make their “garage cat” while each one worked different day jobs.  

Bocklandt, passionate about animal genome engineering, continued to develop different ideas for genome engineering in animals. Around the same time that he started sharing his ideas with scientists like George Church, PhD, a start-up focused on animal genome engineering was taking shape—Colossal Biosciences, co-founded by Church. Introductions were made, and Bocklandt joined in 2022 as species director to work on the dire wolf project. Kehler joined a short time later as VP. And everyone knows the rest of that story (there was no shortage of media coverage).  

The pair eventually succeeded with the cat project: his name is Archie, and he is, Kehler noted, only partially hypoallergenic. But the generation of Archie and the dire wolves may not be the successes of this story. The real success may be what Bocklandt and Kehler learned along the way—and what they are going to do next.  

Chickens as the next biologic factory

Neion Bio, co-founded by Dimi Kellari and Sam Levin, PhD, and located on the Rockefeller University campus on the east side of Manhattan, is aiming to re-engineer eggs to produce drugs in chickens. The team uses genetic engineering to integrate therapeutic proteins into native egg proteins, creating a new manufacturing platform for drugs that runs on grain and water.  

Bocklandt joined the team at Neion Bio as CSO after leaving Colossal in 2024; Kehler joined more recently, as head of avian sciences. 

When thinking about producing complex proteins, using the chicken “makes a lot of sense,” Bocklandt told GEN. Breeding and genetic engineering are all established in the chicken. And the vaccine industry has established an existing infrastructure to grow eggs under disease-free conditions. Purifying proteins out of an egg, Bocklandt added, is easier than purifying them out of a Chinese hamster ovary (CHO) culture (the traditional cell choice for drug production) because there are fewer host proteins.  

Sven Bocklandt, PhD [Marco Figueroa]

It makes “far more sense” than what we’re doing right now, Bocklandt noted, which is using CHO cells. “Everyone is doing that because everyone has been doing it that way,” he asserted.  

“The fact that we’re now seriously questioning whether CHO cells should remain the default manufacturing platform for biologics is long overdue,” noted Ola Wlodek, PhD, CEO of Constructive Bio. “Any credible new approach that breaks this decades-old lock-in is ultimately good for patients and for the field.”  

For Kehler, who did his graduate work in the lab of stem cell pioneer Hans Schöler, PhD, the chicken is a clear choice because it is the only species, besides the mouse, where the primordial germ cells have been used to transmit genetically modified gametes to the next generation.  

Mike McGrew, PhD, group leader at the Roslin Institute in the U.K., and an advisor to Neion Bio, demonstrated years ago that modifying chicken primordial germ cells is a reliable way of making gene-edited chickens. This background is comforting to Kehler, who noted that, “unlike at Colossal, where everything was bleeding edge, we are able to focus on a single species and capitalize on some pretty tried and true technology.”  

Drugs in eggs meet biomanufacturing reality

The lab space on the Rockefeller University campus can support research and even house chickens. But it cannot support the production of a drug. When asked about turning their egg-borne proteins into drugs, the company leans on the existing infrastructure that supports vaccines in specific pathogen free (SPF) eggs. The idea is that the egg whites will be frozen in giant batches and then processed in a CDMO.  

When asked about potential challenges, Bocklandt noted that, “technically, there’s not much to worry about. I have no concerns about Neion Bio being able to do what we want to do or what we need to do.”  

But there may be hurdles ahead. Rahul Dhanda, co-founder, president, and CEO of Syntis Bio, told GEN that “at the beginning, everything can look like it has infinite potential—it’s when you actually build and operate the system that the real challenges show up.”  

More specifically, Dhanda pointed out that biomanufacturing “ultimately comes down to reliable, consistent, and cost-efficient production.” Leveraging animal biology for drug manufacturing is exciting, he noted, “but scalability and cost are still open questions, especially at this early stage. Biological variability between animals and individual outputs, like eggs, introduces additional risk compared to more controlled cell-based systems,” Dhanda added.  

Wlodek agreed: “because egg-based production is inherently a biological supply chain, it will face avian flu risks, batch-to-batch variability from seasonal and flock effects, animal-welfare/regulatory overhead, and practical limits on how fast you can expand output compared with stainless-steel or single-use fermenters.” 

Microbial and yeast systems still “win decisively on GMP containment, land/water footprint,” she noted, and “the ability to go from a few liters to tens of thousands of liters in weeks rather than months.” 

Dhanda agreed that “getting it to work in principle is far different from getting it to work at scale, and that seems far off.” 

If these challenges can be addressed at scale, safely and humanely, Dhanda noted, the approach could deliver meaningful health benefits—”but there are still significant logistical and technical hurdles to work through.”  

Engineering the chicken genome

Creating dire wolves at Colossal started with deriving wolf cells, editing them, and cloning them back into a live animal. But cloning doesn’t exist in birds. To genetically engineer chickens, the Neion Bio team edits the germline, starting the process with a fertilized egg.  

Neion Bio
Neion Bio [Marco Figueroa]

The egg is incubated for 65 hours, at which point germ cells float in the blood because the ovaries and testes don’t exist yet. A microliter of the blood is removed, put into cell culture media, and the germ cells grow out. The transgene that codes for the therapeutic protein is inserted using CRISPR-Cas enzymes, in the coding region of a gene that codes for Ovalbumin—which makes up a bit over 50% of the egg white protein. This protein is made “on a massive scale” by the oviduct, the company noted.  

The genome is screened for correct integration and potential off-target edits. Once the clone is approved, several thousand cells are injected back into another embryo (also at 65 days old). After incubation, the egg hatches and becomes a chicken. 

Kanuma set the precedent—but not the scale

In 2015, the U.S. Food and Drug Administration approved Kanuma (sebelipase alfa) to treat Lysosomal Acid Lipase (LAL) deficiency, also known as Wolman disease. The drug, an enzyme replacement therapy, was the first treatment for patients with the rare disease and the first drug to be made in chickens. Kanuma is produced by Alexion Pharmaceuticals, which was acquired by AstraZeneca in 2021.  

This historical precedent may provide a proof of concept for Neion Bio. That said, “the scale required for Kanuma is very different from what would be needed for large biosimilars,” explained Wlodek.  

An Odyssean journey

For both Bocklandt and Kehler, the move to Neion Bio feels like their careers are coming full circle. When Bocklandt first left Colossal, he was not sure how he would surpass that level of excitement. But the move came at an interesting time for him; the call to join Neion Bio came just weeks after he learned that his sister had been diagnosed with leukemia.  

He thought, “Well, maybe this is not such a bad use of my skills.”  

Earlier in his career, he didn’t think that he had anything special to add to a field like cancer research. But now Bocklandt sees it differently: throughout his career, he has pushed the state-of-the-art of genetic engineering. Now, he said, “I bring something to the field. And the fact that I can do my passion, animal genetic engineering, and apply that to make drugs better, cheaper, and more accessible, is really exciting.”  

As for Kehler, Neion’s goal was his goal all along. He went to the University of Pennsylvania to make better animal models to test drugs for humans. “It never really dawned on me that we could use animals to make the drugs for humans. But taking everything I know about stem cell biology, germ cell biology, and gene editing, and bringing that to bear to make what should be a disruptive, transformational approach to making drugs—it feels like the culmination of my career.” 

Neion (pronounced Neon) Bio is named after the birthplace of Odysseus; Mount Neion is a mountain mentioned in Homer’s The Odyssey as a landmark on Ithaca—Odysseus’ island home. As described by the company, the name is a testament to the shared qualities between the Greek hero and the company’s goals: relying on intelligence and resourcefulness over strength. And yes, Odysseus was successful in his return home to reclaim his throne. But it was a bittersweet success given the enormous cost and hardship.

Neion Bio’s name may mirror the resilience and ingenuity required to undertake the journey, but time will tell how long the similarities in the namesake are shared between the two.

The post From Colossal to Chickens: The Scientists Behind Neion Bio’s Biologics Platform appeared first on GEN – Genetic Engineering and Biotechnology News.

STAT+: Pharmalittle: We’re reading about an FDA push for trial transparency, a Novo-OpenAI deal, and more

Rise and shine, everyone, another busy day is on the way. And it is getting off to a good start here on the Pharmalot campus, where clear blue skies and unusually balmy breezes are greeting us. Who could ask for anything more? Actually, we could — it is time to reheat the kettle for another cuppa stimulation. Our choice today is elderberry-infused green tea. And here is a helpful tip — a teaspoon of honey enhances the flavors splendidly. Of course, you are invited to join us. For the full experience, we are now hawking replicas — take a look. Meanwhile, here are a few tidbits to help you along. As always, do keep in touch. We appreciate feedback, suggestions, criticism, and tips. …

In a bid toward greater transparency, the U.S. Food and Drug Administration sent reminder letters to more than 2,200 companies and researchers that they are required to report clinical trial results to a federal government database or they may face fines, STAT says. FDA officials disclosed that an internal analysis found results were not submitted for nearly 30% of studies that were “highly likely” to fall under mandatory reporting requirements. The agency also noted that the letters were sent to companies and researchers associated with more than 3,000 registered trials, some of which were publicly funded. In explaining its move, the regulator acknowledged a long-standing complaint from researchers who have argued that without access to specific data, trial results cannot be easily duplicated, which inhibits greater understanding of how medicines might work.

Novo Nordisk and ChatGPT maker OpenAI agreed to work together on how to leverage artificial intelligence to discover new drugs, the latest AI partnership in the medical field as health care companies seek to harness the technology to get ahead of the competition, The Wall Street Journal tells us. The drugmaker said it would integrate OpenAI’s models across its operations to help its workforce analyze complex datasets and reduce the time it takes to move from research to delivering treatments to patients. The group said the partnership would boost efficiency across the organization, with pilot programs initially launching in research and development, manufacturing, and commercial operations ahead of a full AI integration by the end of the year.

Continue to STAT+ to read the full story…