Low-Cost, Portable Biotech Tools Improve Access to Bioresearch and Diagnostics

A global research team headed by scientists at University of Toronto’s Leslie Dan Faculty of Pharmacy has demonstrated the effectiveness of a suite of low-cost, portable biotechnology tools that are designed to improve access to laboratory research and diagnostics in resource-limited settings.

The newly reported study highlights how decentralized biomanufacturing tools and freeze-dried reagents can help researchers produce high-value biological materials locally—reducing reliance on fragile international supply chains and expanding access to life sciences innovation globally.

“For labs in low- and middle-income countries [LMICs], access to high-quality supplies and equipment is a chronic problem,” says research lead Keith Pardee, PhD, associate professor at the Leslie Dan Faculty of Pharmacy Pardee. “Shipping can take a long time, it’s expensive, and products often require a cold chain to retain their effectiveness. This research is in response to those challenges to develop tools that are more accessible for labs in lower-resource settings and improve research equity.”

Pardee, alongside collaborators including Camila González, PhD, at the Universidad de los Andes, Bogotá, Fernán Federici, PhD, at Millennium Institute for Integrative Biology (iBio), Santiago, and Lindomar Pena, PhD, at Aggeu Magalhães Institute (IAM), Oswaldo Cruz Foundation (Fiocruz), Recife, reported on the study in Science Advances. In their paper, “International multisite implementation of distributed cell-free protein biomanufacturing to advance health and research equity,” the authors concluded, “This study lays the foundation for fundamental shifts in biotechnology manufacturing practices in LMICs and developing nations, moving from reliance on centralized and outsourced production facilities to adopting decentralized, local production platforms.”

“Emerging biotechnologies hold transformative potential to strengthen economic and health security, while benefiting the planet,” the authors wrote. However, they pointed out, “Access to advanced tools, such as molecular diagnostics, life-saving treatments, and biomanufacturing infrastructure, remains largely concentrated in wealthier regions, thereby restricting access to transformative solutions for communities that need them most.”

A key factor is the reliance on centralized bioproduction systems, “… which require sophisticated, capital-intensive infrastructure and cold supply chains that are often unavailable in resource-limited settings.” Access to healthcare is similarly affected by the availability of biomanufacturing capacity and biologistics, which can slow delivery of diagnostics, delay disease control programs, and limit the ability to carry out life sciences research.

For their newly reported work the team focused on synthetic biology and cell-free systems—technologies that isolate and freeze-dry the molecular machinery needed to produce proteins commonly used in life sciences research. Because the reagents are freeze-dried, they can be shipped and stored without refrigeration, then reactivated simply by adding water. “One promising avenue to improving access is cell-free protein synthesis (CFPS), which offers the potential to empower communities through affordable, low-burden, on-site production of critical bioreagents, diagnostic tools, and therapeutic agents,” the researchers stated.

They paired these systems with low-cost, adaptable hardware, including a 3D-printed hand-powered centrifuge developed by postdoctoral fellow Mohammad Simchi, PhD, at the Leslie Dan Faculty of Pharmacy. Together, the technologies enabled teams to produce a range of research proteins and diagnostic tools in diverse settings, from conventional laboratories to remote field locations.

“With efficient, low-cost systems in place, rapid on-site production of high-value bioproducts for research, including growth factors, vaccines, and diagnostic enzymes, became achievable within a single day and at a fraction of the typical cost,” they commented.

Using the platform, researchers successfully produced growth factors used in life sciences research and therapeutics, as well as a SARS-CoV-2 vaccine candidate tested in mice and diagnostic tools targeting several clinically relevant pathogens. Using molecular, cell-based, animal model, and clinical sample testing, the bioproducts were validated through proof-of-concept studies and multisite clinical trials. “Direct comparisons with high-cost commercial reagents, the current gold standards, demonstrated similar performance, efficiency, precision, and reproducibility,” the investigators further noted.

First author Severino Jefferson Ribeiro da Silva, PhD, a postdoctoral fellow in Pardee’s lab, said, “Our work shows that it is possible to produce high-value bioreagents on site, essentially anywhere. Through this work, we demonstrated our tools across diverse international settings while maintaining performance comparable to commercial products.”

The authors say that, to their knowledge, the study is the first to translate cell-free biomanufacturing from laboratory to real-world use, across multiple geographic settings, including those that historically have had limited access to the bioeconomy. “By prioritizing accessibility, affordability, and reproducibility, we show that cell-free biomanufacturing is a transformative tool for expanding global research capacity and, ultimately, health equity and participation in the bioeconomy.”

A key component of the project involved testing the systems in a variety of environments across Canada and internationally. Da Silva travelled to the Algonquin Highlands to evaluate diagnostic tools for tick-borne pathogens and tuberculosis, while graduate student Quinn Matthews travelled to the Yukon where he produced and purified proteins using the portable system on a mountain outside Whitehorse.

Collaborators in Chile, Brazil, Colombia, and India also tested the systems, helping ensure the technologies addressed the practical realities faced by researchers in different regions. The project involved extensive international collaboration, including regular meetings, student exchanges and knowledge sharing among participating teams.

Da Silva says the research team experienced first-hand many of the logistical challenges their collaborators routinely face, including lengthy customs delays and damaged shipments containing critical reagents.

“Those experiences highlighted how dependent many researchers and labs still are on fragile international supply chains. If a shipment is delayed, an entire project can stop,” says da Silva. “This work makes it possible to reduce that dependency by enabling local production of key proteins directly at the point of need.”

The researchers say the long-term goal is to help research labs in remote and underserved regions gain access to high-quality diagnostics, research reagents and biomanufacturing capabilities produced closer to home, strengthening resilience against future supply chain disruptions while empowering their research capacity and address local healthcare needs. “With their low cost and operational simplicity, we see these platforms and similar disruptive technologies … as part of a new generation of tools that will help shape a future in which bioreagents, advanced diagnostics, and life-saving therapeutics are accessible to all.”

Da Silva added, “This work is really about access and scientific empowerment. Many labs worldwide have the expertise and ideas to conduct life sciences and applied science research, but they face major challenges accessing key bioreagents and essential materials. Decentralized biomanufacturing could help reduce those barriers and make research and diagnostics more accessible globally.”

The post Low-Cost, Portable Biotech Tools Improve Access to Bioresearch and Diagnostics appeared first on GEN – Genetic Engineering and Biotechnology News.

GLP-1 Weight Loss Drugs Linked to Lower Breast Cancer Risk

The rapid rise of GLP-1 receptor agonists has transformed the treatment of obesity and type 2 diabetes. Now, a large observational study suggests these drugs may also play a role in cancer prevention.

Researchers from the Perelman School of Medicine reported that women taking GLP-1 medications were significantly less likely to develop breast cancer than comparable women who did not receive the drugs. The findings, presented at the 2026 American Society of Clinical Oncology Annual Meeting and simultaneously published in JCO Oncology Practice, add to a growing body of evidence linking GLP-1 therapy to reduced cancer risk.

While the study cannot establish causation, investigators say the results provide a strong rationale for prospective clinical trials evaluating whether GLP-1 drugs could become part of future breast cancer prevention strategies.

Beyond weight loss

GLP-1 receptor agonists were originally developed to improve blood glucose control in patients with type 2 diabetes. More recently, agents such as semaglutide and tirzepatide have become widely used for weight management because of their ability to produce substantial and sustained weight loss.

Interest in the drugs has expanded beyond metabolic disease as researchers have begun exploring their broader biological effects. Obesity is a well-established risk factor for postmenopausal breast cancer, and GLP-1 therapies influence several pathways implicated in cancer development, including chronic inflammation, insulin signaling, and metabolic regulation.

“While our study was observational and does not definitively confirm an association between GLP-1 medications and reduced breast cancer incidence, it does add to the growing body of evidence suggesting that it’s worth investigating these weight-loss drugs as potential cancer prevention tools,” said Elizabeth McDonald, MD, PhD, professor of radiology at Penn Medicine and lead investigator of the study.

Lower breast cancer rates across multiple analyses

The researchers analyzed electronic health records from women who underwent breast imaging at Penn Medicine between January 2022 and June 2025.

The primary analysis included nearly 95,000 women between the ages of 45 and 80 who had a body mass index above 25, placing them in the overweight or obesity categories. Approximately 15,000 women had documented exposure to a GLP-1 medication before breast imaging, while nearly 80,000 had no recorded use of the drugs.

Breast cancer was diagnosed in 1.65% of women who had received a GLP-1 prescription compared with 2.6% of women who had not.

After statistical analysis, GLP-1 use was associated with a 37% reduction in the odds of developing breast cancer.

To address potential confounding factors, investigators also performed a propensity-matched analysis pairing GLP-1 users and non-users based on age, race, ethnicity, body mass index, breast density, and diabetes status.

The association remained significant in the matched cohort, where GLP-1 exposure was linked to approximately 25% lower odds of breast cancer diagnosis.

“These findings support the need for prospective trials investigating incretin medications for breast cancer prevention,” the authors concluded in their ASCO abstract.

Why might GLP-1 drugs affect cancer risk?

The biological explanation remains uncertain, but several plausible mechanisms exist.

Weight loss itself is likely an important contributor. Excess adipose tissue promotes inflammation, alters hormone levels, and creates a metabolic environment associated with increased breast cancer risk, particularly after menopause.

However, researchers suspect the benefits may extend beyond weight reduction alone.

GLP-1 receptor agonists have been shown to reduce systemic inflammation, improve insulin sensitivity, and influence metabolic pathways that may contribute to tumor initiation and growth. Emerging laboratory studies have also suggested potential effects on cellular signaling and epigenetic regulation.

“GLP-1 medications are intriguing from a cancer research perspective because they weren’t designed for cancer therapy, but they do affect many different targets and pathways associated with cancer development, so we’re eager to study them in this context,” McDonald said.

A potential new approach to prevention

The findings arrive at a time when breast cancer prevention options remain limited.

For women at very high genetic risk, preventive mastectomy can dramatically reduce cancer incidence but is an irreversible surgical intervention. Anti-estrogen therapies such as tamoxifen can also reduce risk substantially, yet uptake has historically been low because of concerns about side effects.

In contrast, GLP-1 medications are already being used by millions of patients worldwide and have established safety profiles in obesity and diabetes management.

If future prospective studies confirm a protective effect, these agents could potentially represent a new category of pharmacologic prevention for women at elevated breast cancer risk.

Researchers at Penn are already planning a multisite clinical trial that will evaluate whether GLP-1 therapy can reduce breast cancer incidence among high-risk women, including breast cancer survivors.

Important limitations remain

Despite the encouraging findings, the study has several limitations typical of retrospective analyses.

The investigators did not evaluate individual GLP-1 agents, duration of treatment, genetic predisposition, breast cancer subtype, or stage at diagnosis. Residual confounding also remains possible despite matching analyses.

Because the study was observational, it cannot determine whether GLP-1 therapy directly lowers breast cancer risk or whether other factors associated with medication use contributed to the observed differences.

Nevertheless, the consistency of the signal across multiple analyses strengthens the case for prospective investigation.

“Ultimately, we want to find better options to prevent breast cancer,” McDonald said. “It’s been encouraging to see the survival rates for breast cancer improve over recent decades, and we’d love to see the same gains in prevention.”

As GLP-1 therapies continue to reshape obesity treatment, researchers are increasingly asking whether their benefits extend far beyond weight management. This study suggests breast cancer prevention may be one of the most important questions to answer next.

The post GLP-1 Weight Loss Drugs Linked to Lower Breast Cancer Risk appeared first on Inside Precision Medicine.

The Download: AI can run your admin department now

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How small businesses can leverage AI

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. Large companies can hire experts to handle these tasks, but small businesses don’t always have that luxury.

That’s where AI comes in. Today’s models can already take on a range of basic administrative work, from organizing notes and summarizing meetings to invoicing, goal-setting, and social media planning. Find out how small-business owners can put AI to work.

—Peter Hall

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Anthropic has confidentially filed for IPO ahead of OpenAI
It aims to go public as early as this fall. (CNN)
+ The company did not disclose its target valuation. (Guardian)
+ It’s expected to list shortly after a trillion-dollar IPO by SpaceX. (BBC)
+ Beating OpenAI in the IPO race could have a big impact. (WSJ $)

2 The EU may exclude US cloud giants from critical contracts
The likes of Amazon, Microsoft, and Google could be shut out. (Reuters $)
+ The EU aims to reduce its dependence on US tech. (FT $)
+ Trump supercharged this sovereignty push. (Politico $)

3 Florida has become the first state to sue OpenAI
The lawsuit targets ChatGPT’s alleged child safety risks. (NPR)
 + Florida says OpenAI put profit ahead of safety. (Reuters $)
+ Chatbots are now starting to check user ages. (MIT Technology Review)

4 Hackers stole Instagram accounts just by asking Meta AI for them
They easily broke into a host of celebrity profiles. (404 Media)
+ The exploit shows the risk of offloading support to AI. (TechCrunch)
+ AI is making online crimes easier. (MIT Technology Review)

5 Chinese universities with military ties are seeking Nvidia chips
Two are blacklisted by the US Commerce Department. (Bloomberg $)
+ The Chinese military has sought restricted Nvidia chips for years. (NYT $)
+ US senators have slammed a loophole in chip export rules.
(Reuters $)

6 Blue Origin and NASA disagree on a crucial rocket’s next flight
+ Blue Origin says the rocket will fly again this year. (Engadget)+ But NASA is less optimistic. (CNBC)+ The rocket’s failure cast doubt on NASA’s moon plans. (BBC)

7 Moderna has won funding to develop an Ebola mRNA vaccine
The CEPI has pledged over $60 million to the effort. (Ars Technica)
+ To fight an outbreak raging out of control. (MIT Technology Review)

8 China is using AI to predict future political dissent
A company called Geedge Networks is developing the tech. (NYT $)

9 Geoengineering can thicken Arctic ice, but melt results are mixed
Trials show the tech has had a limited impact. (New Scientist $)

10 Top AI labs are expanding research into machine ‘consciousness’
Meta, Anthropic, and DeepMind are increasing their investments. (FT $)
+ A new tool could show how consciousness works. (MIT Technology Review)

Quote of the day

“Sam Altman and ChatGPT have chosen the AI race over the safety and security of our kids. They have chosen profit over public safety, and we’re not going to stand for it in here in Florida.” 

—Florida Attorney General James Uthmeier tells reporters why his state is suing OpenAI, the LA Times reports.

One More Thing

An open door in a corrugated metal building
The entrance to the Moscow storage facility of KrioRus, which was until recently the only cryonics company in Eurasia.
ALESSANDRO GANDOLFI


Why the sci-fi dream of cryonics never died

Cryonics is best known for its appearance in sci-fi films like 2001: A Space Odyssey. But its adherents have held on to a dream that advances in medicine will one day allow for resuscitation and additional years on Earth.

Around 500 people are preserved in liquid nitrogen globally, while another 4,000 are on waiting lists. Despite scant evidence that cryonics can work, believers remain optimistic that future science could eventually revive them.

Discover why the hope of human reanimation refuses to die.

—Laurie Clarke

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Hear Dolly Parton reimagined through this spot-on Dire Straits-style cover of “Jolene”.
+ Find out which birds people search for most in this interactive visualization of bird popularity.
+ Explore thousands of Q&As between students and astronauts on the ISS at this interactive site.
+ Paris’s oldest bridge disappeared beneath a giant inflatable cave in this surreal public art installation.

Chemotherapy-related cognitive impairment and non-pharmacological interventions targeting the nervous system: a systematic review

BackgroundChemotherapy-related cognitive impairment (CRCI) represents an increasingly recognized problem in the growing cancer survivor population within the US and worldwide. CRCI is characterized by deficits in memory, sustained attention, and executive function, which significantly worsens the cancer survivors’ quality of life. An increasing number of studies have been conducted using novel intervention approaches aimed at mitigating CRCI. In this systematic review, we sought to summarize the current evidence of cognitive improvement in cancer survivors receiving non-pharmacological interventions with neurostimulatory effects following chemotherapy.MethodsWe screened five databases (Embase, MEDLINE, PubMED, Scopus, and PsycINFO) for original articles reporting the administration of any type of brain stimulation or complementary/alternative therapies targeting the central and/or peripheral nervous system to improve cognitive outcomes in cancer survivors reporting CRCI. We systematically extracted information from each eligible study using participant, intervention, comparison, outcome(s), and study design (PICOS) framework according to Cochrane recommendations. We used the critical appraisal tool by Joanna Briggs Institute to assess the risk of bias.ResultsAfter screening 2,708 manuscripts, we performed a full-text review of 77 papers and identified 17 studies that met our inclusion criteria: nine randomized controlled trials, four case reports, one case series, two quasi-experimental study, and one cohort study. We identified seven studies which focused on CRCI and 10 others where cognitive function was properly reported for inclusion. Subjective and objective cognitive outcome measures reflecting overall performance, attention, working memory, processing speed, and quality of life with separate cognitive function reporting were assessed in patient(s) treated with transcranial direct current stimulation, transcranial magnetic stimulation, multisensory stimulation, Flexyx neurotherapy system, acupuncture, and electroacupuncture. Mild improvements in some of the cognitive outcome measures were observed in all studies. The weaknesses of these studies can be attributed to insufficient statistical power and testing, lack of a control group, randomization, blinding, and incorrect statistical methods.Discussion and conclusionWe found only a handful of trials reporting cognitive outcomes in CRCI interventions, with small sample sizes and biased study designs limiting the validity of the statistically significant findings. Our systematic review provides rationale for assessing the impact of non-pharmacological neurostimulatory techniques on CRCI in large-scale randomized controlled trials.

Platform shift in mental health support among undergraduates: from campus counselors to GenAI-based consultation​

China is advancing the implementation of the “AI+” initiative and exploring the promotion of AI technology in scenarios such as health management and assisted diagnosis. Against this backdrop, universities are accelerating the adoption of GenAI virtual counseling tools to address the growing psychological issues among undergraduates, including depression, anxiety, and academic stress. However, research on why students are shifting from traditional in-person psychological consultations to GenAI consultations remains limited. Therefore, this study focuses on the student population, collecting data through online questionnaires and employing the PLS-SEM method to systematically analyze the key factors and underlying mechanisms influencing students’ willingness to transition from campus psychologists to GenAI virtual doctors. The findings reveal that privacy concerns, social anxiety, and stigma surrounding mental illness significantly enhance students’ inclination toward AI consultations. The comfort level of interacting with AI and the accessibility of AI services play mediating roles. Additionally, perceived AI information quality significantly moderates the pathways through which privacy concerns, social anxiety, and stigma influence the willingness to switch. This study provides a theoretical foundation and practical reference for universities to develop intelligent psychological support systems that align with students’ actual needs.

Reduced left dorsolateral prefrontal activation and right inferior frontal de-oxygenation differ between psychotic and non−psychotic adolescent depression during verbal fluency

BackgroundAdolescents with major depressive disorder (MDD) who exhibit psychotic symptoms (MDD-Psy) often show greater clinical severity and higher suicide risk than those without psychosis (MDD-NonPsy). It remains unclear whether prefrontal hemodynamic responses during cognitive challenge can differ between these subgroups.MethodsWe recruited 273 adolescents aged 14–16 years (110 MDD-NonPsy, 163 MDD-Psy). All completed a 60-s verbal fluency task (VFT) while 53-channel functional near-infrared spectroscopy recorded oxy- and deoxyhemoglobin (HbO, HbR) from six frontal ROIs. Whole-brain FDR correction identified baseline-deviated channels, and ROC analyses tested the discriminative value of significant channels/ROIs. Clinical severity was indexed by the Kutcher Adolescent Depression Scale (KDAS) and the Brief Psychiatric Rating Scale (BPRS).ResultsCompared with MDD-NonPsy, adolescents with MDD-Psy exhibited higher KDAS (median 16 vs 13; z = -7.07, p < 0.001) and BPRS total scores (median 35 vs 28; z = -11.02, p < 0.001). After FDR correction, MDD-NonPsy showed positive deviations at channels 8 and 23 (t = 2.10-2.70, pFDR=0.038), whereas MDD-Psy exhibited negative deviation at channel 2 (MNI –60, 19, 18; left middle frontal gyrus; t =-2.89, pFDR = 0.004). Across ROIs, only right inferior frontal gyrus HbR differed between groups (median –0.03 vs 0.00 mM·mm; z = -2.18, pFDR = 0.030). No ROI-level HbO differences survived correction. At the single-channel level, HbO at channel 2 and HbR in IFG_R correlated modestly with lower KDAS and restlessness scores (ρ = –0.14 to –0.16, p <0.050). ROC analyses indicated modest but significant classification accuracy for psychosis (AUC = 0.577-0.581, p = 0.030).ConclusionsLeft dorsolateral and right inferior prefrontal hemodynamic signatures differ between adolescents with MDD who present with versus without psychotic features. However, given the absence of healthy control or other psychiatric comparison groups, these findings cannot establish diagnostic specificity. Pending replication in independent samples, these fNIRS−derived hemodynamic signatures may inform future hypothesis−driven research.

Rehumanizing global health care with agentic AI

The global health care sector is under increasing strain. 

Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse. The World Health Organization has warned that current shortfalls will increase to 11 million workers by 2030. 

In their urgent hunt for a solution, many health-care providers are now pinning their hopes on agentic AI, with more than two-thirds (68%) having already adopted AI agents into their workforce, according to KPMG. 

The technology is being deployed to automate complex back-office processes, collaborate with medical teams, and even triage patients, all in a bid to reduce the cognitive load on clinicians and improve quality of care for patients as the supply of human health-care workers dwindles.

A different type of digitalization 

Until now, the benefits of digitalization within health care have been limited. 

Many staff have blamed slow or outdated technology for adding to the administrative burden rather than alleviating it. For example, U.S. patient data was migrated to electronic health records (EHRs) in the early 2000s, but this data remains fragmented and reliant on manual inputs. 

New telehealth services and digital care tools, like remote monitors, have had similar shortcomings, says Ashis Barad, MD, chief digital and technology officer at Hospital for Special Surgery (HSS), an academic medical center in New York that focuses on musculoskeletal health. Both technologies have helped improve access to health care by removing geographical barriers, he says, but they’ve failed to replicate the quality of in-person care or win trust from patients. 

Agentic AI is different from these existing technologies, he insists. 

Rather than relying on manual inputs or defaulting to human workers for any case that sits slightly outside a rigid framework, AI agents can handle nuanced, complex scenarios. They can make autonomous decisions, retrieve information from expert clinical sources, and iterate over time, freeing clinicians to focus on higher-level patient care. As Dr. Barad puts it: “Agentic AI takes your workflow and collapses it, augments it, supercharges it, and makes it more performant.” 

At HSS, AI agents have already been deployed in multiple areas. They handle complex backend processes, such as insurance claims that previously took several weeks to complete and involved both HSS staff and a third-party contractor to handle the volume. Now, says Dr. Barad, AI agents complete 1,100 claims per month. They’ve reduced the appeals stage from 45 minutes to five and improved the success rate of those appeals from 65% to 100% in the nine months since implementation. HSS now handles all claims in-house. 

Building on that success, HSS is now deploying AI agents in non-clinical patient-facing settings with an AI scheduling and triage service, as part of a collaboration with enterprise agentic AI developer Ema Unlimited. The service is accessible 24/7 via web, text, or phone. It uses conversational AI to ask patients clarifying questions about their condition and then books appointments with the most appropriate clinician, factoring in location, insurance coverage, and physician availability. “It completes the whole loop,” says Dr. Barad. The AI agent is trained on “all of our context, all of our rules, and all of our knowledge base,” he adds, providing patients with streamlined access to highly specialist knowledge from world-leading surgeons.

Given the high-stakes decisions delegated to AI agents, the triage service has built-in safeguards—sensitive, complex, or uncertain scenarios are escalated to human specialists. Every decision made by the AI agent is auditable and human staff can step in at any point. Patient data is kept secure and the system is trained on all HSS protocols, policies, and care pathways. By keeping humans in the loop, Ema says its technology strikes the balance between efficient automation, patient-first safety, and human-informed decision making. 

As the technology becomes more prolific, it will be incumbent on providers to ensure they have these sorts of guardrails embedded into systems, says Dr. Barad. At HSS all decisions around the technology are filtered through an AI subcommittee that Dr. Barad co-chairs alongside a senior nursing executive. AI agents that may touch on patient care will be scrutinized with far more rigor than, say, backend processes, he explains.

AI agents prompt systems-level change

For example, Dr. Barad has plans to create a dedicated AI lab at the HSS main campus in New York City—a move that aims to democratize access to the technology across the organization. It will be open to all staff looking to understand or build AI agents, he explains, with informative classes and one-on-one training. “We’re getting agentic AI into everybody’s hands,” he says. This echoes research by Deloitte, which found that leading agentic AI adopters in health care were far more likely to have opted for multiagent solutions, redesigning end-to-end workflows rather than sticking to narrow solutions or individual use cases.

The key, it appears, is to integrate AI agents across the entire enterprise, treating them as a general-purpose technology. As Dr. Barad puts it: “It’s wrong to think of agentic AI in use cases… It’s a general-purpose technology, analogous to electricity.”

In practice, this means health-care providers need to set the right foundation to achieve value with agentic AI. This includes creating a unified data strategy, one that integrates fragmented data sources across an organization to create a single, comprehensive source of truth. In health care, data is often split across multiple departments and providers, each with their own legacy IT system.

In systems that rely on fragmented data sources, metrics often lack standardized definitions too. For example, Dr. Barad says that each hospital he’s worked in has had a slightly different definition for “time to start surgery,” a metric commonly used to gauge operating room efficiency. This level of fragmentation impedes AI agents from retrieving information from different sources or applications and assimilating the tacit knowledge that differentiates them from other technologies.

By creating greater interoperability of data at HSS, patient-facing AI agents can draw from a patient’s clinical care history and existing recommendations from their clinician, combine this information with current symptoms, and decide whether a situation requires escalation before notifying the correct specialist and informing the patient. 

Building better outcomes

For Dr. Barad, the potential for AI agents to overhaul health care and alleviate the current pressures on resources, access, and patient care is huge. 

He envisions a future in which 90% of non-clinical health-care tasks could be administered by AI agents, freeing clinicians up for what he calls white-glove work, meaning the most complex, specialized, and sensitive cases.

Most health-care providers seem equally optimistic. According to research by KPMG, 84% of providers are already comfortable handing decision making about specific processes over to AI agents.

“We’re spending so much time on keyboards and computers right now that we’re actually not doing what we should be doing,” says Dr. Barad. “This is going to rehumanize health care.”

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

How small businesses can leverage AI

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here.

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to handle these tasks, but small businesses don’t always have this luxury.

That’s where AI comes in. Today’s AI models do a decent job at these tasks. The trick for small businesses is to understand where AI is good enough and where it’s not.

One place where a “good enough” AI can already be quite valuable to small business owners is in providing secretarial skills and handling basic administrative matters. Let’s take a look at how one private tutor is using it to improve his recordkeeping and free up his time.

Case study

Sam Finnegan-Dehn works in fundraising for a charity, but he moonlights as a math and philosophy tutor for university students from his home in London. Through this part-time business, he can leverage his degrees in philosophy and share his love of the subject with clients.

But meeting with students is only a fraction of the work it takes to be a good tutor. He also plans lessons and finds fresh reading materials, creates assignments, sends invoices, and keeps up with new research—all on top of his regular job. Given these demands, Finnegan-Dehn doesn’t have as much time as he’d like to grow his tutoring roster.

So he’s turned to AI for some help in managing the day-to-day aspects of his business. He says AI has taken on a secretarial role across all of his digital notebooks, where he jots down reminders about his clients’ progress and new readings to keep himself up-to-date. He describes using AI as kind of like having a second memory that helps him connect ideas he’s written down in various places.

While he has experimented with different tools like Claude and ChatGPT, he’s now landed on Notion AI because it integrates better with his tutoring notes, which live across his notebook tabs in the Notion app. Finnegan-Dehn doesn’t use AI to create teaching materials, but he does let Notion AI record meetings with his clients (after getting their consent), and then uses its automated summaries to refine his teaching strategy. For example, if he notices from the AI’s summary that it seems like a certain technique was not helping a student, he may change how he approaches the subject next time.

Beyond this, Notion AI also helps him with goal-setting, drafting lesson notes, invoicing, and generating and syncing social media posts. For goal-setting, for example, Finnegan-Dehn says he understands his long-term goals for his business but not always the concrete steps to build to them. He uses AI to help fill in these gaps. He starts by writing down a “North Star” goal—say, to have a certain number of clients by the end of the year. Next, he asks his AI to generate the steps that he needs to take to get there, given the profile he has built up in the app. Then, he can reflect on the results and choose which tasks to tackle first.

The tool

Notion has been a big player in note-taking software for many years. Its AI add-on, released in late 2023, now has tools that enable it to interact with many other online productivity platforms. There’s an email client, calendar integrations, and a newly released agent. And while this level of access has raised privacy concerns, it can also make for a pretty powerful virtual assistant.

Many of the tasks targeted by Notion AI are less creative and more rote: syncing information across documents or searching through old scribbles, for example. This makes the tool especially appealing to small business owners, who have limited bandwidth, particularly for menial work.

Other companies are developing tools targeted at specific industries. For example, Grandma’s Quilt Shop in Yuma, Arizona, uses Rain, which has a software suite tailored to craft companies, to generate inventory descriptions and pricing for its stock of fabric designs. The owners claim this AI tool cuts the time it takes to list items by 60 to 80%.

There are drawbacks, though, as Finnegan-Dehn described some of Notion AI’s idiosyncrasies as “clunky” at times. And the AI add-on for Notion costs $20 per month. As with all new tools, small business owners should carefully assess how the potential gains and headaches measure up against the cost of just doing the job themselves.

User tips

Consider these points when thinking about whether AI might be able to help you run a business, or make any part of your work life just a little bit easier. 

  • Look before you leap. Since LLMs feed on the data you input to answer your queries or complete tasks, you want to give them information in a way that’s convenient for you and for the model. For many of these notebook AI services, this means, for example, using their platform for notetaking so you don’t have to input or upload notes later. Because of this, it’s a good idea to weigh your options carefully before committing to an AI-powered ecosystem.
  • Work to your strengths. Think about what skills you lack in-house, and see if AI can either help with training or take these tasks on for you. Just be aware: AI hallucinates and makes mistakes, so think about where accuracy is needed and keep humans in charge there.
  • AI isn’t always the best tool. It’s okay to use something off the shelf when that’s the better choice. It’s going to be safer, for example, to use existing payment processing platforms like Shopify or Square than to vibe-code one using AI.
  • Consider using local models for any sensitive information. Our reporting has covered the risks that online AI models have in leaking sensitive data, and there have been many reports about how AI companies collect your data when you ask their chatbots questions. Even if your business doesn’t handle personal information, there can still be some things you’d prefer not to share publicly. In these cases, using an open-source model that makes inferences on your prompts locally can be a great option, instead of ChatGPT or Claude or other proprietary models. Thankfully, some LLMs can now be run off of laptops and small desktops. Here’s how to set one up and start using it.

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