Tag: Academic research

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CAR T-Cell Therapy Expands Access to Kidney Transplants 

CAR T-cell therapy has enabled two patients who had been waiting for years for a kidney transplantation to find a match. Published today in the New England Journal of Medicine, preliminary results from a Phase I clinical trial show that CAR T therapy can significantly increase the chances of a match for people whose immune system would otherwise reject over 99% of kidneys available for transplant. 

“This is the first demonstration that CAR T cells can be used not only to treat cancer, but also to help patients who previously had no opportunity to receive a compatible donor kidney,” said Ali Naji, MD, PhD, professor of surgery at the University of Pennsylvania and principal investigator of the study. “For patients who have spent years on the kidney transplant waiting list, this approach could be transformative.”

More than 91,000 people in the U.S. are currently waiting for a kidney transplant. Physicians assess each patient’s likelihood of finding a compatible donor using the calculated panel reactive antibody (cPRA) score, which measures how broadly the immune system is primed to attack foreign tissues. For instance, a cPRA score of 90% means the patient is expected to reject 90% of kidneys available for transplant, leaving only a small pool of potential matches available to them. 

The ongoing CTOT-46 clinical trial is recruiting kidney transplant candidates with a cPRA score of 99.5% or higher who have been waiting for a kidney transplant for at least one year. Although the study will continue until up to 20 highly sensitized candidates have been recruited, preliminary results from the first two patients enrolled show promise for this innovative approach. 

Both participants were treated with a dual CAR T therapy designed to remove the immune cells responsible for making antibodies that lead to organ rejection after a kidney transplant. The CAR T cells are engineered to target the CD19 and BCMA proteins, leading to the depletion of memory B cells and antibody-producing plasma cells, respectively. This strategy significantly reduced the levels of circulating antibodies produced by these cells, enabling both patients to receive kidneys from donors that would have previously been incompatible.

One of the patients had been diagnosed with focal glomerulosclerosis at age 14, leading to kidney failure at a young age. His cPRA score had reached nearly 100% after his immune system rejected a second kidney transplant, making a third transplantation next to impossible. After years of waiting for an extremely unlikely match, the CAR T cells lowered his antibody levels enough to find a match within months.

Importantly, the depletion of immune cells was temporary, and the population of B cells and plasma cells returned to normal levels over time. Neither of the patients has shown signs of organ rejection or antibody rebound months after transplantation. Additionally, no cases of severe cytokine release syndrome or neurotoxicity were reported—two common complications of CAR T-cell therapy.

“In this early trial, the CAR T-cell treatment was tolerated well, with no severe side effects, and the immune system began to recover as expected,” said Robert Montgomery, MD, PhD, chair of the department of surgery at NYU Grossman School of Medicine and director of the NYU Langone Transplant Institute. “This early success reflects what cell therapy can do for transplant medicine and opens up new options for patients that could save thousands more lives every year.”

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Genetically Raised Pulse Pressure Predisposes to Dementia-Linked Death

People who carry a higher number of genetic variants for increased pulse pressure may be at increased risk of having dementia as a contributing factor in their deaths, research suggests.

The findings, in Neurology, point to shared genetics underpinning cardiometabolic disease and dementia.

Although it is known that cardiometabolic conditions such as high blood pressure, diabetes, and stroke are associated with the neurodegenerative disease, it has been unclear how genetic predictors for the former influence the latter.

Pulse pressure is the difference between systolic and diastolic pressure and a higher number is indicative of poorer cardiac health, such as hardened arteries or poor heart function.

“While having the APOE ɛ4 allele, a gene variant, is the strongest common genetic risk factor for Alzheimer’s disease, some people may inherit a combination of small effect gene variants linked to cardiometabolic disease that may also increase the risk,” explained researcher Laura Raffield, PhD, from the University of North Carolina at Chapel Hill.

“Our study found an association with genetic variants linked to high pulse pressure and an increased risk of death from dementia.”

Late-life dementia is strongly inherited, with genetics responsible for around 60% to 80% of Alzheimer’s disease.

While the APOE ɛ4 allele is a well-known genetic risk factor for Alzheimer’s disease, other common genetic variants have been implicated and there may also be vascular contributions.

The study investigated how polygenic risk scores for cardiometabolic disease related to dementia-related outcomes among more than 8000 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

The authors note that REGARDS has particularly high numbers of Black participants, who are underrepresented in late-life dementia research, and eight in 10 in the current study identified as non-Hispanic Black.

Study participants had a mean age of 63.7 years at the start of the study and underwent screening for cognitive function annually. They were followed for up to 14 years for risk of death from dementia and nine years for cognitive impairment, on average.

A total of 619 people developed cognitive impairment during this time compared with 7159 with no such impairment. The 459 individuals who had dementia listed as a cause of death were compared with 8362 who died from other causes or for whom the reason was missing.

A higher polygenic risk score for pulse pressure was associated with a 16% increased risk of dementia as a contributing cause of death, after accounting for potential confounding factors.

This statistically significant result was not seen in polygenic risk scores for systolic or diastolic blood pressure, potentially supporting earlier research indicating that pulse pressure is a better predictor of coronary heart disease.

The polygenic risk score for pulse pressure was not associated with incident cognitive impairment, suggesting limited shared genetics between this dementia-related outcomes.

Overall, there were significant or nominal associations in polygenic risk scores for triglycerides, pulse pressure, type 2 diabetes and both the endpoint of Alzheimer’s disease and related dementias and also dementia as a contributing cause of death. However, this was not the case with incident cognitive impairment.

In addition, the results confirmed that the APOE variant was a predictor of both dementia as a contributing cause of death and incident cognitive impairment, and that local African ancestry was associated with nominally attenuated effect size.

The authors concluded that the inconsistent results between incident cognitive impairment and dementia as a contributing cause of death “imply that different dementia-related end points may capture distinct biological pathways.”

They elaborated: “For example, genetic risk factors of [cardiometabolic diseases] may be more strongly related to later disease progression, such as amyloid accumulation throughout later life, rather than to early cognitive impairment.”

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User Acceptance of Remote Care Assist, a Telecare System for Home Care Among Care and Nursing Staff: Cross-Sectional Pilot Study

Background: Demographic and epidemiological changes are increasing pressure on health and long-term care systems, underscoring the need for digital innovations. Remote Care Assist is a digital system that enables home care staff to connect with care experts for exchange and support via real-time video calls. Although technology acceptance is crucial for successful implementation, little is known about how care staff’s expected benefits for care recipients influence acceptance in professional home care. Objective: This study examined predictors of user acceptance of the Remote Care Assist among home care staff, with a particular focus on the role of staff’s expectations of benefits for home care service users. Methods: Technology acceptance data were collected from staff in home care organizations in Austria and Luxembourg. Among 337 survey respondents, 139 participants who reported using Remote Care Assist at least once per month over a period of 5-6.5 months were included in the acceptance analysis (45 care experts and 94 on-site care staff). Partial least squares structural equation modeling was used to test a contextualized technology acceptance model. Results: Technology acceptance was measured by “Behavioral Intention to Use” the Remote Care Assist. “Behavioral Intention to Use” was positively associated with “Expected Benefit for Home Care Service Users” (EBC; =0.506, 95% CI 0.364 to 0.658; <.001), “Perceived Usefulness (PU)” for care staff (=0.314, 95% CI 0.151 to 0.460; <.001), and “Perceived Ease of Use” (PEOU; =0.130, 95% CI 0.038 to 0.231; =.01). “EBC” (=0.415, 95% CI 0.276 to 0.537; <.001), “Perceived Efficiency” (=0.396, 95% CI 0.267 to 0.531; <.001), and “PEOU” (=0.170, 95% CI 0.083 to 0.266; =.001) were positively associated with “PU” for care staff. “PU” also positively mediated the associations of “EBC” (=0.130, 95% CI 0.061 to 0.194; =.001) and “PEOU” (=0.053, 95% CI 0.017 to 0.101; =.02) with “Behavioral Intention to Use.” “Reliable Functionality” was not significantly associated with “PU.” Conclusions: This study suggests that the technology acceptance of a digital system for enhancing professional exchange between different staff groups in home care is shaped not only by established predictors of acceptance, such as PU and PEOU, but also by a currently neglected predictor, namely care staff’s expectations that the technology will benefit home care service users, which plays an important role in technology acceptance. In addition to usability and workflow support, successful implementation strategies for digital technologies should clearly communicate the technology’s potential benefits for care staff, care service users, and the broader care ecosystem.
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Wearable Sensor–Derived Gait Parameters Across Self-Reported Physical Activity Levels in Individuals With Knee Osteoarthritis and Healthy Controls: Pilot Cross-Sectional Validation Study

Background: Wearable inertial measurement units (IMUs) offer scalable, objective gait assessment, but detailed stride-level validation against motion capture and their ability to reflect physical activity (PA)–related gait differences in knee osteoarthritis (KOA) remain incompletely characterized. Objective: This study aimed to evaluate the technical validity of foot-mounted IMU–derived gait parameters compared with optical motion capture in individuals with KOA and healthy controls. As a secondary exploratory aim, we assessed whether IMU-derived gait parameters differed across self-reported PA levels. Methods: In this pilot cross-sectional validation study, 20 participants (KOA: n=10, 50%; healthy controls: n=10, 50%) completed 3 standardized walking conditions (self-paced, fast-paced, and endurance-equivalent). IMU-derived gait parameters were compared with motion capture at the stride level (≥5000 strides) using Pearson correlation, intraclass correlation coefficients (ICCs), mean absolute error, root mean square error, and Bland-Altman analysis. Participants completed the Stanford Brief Activity Survey to categorize PA level. Secondary analyses emphasized effect sizes and 95% CIs given the pilot design. Feasibility was assessed by protocol completion, data completeness, and tolerability. Results: IMU-derived gait speed demonstrated strong agreement with motion capture (=0.99; ICC=0.98, 95% CI 0.95‐0.99; mean absolute error=0.07 m/s; bias=0.01 m/s; 95% limits of agreement −0.14 to 0.16 m/s). Stride length and cadence showed similarly high agreement (ICC range 0.96‐0.97). All participants completed the protocol with minimal adverse events. Exploratory analyses suggested that participants reporting higher PA demonstrated directionally faster gait speed and longer stride length, with small-to-moderate effect sizes, whereas inactive participants exhibited higher stance-related rhythm parameters. Conclusions: Foot-mounted IMUs demonstrated strong stride-level agreement with motion capture across walking conditions, supporting technical validity in both KOA and healthy populations. Exploratory findings suggest that wearable-derived gait parameters may reflect activity-related differences; however, larger longitudinal studies are required to confirm these preliminary signals.
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Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study

This study evaluates the dynamic clinical reasoning of 4 leading large language models in complex nephrology cases, demonstrating that while Gemini 2.5 Pro achieved the highest reasoning scores and computational efficiency, all tested models excelled at static data synthesis but shared vulnerabilities in formulating nuanced differential diagnoses and in prospective clinical planning.
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Engineered Islets Could Eliminate Need for Immunosuppression in Type 1 Diabetes

Researchers at the University of Missouri School of Medicine have developed a method to transplant insulin-producing islets for type 1 diabetes (T1D) treatment that illuminate the need for immunosuppressive drugs. The approach, details of which are published in JCI Insight, uses ex vivo engineering of donor islets with immune-regulating molecules that reduce both innate and adaptive immune rejection after transplantation. By adding thrombomodulin (TM) and CD47 to the surface of islets, the team created a localized immune-modulating barrier that allowed transplanted cells to survive and function while still responding to glucose and producing insulin.

“Immunosuppressant medications affect and weaken the whole body, so we instead focused on how we could improve our delivery of the transplanted islets,” said study senior author Haval Shirwan, PhD, a professor of molecular microbiology and immunology at University of Missouri. “We provided islets with a protective shield consisting of two molecules that help the transplants evade rejection from the immune system, a solution that lengthens the survival of islet cells with minimal side effects.”

To create the islets, the researchers used a surface-engineering approach known as a ProtEx platform. Islets were biotinylated and then coated with streptavidin-fused immune ligands (SA-TM and SA-CD47), allowing transient display of immune-regulating proteins without genetic modification. The purpose of this design was to reduce early inflammatory injury and block immune cell activation signals that normally lead to graft destruction following transplantation.

To discover whether these engineered cells reduced immune response, the cells were testing in allogenic mouse models. The data showed that in eight of the 11 mice tested the grafts survived from 120 to 330 days without resulting immunosuppression. By comparison unmodified islets were rejected quickly in the mouse models with survival time averaging 12 days.

The team also showed that islets engineered with only one of the molecules had limited benefit, while islets with both TM and CD47 produced the strongest effect. In recipients receiving modified islets, normal blood glucose levels were achieved in more than 72% of the mice, and the grafts maintained glucose-responsive insulin secretion.

The inclusion of two different molecules on the islets served different purposes. TM was used to reduce early inflammatory and coagulation-driven damage that occurs immediately after transplantation, while CD47 signaled to immune cells to inhibit phagocytosis and dampen adaptive immune activation.

“The double-engineered islets generated a localized tolerogenic immune environment characterized by low frequencies of inflammatory innate immune cells and increased frequencies of M2 macrophages, myeloid-derived suppressor cells, and CD4+FoxP3+ T regulatory cells,” the researchers wrote.

This new approach builds on the team’s prior work which showed that single-molecule engineering of islets with either CD47 or TM could partially improve graft survival. Earlier studies demonstrated that CD47 signaling reduced immune cell–mediated killing and that TM reduced early inflammatory injury linked to coagulation and cytokine release.

Importantly, the researchers noted that the engineering process does not impair islet function, viability, or metabolic activity, which can frequently happen as a result of cell engineering. Because the proteins are displayed transiently on the islet surface rather than permanently encoded, the methods does not produce long-term genetic alteration but still reshapes early immune responses during transplantation.

The researchers said that additional work now needs to evaluate the safety and effectiveness of these cells in humans and to determine whether the approach can reduce or eliminate the need for multiple donor islet sources, which are needed in current approaches due to early immune loss. The study also suggests that the modular nature of the platform could allow additional immune-regulating molecules to be added to further improve outcomes or tailor responses in different patients.

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Human Hookworm Engineered to Produce, Secrete Anti-Tetrodotoxin Antibody Into Preclinical Host Bloodstream

Hookworms, intestinal parasites that infect hundreds of millions of people in under-resourced tropical regions around the globe, have evolved to survive inside the human gut for years, secreting molecules that enable co-existence with their hosts. Now, researchers at Washington University School of Medicine in St. Louis have harnessed that biological mechanism for potential human benefit, engineering a human hookworm parasite, Ancylostoma ceylanicum, to produce and deliver a drug within a living host.

Headed by Makedonka Mitreva, PhD, the Gordon R. Miller Professor in the John T. Milliken Department of Medicine’s Division of Infectious Diseases at WashU Medicine, the investigators report what they say is the first successful genetic modification of the human hookworm, which they engineered to produce an antibody that neutralizes tetrodotoxin (TTX), a deadly neurotoxin produced by pufferfish and other marine animals. The team’s preclinical study demonstrated that the modified hookworms colonized an animal host, and secreted the antitoxin into the host bloodstream, partially inactivating the toxin. They say the findings demonstrate that this drug production and delivery approach could potentially offer a long-term solution for multiple indications, including continuous treatment for chronic conditions, or for exposure to toxins in remote settings.

“The hookworm has spent millions of years perfecting how to assure long-term survival inside a human host and how to get molecules out of its body and into ours,” said Mitreva. “We asked: What if we could add one more molecule to the roughly 1,000 things the worm already secretes, something therapeutically useful to people? This study shows that’s not just a concept. It works.”

Mitreva and colleagues reported on their study in Nature Communications, in a paper titled “Transgenic hookworm secretes anti-tetrodotoxin human single chain antibody.” In their paper the team concluded that their achievement, “… represents a critical step towards the development of a transgenic human hookworm pharmaceutical biofactory platform with the potential to continuously, safely, and effectively deliver biologics in situ within patients.”

“Hookworms have evolved to survive for years within the human host while minimally disrupting host homeostasis, and controlled human infections with hookworms are safe and well-tolerated in clinical settings, bolstering their potential for utility as pharmaceutical biofactories,” the authors wrote.

Hookworms have already been studied as treatments for inflammatory bowel diseases such as ulcerative colitis, based on evidence that the anti-inflammatory molecules the worms secrete can dampen the immune responses that drive those conditions. Mitreva’s team set out to build on that foundation by engineering the worm to secrete a therapeutic of the researchers’ choosing, rather than relying solely on what the parasite produces naturally.

The appeal of hookworms as a long-term drug production and delivery platform stems from a quirk of their biology. When a person is infected with a controlled number of hookworm larvae, which can be administered orally as a pill or through the skin like a lotion, the worms migrate to the small intestine and take up residence, often for years. Because they cannot multiply inside the host, the number of worms stays fixed, and the infection remains controlled. If the infection ever needs to be cleared, a single dose of an oral anti-parasitic drug eliminates the hookworms within 24 hours.

To adapt hookworms for therapeutic use, Mitreva and her team drew on more than two decades of hookworm genomics research conducted at WashU Medicine. This depth of data helped them understand the organism’s biology from the cellular to the genetic level, allowing them to locate a viable site in the genome to insert the new gene carrying instructions for making the new antitoxin. The antibody selected for the team’s reported proof-of-concept study neutralizes tetrodotoxin, a paralyzing and potentially lethal toxin with no antidote.

The project presented significant technical hurdles: gene-editing tools that work in other organisms had not been adapted for hookworms, and no one had previously achieved stable genetic modification in the species. Critically, they had to ensure the insertion wouldn’t disrupt surrounding gene activity and would prompt the worm to secrete the antitoxin out into the host.

The team reported that blood collected from hamsters infected with the genetically modified hookworms partially neutralized tetrodotoxin, whereas blood from animals infected with unmodified worms had no neutralizing capability. Mitreva noted that the level of neutralization achieved in this initial study, while significant, likely represents only a fraction of what the platform can ultimately deliver. They wrote in summary “Here, we report on methodological, technical, and conceptual advances, demonstrating successful bioengineering of a human hookworm, Ancylostoma ceylanicum, to produce and secrete a human single-chain antibody, s16-HuScFv, that neutralizes tetrodotoxin (TTX).”

Several components of what she calls a “configurable chassis” are still being optimized to increase the amount of therapeutic protein produced and secreted. Because the worm resides in the gut and a substantial portion of what it secretes remains there, rather than entering the bloodstream, the researchers expect that concentrations of therapeutic molecules in the intestine may be substantially higher than what was detected in circulation in this study, making the platform suitable for gut-directed therapies.

In their paper the team wrote, “Building on the foundation that experimental human hookworm infection has been shown to be safe and well tolerated, here we present technological, methodological, and conceptual advances that have enabled the establishment of a genetically modified and tractable model system that can produce and deliver biologics … Taken together, this transgenic human hookworm platform highlights a promising approach in biotechnology that has the potential to significantly advance how we conceptualize disease treatment and prevention. Technologically, it also constitutes a notable advance in functional genomics for hookworms and helminths more broadly.”

Mitreva added, “What we demonstrated here is that the concept works end to end—you can insert a gene, the worm produces the protein, the protein gets out of the worm, and it is functionally active in the host. From that starting point, we can optimize the platform and think carefully about which diseases stand to benefit most from a delivery system that is continuous, targeted and long-lasting. That’s a fundamentally different kind of pharmaceutical biofactory platform, and we think it opens possibilities that are very hard to achieve with any other platform.”

Gut inflammatory diseases, including Crohn’s disease and ulcerative colitis, and food allergies are among the conditions Mitreva sees as strong candidates for future development. Diseases requiring small but sustained therapeutic concentrations, where compliance with repeated injections or infusions is a barrier, may also be well-suited to the platform. “Given the availability of controlled human infections, our disease-agnostic bioengineered hookworm platform offers a next-generation approach to address a suite of chronic human diseases, and with a single-dose administration, could potentially produce and deliver biologic medicines within the human host for years,” the authors wrote.

Although natural hookworm infection may cause only mild digestive symptoms in healthy adults, chronic infection with large numbers of hookworms can be dangerous for children, pregnant people and malnourished or otherwise vulnerable individuals. Infection can lead to anemia, poor growth and development, pregnancy complications and, in extreme untreated cases, heart problems or death.

This underscores the importance of keeping the infection strictly controlled for therapeutic use, Mitreva noted, which is possible because of the worms’ inability to reproduce without spending part of their life cycle in soil. “… as research progresses, it will be essential to ensure that these transgenic organisms do not have unintended ecological or human health impacts, maintaining a balance between innovation and safety,” the authors stated.

Mitreva noted that biocontainment strategies, such as engineering the worms to be unable to produce eggs, are under consideration to protect hosts and their environments as the platform advances. “Future studies can also address biocontainment of the genetically modified organism (GMO) by engineering suicide genes and/or inducible promoters into the transgene,” the team suggested.

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Small Molecules to Big Partnership: Incyte, Genesis Expand AI Collaboration to $1B+

Drug collaborations don’t always work out as planned. Sometimes they work out better.

When Incyte agreed last year to partner with artificial intelligence (AI) platform developer Genesis Molecular AI to research, discover, and develop at least two small molecule treatments, they designed a collaboration that would generate at least up to $620 million for Genesis, whose foundation models for molecular AI are designed to power agentic drug design and development.

The companies now say they made enough progress over the past 15 months to expand their AI-based drug collaboration to encompass at least five targets—with a potential payoff for Genesis that has ballooned to over $1 billion.

Behind that expansion, Incyte and Genesis say, is the promise shown so far by the two initial targets, both selected by Incyte as called for in the initial strategic collaboration. One is a “very hard-to-drug, novel target” for which the companies worked to create novel, first-in-class chemical matter, while the other is a target that other companies have sought to make druggable without success, Pablo J. Cagnoni, MD, Incyte’s president and global head of R&D, told GEN.

“Novel targets create problems for obvious reasons. You don’t have any chemical matter that you know to start with. The collaboration with Genesis has jump-started that program significantly,” Cagnoni said of the first target. “You need a crystal structure, you need to know which particular site in the target you need to bind, and then you need to start making chemical substance against it.”

“It’s easy to make chemical matter, it’s really hard to make medicines—so that was the optimization step that Genesis really helped us do,” Cagnoni added.

The second target, he explained, required not only high potency and very high selectivity, but unique pharmaceutical and pharmacokinetic properties. The companies were able to incorporate those and other properties for the target with help from Genesis’s generative and predictive AI platform, Genesis Exploration of Molecular Space (GEMS).

GEMS integrates AI and physics into models designed to generate and optimize drug molecules. GEMS’ generative diffusion model for structure prediction, Pearl—short for “Placing Every Atom in the Right Location”—was unveiled in an October 26 preprint showing it to have surpassed AlphaFold 3 and other open source baseline models on the public protein-ligand co-folding benchmark Runs N’ Poses (14.5% improvement) and the docking and molecular generation benchmark PoseBusters (14.2% improvement).

‘Substantial progress’

“By being able to optimize multiple parameters at the same time with the help of the GEMS platform and our colleagues at Genesis, we were able to really make substantial progress that was eluding us with other technology,” Cagnoni said. “The collaboration with Genesis has allowed us to make significant progress on the path to an IND. We’re not quite there, but we’re getting pretty close to that.”

The two targets, he said, represented opposite ends of the drug discovery spectrum: “For one, we had something that started to look like a drug but wasn’t good enough. For the other one, we had a great target and no drugs. So, taking a view of those two ends of the spectrum, convinced me that we had to expand this, make it as broad as possible, and that’s why we put in place a new collaboration.”

As with their initial collaboration, the companies aren’t yet revealing the targets or therapeutic areas in which they are working, though Cagnoni said they fall within one of Incyte’s three current therapeutic areas of interest: hematology, oncology, and inflammation and autoimmunity, a narrower niche within the traditional I&I (inflammation and immunology) focus area.

Through the expanded collaboration, Incyte will use its proprietary experimental data to train Genesis’ GEMS platform, with the aim of accelerating drug development across multiple programs.

Options beyond five targets

Incyte will select at least five new targets to develop with Genesis, with options to nominate additional collaboration targets over time. Incyte will have exclusive rights to develop and commercialize treatments developed through the collaboration.

“We know what properties a priori we need to optimize for, always with some caveats,” Feinberg said. “We almost always know that we need to achieve potency, selectivity, a wide variety of ADME [absorption, distribution, metabolism, and excretion] properties. Usually, in a given program, something like 30 or so different ADME assays are routinely run to some degree of frequency. This can often feel like playing whack-a-mole, instead of the serious engineering task of multi-parameter optimization.”

“Our aim,” he added, “is to render the drug discovery process as much like the latter and as little like the former.”

Incyte has agreed to pay Genesis $120 million upfront—to consist of $80 million cash and a $40 million purchase of Genesis’ equity—and unspecified recurring research funding to support AI model training and inference computing. Incyte has also agreed to pay genesis up to $232 million in payments per target, tied to achieving preclinical and clinical development, regulatory, and sales milestones.

The collaboration is the second AI-focused partnership announced by Incyte in late May. A day before the Genesis expansion announcement, Incyte said it had launched a separate strategic collaboration with Edison Scientific to employ its Kosmos AI platform for discovery and development work—namely enabling continuous learning from translational and clinical data, real-time synthesis of evidence and predictive models of therapeutic performance.

Incyte and Edison disclosed the focus of their initial project: “high-impact” use cases in target discovery and validation and translational biology, where Edison’s AI capabilities will be embedded within Incyte’s research workflows. The companies said they aim to support more efficient exploration of experimental, clinical, and biomarker data with the potential to expand across Incyte’s broader R&D organization.

As for Incyte’s collaboration with Genesis, if Genesis achieves all milestones across the five initial targets of the expanded partnership, including multiple indications and major territories, Incyte will pay the company more than $1 billion—as long as the aggregate peak annual net sales of the five products exceed specified milestones. Payments could grow to “several” billion dollars depending on how many additional collaboration targets are nominated, and how many milestones are achieved.

Genesis is also eligible to receive royalties on sales of any approved collaboration products.

Stanford spinout

Genesis spun out in 2019 from the Stanford University lab of Vijay Pande, PhD, co-founder and managing partner of the venture capital firm VZVC and a former general partner at Andreessen Horowitz (a16z) and founding general partner of its bio funds. Feinberg was a graduate student in Pande’s lab who co-invented and co-authored key peer-reviewed papers detailing deep learning technologies.

In 2020, Genesis won a $52 million Series A financing. The company has grown since then to raise $340 million, most of that consisting of $200 million Series B financing completed three years later, plus the $40 million strategic investment Incyte made in Genesis equity as part of the companies’ expanded partnership.

In addition to a16z, Genesis’ investors have included NVentures, the venture capital arm of AI chip giant Nvidia, which has expanded in recent years into biopharma among other industries.

Incyte is the fourth and latest biopharma giant to partner with Genesis on an AI-focused drug discovery and development collaboration applying GEMS. Genesis garnered $35 million upfront in launching its partnership with Gilead Sciences in 2024, and earlier announced past collaborations with Eli Lilly and Genentech, a Member of the Roche Group.

“Our mission at Genesis is to create AI technologies that enable creating drugs that otherwise would not be possible,” Evan Feinberg, PhD, Genesis’ founder and CEO, told GEN. “And thanks to working with really, really elite drug discovery teams, like what Incyte has, we’re able to work on a wide spectrum of very important problems in drug discovery.”

That work, he asserted, requires discerning the uniqueness of each potential target.

“Every target is really its own special snowflake in some way. Every drug target really entails its own challenges, oftentimes requires its own special approach,” Feinberg said. “Over the past year, we were able to work on two very different programs, that each have their own challenges, and thereby enable us to adapt and deploy our GEMS AI platform in these very different settings, bringing one of those two targets much closer to IND, and for the other target finding the first-in-class chemical matter, which was a very exciting year of work.

“Now we’re excited to address the challenges ahead with this, expanded partnership together,” Feniberg added.

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Feasibility of Technology-Assisted Lifestyle Self-Monitoring in Older Adults With Type 2 Diabetes: Mixed Methods Pilot Study

Background: Type 2 diabetes is a major public health concern in older adults. Healthy lifestyles, such as physical activity and healthy eating, are effective strategies for diabetes self-management. Increasing evidence shows that health technologies can promote healthy lifestyles for diabetes management. However, limited research has evaluated their use among older adults with type 2 diabetes. Objective: This study evaluated the feasibility and preliminary health outcomes of technology-assisted lifestyle monitoring for diabetes management in older adults with type 2 diabetes. The study also examined participants’ experiences to identify barriers and facilitators to sustained technology-assisted lifestyle modification. Methods: This 12-week pilot study used a pretest and posttest design. Feasibility was assessed by recruitment, retention, and adherence to device-based self-monitoring, including the percentage of days with tracked steps (PDWTs) and the percentage of days with food logs (PDWFLs). Fitbit fitness trackers paired with smartphone apps were used to track physical activity and food intake in 15 overweight/obese older adults with type 2 diabetes (mean age 70.5, SD 4.8 y). Self-monitoring behaviors were tracked throughout the study. Baseline and 12-week health outcomes (eg, hemoglobin A [HbA] and physical function) were compared using paired 2-tailed tests or Wilcoxon signed rank tests, as appropriate; effect sizes were calculated using Cohen . Associations between self-monitoring data (PDWTs, average daily steps, PDWFL) and health outcomes were examined using Pearson or Spearman correlations. Semistructured interviews were conducted at the study completion, and thematic analysis was used to analyze qualitative data. Results: The target sample (n=15) was successfully enrolled over 6 months, with 100% retention at 12 weeks. Feasibility was supported by consistent use of wearable devices for self-monitoring of physical activity, although dietary logging adherence varied. HbA decreased from baseline to 12 weeks (effect size −0.49, 95% CI –1.15 to –0.04; =.04), and PDWFL was inversely correlated with HbA (=−0.53; =.04) at follow-up. The qualitative findings indicated that barriers and facilitators to technology-assisted lifestyle self-monitoring and diabetes management through lifestyle modifications exist across multiple levels, including the individual, interpersonal, organizational or community, and societal levels in older adults with type 2 diabetes. Factors at one level interacted with those at other levels. For example, limited technological proficiency challenged lifestyle tracking, while interpersonal and organizational support helped mitigate barriers. Conclusions: Technology-assisted self-monitoring of lifestyle behaviors was feasible in this sample of older adults with type 2 diabetes and was associated with favorable signals in glycemic control. While causal inferences cannot be drawn from this single-arm pilot study, observed within-subject changes and behavioral-clinical correlations support further evaluation of technology-assisted lifestyle self-monitoring. The findings also highlight the importance of addressing interconnected factors at multiple levels, tailored to older adults’ unique needs and capacities in diabetes self-management.
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Implementation of an e-Tool (the Provider Asthma Assessment Form) Integrated Into the Electronic Medical Record in Primary Care: Mixed Methods Survey of Perceived Utility, Practitioner Satisfaction, Barriers and Enablers

Background: Asthma care gaps between best practice and clinical practice contribute to the burden of asthma on individuals and society. Electronic medical records (EMRs) provide a unique opportunity to integrate novel e-tools at the point of care. Objective: The purpose of this study was to evaluate the perceived utility, health care practitioner satisfaction, and barriers and enablers associated with the implementation of the Provider Asthma Assessment Form (PAAF), a novel e-tool integrated into the primary care EMR. Methods: Health care practitioners (n=80) at a family health team were invited by email to participate in a voluntary survey regarding their use of the PAAF in their role within the family health team. Respondents who had used the PAAF were asked to assess its perceived utility, their satisfaction with it, and any associated barriers and enablers. Responses were analyzed using descriptive quantitative analysis and qualitative analysis to identify major themes. Results: In total, 18 responses were included, including 4 (22.2%) from practitioners who had used the form and 12 (66.7%) from practitioners who had not. Overall, most practitioners who used the form were satisfied with the PAAF and reported that it was helpful in clinical practice, aided decision-making, and was user-friendly. Enablers such as detailed documentation, decision support, and multidisciplinary involvement were identified. Several barriers were also identified, including time constraints, lack of knowledge and training regarding the use of the form, limited opportunity to use it, and limited availability of necessary data elements to complete the PAAF. Conclusions: The PAAF was perceived to be a useful and largely satisfactory e-tool by responding practitioners. However, several barriers limited user uptake and sustained use. Future directions for PAAF implementation include increased tailoring to the needs of primary care teams and leveraging technological advancements. Lessons learned from the PAAF can inform the development and implementation of novel e-tools in primary care EMRs.
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