Screening the Digital Skills of Patients in Geriatric Rehabilitation: Multicenter Cross-Sectional Study

<strong>Background:</strong> Digitalization in geriatric rehabilitation presents unique challenges, making it essential to align eHealth solutions with patients’ digital skills. The Quickscan Digital Skills (QDS) is a tool designed to help health care professionals match eHealth interventions to individual skill levels. <strong>Objective:</strong> This study aimed to explore the applicability of QDS by comparing it to self-reported digital skills and to gain insight into the digital skills of patients in geriatric rehabilitation. <strong>Methods:</strong> In this multicenter cross-sectional study, participants from 13 geriatric rehabilitation centers in the Netherlands completed a survey, including demographic questions, QDS, and a numeric rating scale (NRS) for self-reported digital skills. Participants were categorized into 3 skill levels (beginner, intermediate, and experienced) based on the cutoff points in QDS scores. Cutoff points were predetermined, guided by the information provided on QDS. Descriptive statistics for median age and frequencies for skill levels were calculated. Comparative analysis using a Kruskal-Wallis test assessed differences between QDS and NRS within these groups, and Spearman rank-order correlation examined the relationship between the two measures. To gain more insight into the different skill levels between groups, data were visualized and associations among age, gender, and digital skill levels were examined using ordinal logistic regression analysis. <strong>Results:</strong> A total of 463 patients (median age 78, IQR 12 years; 282/463, 60.9% female) participated in this study. Based on QDS scores, 42.1% (195/463) were classified as beginners, 19.4% (90/463) as intermediates, and 38.4% (178/463) as experienced users. A moderate positive correlation was found between QDS and NRS scores. Digital skills generally declined with age: 69.8% (37/53) of participants younger than 65 years were experienced users compared to only 13.2% (5/38) of those older than 91 years. A logistic regression analysis showed that increasing age was significantly associated with lower digital skill levels (odds ratio 0.93, 95% CI 0.92-0.95; <i>P</i>&lt;.001). The association between age and digital skills does not differ between males and females. <strong>Conclusions:</strong> This study suggests that QDS is a promising and practical screening tool for assessing digital skills in patients in geriatric rehabilitation. Self-reported digital skills with an NRS do not capture the differentiation in the assessed abilities by QDS. QDS could be a practical tool for identifying digital skill levels in patients in geriatric rehabilitation and can support more personalized eHealth implementation. Further research should explore the parametric properties of QDS and how the scores relate to actual eHealth use.

Orchestrating the Development of a Sustainable Network IT Solution for a Research Network: Qualitative Participatory Multimethod Design

Background: Practice-based research networks (PBRNs) rely on sustainable and interoperable IT infrastructures to support coordination, data management, and long-term collaboration across geographically distributed primary care practices. Large federated initiatives, such as the German DESAM-ForNet (Initiative of German Practice-Based Research Networks) program, face substantial sociotechnical challenges, as diverse user groups, heterogeneous local systems, and multiple governance levels must align around shared digital solutions. Objective: The aim of this study was to design and evaluate a participatory, consensus-driven process for developing a sustainable and interoperable IT solution that supports the coordination of multiple regional PBRNs, and to identify the sociotechnical factors that influence how such a process unfolds. Methods: A qualitative participatory multimethod design combined an iterative consensus-based IT development process in a central working group, interdisciplinary domain-driven design workshops (N=40 stakeholders from 6 PBRNs), and qualitative content analysis of internal documents (2020‐2025). Members of the IT working group were nominated by networks based on IT responsibility and strategic involvement; workshop participants represented general practitioners, study nurses, researchers, and coordinators. Documents (meeting minutes, workshop artifacts, and decision logs) were coded inductively by 2 authors to trace sociotechnical dynamics and decision trajectories. Results: The analysis revealed pronounced differences in IT ambitions, resources, and established practices across the 6 PBRNs (ranging from 2 to 90 person-months), which resulted in divergent expectations and uneven readiness for joint development. This heterogeneity—spanning objectives from simple REDCap (Research Electronic Data Capture; Vanderbilt University) databases to comprehensive digitization strategies—necessitated network-specific bounded contexts within a federated architecture. Through iterative development, stakeholders reached consensus on 6 core use cases (base data management, screening or recruitment processes, study or event participation tracking, management of event participation, accreditation procedures, and standardized communication or data exchange) and 2 national proofs-of-concept: quarterly key performance indicator reporting and pseudonymized practice queries based on a shared core dataset. This collaborative process culminated in a 3-tier practice relationship management infrastructure that integrates local autonomy with central metadata management and connectors to the Medical Informatics Initiative and REDCap, and was endorsed by the steering committee as a scalable compromise balancing interoperability and data sovereignty. Conclusions: The study shows that developing a national, interoperable IT infrastructure for PBRNs depends as much on social and organizational alignment as it does on technical solutions. Iterative participatory collaboration, transparent governance, and early stakeholder engagement were essential for building shared understanding and trust. Strengthening these relational and organizational elements will be crucial for sustaining future implementation efforts and fully realizing the potential of federated data infrastructures in primary care research.
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Additive and Multiplicative Effects of Socially Stigmatized Identities Using Linear Regression to Model Effects on Self-Reported Overall Health as Reported in the All of Us Research Program: Quantitative Analysis

Background: Individuals with one or more socially stigmatized identities experience extensive health disparities, resulting in poorer health outcomes. However, most studies consider the effects of only individual stigmatized identities. Objective: We aimed to quantitatively estimate the additive and multiplicative effects of stigmatized identities on self-reported overall health. Methods: We used survey data from 387,411 participants in the All of Us Research Program, which has assembled a disease-agnostic cohort intended to reflect the US population, to statistically estimate the first- and second-order effects of 47 stigmatized identities on self-reported overall health. We used a linear model to estimate the effects of individual and pairwise stigmas on self-ratings of overall health. Results: We began by aiming to create cohorts for all 93 stigmatized identities previously found to affect health, of which 47 (51%) could be practicably examined. We first modeled individual stigmas alone to contrast the results with those that included both individual and pairwise stigmas. After using the false discovery rate to adjust for testing multiple hypotheses in the collective model, 29 individual and 116 pairs of stigmas had statistically significant effects on self-reported overall health. All significant individual effects were negative or neutral except for skin cancer. Those with the largest negative effect on self-rated overall health were difficulty walking or climbing stairs, unemployed or unable to work, difficulty with errands, and low educational attainment. Pairs of intersecting stigmas had a mix of negative and positive incremental effects, indicating that some stigmatized identities are negative modifiers, such as depression, and other combinations are less negative than the sum of their individual negative effects, such as having difficulty with multiple types of activities of daily living. The individual stigmas with the largest number of statistically significant stigma pairs were unemployed or unable to work (14/47, 30%); depression and low income (11/47 each, 24%); and difficulty walking or climbing stairs, cognitive difficulties, obesity, and skin cancer (8/47 each, 17%). Conclusions: Taken together, numerous pairs of stigmatized identities significantly affect self-reported overall health. While each stigmatization has both direct and indirect effects on health, the relative importance of direct and indirect effects will vary. Many of these are aligned with prior literature, and others warrant further exploration. While the large sample size of this study is a strength, we were unable to model higher-order intersectionality and encourage future research exploring this. The individual and pairwise identities with significant negative effects should be incorporated into research and clinical care by considering the multidimensionality of individuals and how that affects their overall health.
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AGBT 2026 Recap: NGS Big Bets and Spatial’s Rising Momentum

For most people, February in Florida means school breaks, water parks, and trips to Disney. But for the genomics community, that combination means the season of big announcements as the Advances in Genome Biology and Technology (AGBT) meeting—which has earned a reputation for breaking field-shaping news—takes place. The meeting is packed not only with technology announcements in the sponsor suites, but also with scientific talks in the sessions to showcase how the technology is being used to address new biological questions.

The first piece of news was the weather. Not in Orlando, although it was uncharacteristically cold. But for the nail-biting attendees traveling from the Northeast who were watching the prediction of inches of snow grow with each forecast. Those of us who bumped up our flights to beat the storm and make some of the last flights out of the Northeast were lucky enough to arrive in time for the opening session.

The meeting was, as usual, a constant stream of announcements and advancements. Some grumbled that the meeting was slower than usual, but that seems unfounded to this attendee. One NGS company launched two new instruments just two years after its first instrument; the very first 3D spatial instrument was launched commercially, while other spatial news showed a maturing of the field. Many attendees could not stop talking about some of the research presented—including the “bat talk” given by Emma Teeling, PhD, from the University College Dublin, during the opening session (which was officially named, “Bats: new models of extended healthspan and disease resistance”).

Also included in the opening session was an award presentation to Eric Green, MD, PhD, the former National Human Genome Research Institute (NHGRI) director. Green was sorely missed at last year’s 25th anniversary meeting because he (and many others working at the NHGRI and NIH) were not in attendance due to travel restrictions on government staff. A short time later, Green’s 15-year stint at the NHGRI was terminated, becoming the first of multiple NIH directors to be ousted by the Trump administration. But now, Green has completed his transition from government work to a new role as Illumina’s CMO. However, this transition also means that Green can no longer serve as a program committee co-chair for the AGBT General Meeting, which he has done for over 25 years, making the Distinguished Service Award a fitting end to his tenure. The meeting, Green noted on LinkedIn, has “always been about charting a course for the future.”

Sequencing steals the spotlight

Next Generation Sequencing (NGS) dominated the buzz at the meeting this year. Ultima Genomics made news just before the meeting started, revealing two new instruments: the UG 200 single-wafer and the UG 200 Ultra dual-wafer. Both boxes are less expensive and have higher throughput than the original iteration—the UG 100. Gilad Almogy, PhD, Ultima’s CEO, told GEN that the UG 200 series is more mature because it has been developed through “a ton of learning of how [the UG 100] performed in the field.” But it was a quick learning cycle, as the UG 100 was only launched in 2024.

In contrast, AGBT attendees had to wait patiently for the most anticipated news from the meeting: Roche filling in missing details about its sequencing by expansion (SBX) nanopore instrument, the Axelios. The company’s lunch talk was scheduled on the last day of the meeting, with many people rolling their luggage around in preparation to depart. Roche had already announced the cost of the Axelios instrument at $750,000, but the pricing for the consumables and the launch date remained unknown. Roche did offer some information, announcing a whole genome price of $150 (in duplex mode), a simplex price of $0.06 per million reads, and availability sometime this summer. A few new, notable discussion points were raised, including the length and complexity of the duplex sequencing library prep.

Illumina, the gold sponsor of the meeting, doubled down on its multiomics theme by presenting a complete multiomics workflow with a focus on the company’s longer read TruPath product. The kit, which uses an on-flow cell library preparation to obtain long-read insights, was first presented in 2024 as constellation mapped read technology. In short, the DNA spans multiple wells that are spaced under 100 nm apart. The DNA is fixed and then undergoes clustering and sequencing, connected throughout the DNA molecule. TruPath enables haplotyping, structural variant detection, and short tandem repeat analysis, which Steve Barnard, PhD, CTO of Illumina, said is “creating a new category of sequencing and giving the insights we need to diagnose patients.” The company emphasized TruPath’s ease of use during their talk by including a photo of Green using it at the bench and noting that it is so easy, even an executive can use it.

Element Biosciences did not wait until AGBT to reveal its latest innovation. The company announced its new high-throughput benchtop sequencing system, VITARI, in a webinar the week before the conference. The company noted that the instrument will begin shipping in the second half of 2026 and had a roadmap that included future multiomic capabilities.

In other industry news, Complete Genomics confirmed that it had entered into a definitive agreement to be acquired by Swiss Rockets AG, a Switzerland-based life sciences group. This move splits the company from Chinese ownership by MGI/BGI, and it will become a subsidiary of the Swiss life sciences group. Rade Drmanac, PhD, Complete’s co-founder and CSO, told GEN that this news allows the company to continue its focus on NGS instrumentation but also grow the focus into applications.

Expansion of spatial biology

Despite the wave of high-profile NGS announcements, spatial biology held its ground as a major focus at AGBT with updates reinforcing the technology’s maturity and expansion into new areas.

Vizgen announced updates on its MERSCOPE Ultra platform, including expanding its portfolio of predesigned panels and introducing a new customization capability. In addition, the company covered upcoming workflow innovations for upstream sample preparation and downstream bioinformatics. But perhaps the coolest update was the company’s work on organoids—a field where spatial analysis has proven challenging. Several characteristics of Vizgen’s platform are now enabling spatial analysis of organoids.

Singular Genomics’ new G4X Spatial Sequencer was on display in its suite, which the company launched the week before the meeting. At AGBT, the G4X platform was featured in a talk on SPOT-Met (Spatial Predictors of Tropism and Metastasis) by Jiwoon Park, PhD, from the lab of Christopher Mason, PhD, at Weill Cornell Medicine. SPOT-Met is a 1,000-tumor colorectal cancer program described as the largest colorectal cancer multimodal spatial initiative. “Population-scale spatial has arrived and is on center stage at AGBT 2026,” said Mason.

Attendees who visited the Stellaromics suite, which many did, judging from the activity, were encouraged to forget about 2D spatial and start thinking 3D. A Boston-based AGBT newcomer, Stellaromics is leading the 3D spatial wave with the launch of the first 3D commercially available spatial imager—the Pyxa. Although it may have been Stellaromics’ first time in Florida for the meeting, the company is led by genomics veteran Todd Dickinson, PhD (previously from Illumina, Bionano, Dovetail Genomics), who is no stranger to AGBT.

Last year, Bruker Spatial Biology established its place as a contender in the spatial world, just one year after the NanoString acquisition. This year, the company solidified its place as a leader by launching two products that it spoke about last year: CellScape (for spatial proteomics) and PaintScape (for visualization of the 3D genome). It also noted the mouse whole transcriptome for the CosMx Spatial Molecular Imager with 64 proteins. The technology was highlighted in multiple talks, including that of Miranda Orr, PhD, from Washington University, as she delved into the world of 3D reconstruction of neuropathology in the Alzheimer’s brain.

10x Genomics chocolate barAlthough 10x Genomics is typically a top-tier sponsor at AGBT, the company was relatively quiet this year. However, it still managed to create buzz by delivering chocolate bars to each attendee’s hotel room stamped with a date: 4/18/26. Mid-April falls at the beginning of the American Association for Cancer Research (AACR) meeting, leaving something to look forward to.

Multiomics and more

BD Biosciences (now Waters) made a strong presence in the single-cell multiomics space with a focus on multimodal cellular profiling using its Rhapsody System. The new roadmap for this system piqued interest. In addition, the new hire of spatial veteran Luciano Martelotto, PhD, as director of global market development (single cell), working in the suite from morning until night, helped highlight the company’s place at the meeting.

Newcomer Syndex Bio introduced its mcPCR (methyl-copying PCR) platform, which enables copying of both DNA and methylation during amplification. Codetta Bio’s Concerto multiomic system, which detects DNA, RNA, and protein biomarkers in a single run, became commercially available (after being introduced at AACR last year), and the company spoke about the upcoming launch of new customizable panels for immunology and neuroscience.

In other innovative technologies, Gary Schroth, PhD, CSO of Cellanome, presented the company’s CellCage technology for the first time, which can study cells to understand their history and collect transcriptome data over time. Schroth showed a video of glial cells phagocytosing bacteria, and measuring the functional changes with the cells’ gene expression changes. Volta Labs announced the expansion of the capabilities of its Callisto platform, collaborations with Roche and Watchmaker

Genomics, and unveiled a growing pipeline of applications rolling out through 2026.

And that is the real takeaway from AGBT: innovation does not stop when people fly home. All of these announcements, made over four days, are significant advances and the excitement is palpable. But the truth is, innovators in the genomics field continue to push the boundaries all year long. For those of us who are passionate about genomics, we will look forward to seeing what they’ll unveil next year.

The post AGBT 2026 Recap: NGS Big Bets and Spatial’s Rising Momentum appeared first on GEN – Genetic Engineering and Biotechnology News.

Growing Conductive Polymers Directly in the Brain

Interfacing biological tissues in the brain with electronic systems seems like science fiction, but developing effective strategies can aid in the treatment of neurodegenerative disorders, open opportunities for neurologically controlled prosthetics, or aid in modulating cardiovascular disease management, among other applications.

Creating devices with the ability to interface with biological systems is a unique challenge. Utilizing conductive polymers can improve biocompatibility over alternatives including metals and inorganic semiconductors. Pre-formed polymers implanted into organisms are not always well tolerated, so alternative techniques for polymer assembly in situ may offer a more effective and robust alternative.

Researchers at Purdue University, led by Jianguo Mei, PhD, are exploring how to form these conducting polymers from monomers applied directly to tissues. Their goal is to develop a system that is efficient and specifically integrated into the biological system, while limiting adverse effects, like inflammation or behavioral changes.

The team focused on a system to assemble n-doped poly(benzodifurandione) (n-PBDF) in vivo from injected monomers, using an organism’s native catalysts, specifically, the hemoproteins, which are abundant in the blood, to build the polymers.

Their research is published in a paper entitled, “Blood-catalyzed n-doped polymers for reversible optical neural control,” in Science.

“The development of n-type conducting polymers that assemble directly in vivo offers transformative, substrate-free strategy for stable electrical interfaces,” wrote the authors.

Using zebrafish and mice, the researchers tested both the safety and efficacy of injecting monomers that would polymerize into functional molecules. Zebrafish embryos injected in the yolk showed formation of the polymer, which was assessed through a color change in the yolk followed by molecular confirmation by spectroscopy analysis. The researchers found no behavioral changes or other developmental ill-effects and the embryos had an 80% survival rate one week after injection.

Mice injected with the monomers directly into the brain also showed polymerization of n-PBDF, with similar lack of negative response in physiology and behavior. They further showed that the polymer was functional within the tissues.

“The material formed stable deposits without signs of inflammation, neural cell loss, or changes in animal behavior,” the authors wrote. “Imaging and blood vessel assays supported its safety, whereas electrophysiological recordings revealed its effects: n-PBDF altered the activity of sodium and potassium channels, mechanisms critical for controlling neuronal firing.”

The researchers were also able to easily reverse the effect using two-photon near-infrared light stimulation. This allows for both localized application and controlled modification of neuronal behavior on a millisecond scale.

In a related Perspective, Maria Rosa Antognazza, PhD, and Guglielmo Lanzani, PhD, concur that this method holds promise for clinical applications. “Combining the approach with other mechanisms of neurostimulation—for example, by using magnetically responsive materials—may further broaden the clinical applicability and reduce the invasiveness.” However, they caution that more work must be done to explore other polymer structures, and test the technique in larger organisms, including humans.

This work shows the functional ability to polymerize n-PBDF in living organisms reversibly with long-term functionality, offering a promising path for alternative methods for connecting biosynthetics that are functional and robust, while reducing side effects. The authors concluded that, “This versatile, ultrasoft electrode, synthesized and actuated in situ, offers a new paradigm for minimally invasive bioelectronic interfaces.”

The post Growing Conductive Polymers Directly in the Brain appeared first on GEN – Genetic Engineering and Biotechnology News.

Combining Novel Dual HIF Inhibitors with Immunotherapy Erases Multiple Tumor Types in Mice

Researchers at Johns Hopkins University and the University of Maryland School of Pharmacy have developed a set of novel, first-in-class small molecule drugs that inhibit hypoxia-inducible factors 1 and 2 (HIF-1/2), a pair of transcription factors considered to be “master regulators” of cancer progression. Their study showed that these drugs can overcome resistance to immune checkpoint blockade therapy, and when combined with immunotherapy, can completely eliminate breast, colorectal, melanoma, and prostate tumors in mice, suggesting that they could eventually be used to treat a broad range of cancers in humans.

Research lead Gregg L. Semenza, MD, PhD, a professor at Johns Hopkins University School of Medicine, is co-senior author of the team’s published paper in Journal of Experimental Medicine, titled “Targeting conserved domains of hypoxia-inducible factors for cancer therapy.”

Hypoxia-inducible factors 1 and 2 are known as master regulators of cancer progression because they control the activity of hundreds of genes crucial for the survival, growth, and spread (metastasis) of cancer cells. HIF-1/2 levels rise in response to low oxygen levels (hypoxia), a condition commonly found in the center of rapidly growing tumors, the authors explained. “In response to hypoxia, cells in most metazoans activate a transcriptional pathway mediated by HIFs, which play a crucial role in adaptation to low O2 levels,” they wrote. “Many oncogene gain-of-function and tumor suppressor loss-of-function mutations increase HIF activity in an O2-independent manner.”

Computer-aided drug design using the SILCS technology identified three sites on HIF-2 that are highly similar in HIF-1 and HIF-2 and are suitable for targeting with small molecule inhibitors. [© 2026 Salman et al. Originally published in Journal of Experimental Medicine. https://doi.org/10.1084/jem.20251009]
Computer-aided drug design using the SILCS technology identified three sites on HIF-2 that are highly similar in HIF-1 and HIF-2 and are suitable for targeting with small molecule inhibitors. [© 2026 Salman et al. Originally published in Journal of Experimental Medicine]

Among other functions, HIF-1/2 promote the formation of new blood vessels to supply tumors with nutrients and enhance the ability of tumor cells to invade surrounding tissues. They also suppress the ability of immune cells to attack tumors, which limits the effectiveness of immunotherapies such as immune checkpoint inhibitors. “The limited therapeutic efficacy of ICB reflects multiple mechanisms by which cancer cells evade detection and killing by immune cells, and many of these are mediated by HIF-1/2 target gene products,” the scientists noted.

The presence of hypoxia, and elevated HIF-1/2 levels, is a key predictor of treatment failure and poor patient survival in a broad range of cancers. “The expression of HIF target genes and the expression of HIF-1α or HIF-2α protein in tumor biopsies are associated with patient mortality in many cancers, reflecting the role of HIFs in directing tumor vascularization, metabolic reprogramming, epithelial–mesenchymal transition, cell motility, extracellular matrix remodeling, cancer stem cell specification, immune evasion, invasion, metastasis, and treatment failure.”

Belzutifan, a specific inhibitor of HIF-2, has been approved for therapeutic use in several cancers, including advanced renal cell carcinoma. But, since HIF-1 and HIF-2 have distinct roles in promoting cancer progression, drugs that target both transcription factors simultaneously could be more effective. “Given the distinct roles of HIF-1 and HIF-2 in cancer progression, dual HIF-1/2 inhibition presents a promising therapeutic strategy, particularly for cancer types with a known propensity for intratumoral hypoxia and/or resistance to conventional therapy,” the team further noted.

“Dual HIF-1/2 inhibition presents a promising therapeutic strategy, particularly for cancer types with a known propensity for intratumoral hypoxia and/or resistance to conventional therapy,” Semenza added. For their newly reported study Semenza and colleagues worked with the group of Alexander D. MacKerell, PhD, at the Computer-Aided Drug Design Center at the University of Maryland School of Pharmacy, to identify drug molecules capable of binding to both HIF-1 and HIF-2. They used the computer-aided drug design technology site identification by ligand competitive saturation (SILCS) to predict small molecules that might bind based on the known crystal structure of HIF-2.

“The SILCS approach enabled the selection of compounds with a high probability of binding to HIF-2, allowing experimental efforts to focus on testing hundreds, rather than millions, of chemical compounds, thereby accelerating the drug discovery process,” MacKerell said.

Semenza’s team, including first author Shaima Salman, PhD, tested these candidate molecules and identified several compounds that bound to both HIF-1 and HIF-2, triggering their degradation and preventing them from activating their target genes. “Here, we describe small-molecule dual HIF-1/2 inhibitors (HIFi) that bind directly to the most highly conserved domains of HIF-1/2α, block dimerization with HIF-1β, and cause HIF-1/2α degradation,” they stated.  “These compounds showed broad and potent HIF inhibitor activity in a variety of cancer cell lines,” Salman said.

Treatment with a dual HIF-1/2 inhibitor (bottom) greatly reduces the size of blood vessels in a tumor compared to tumor tissue from a vehicle-treated mouse (top). [© 2026 Salman et al. Originally published in Journal of Experimental Medicine. https://doi.org/10.1084/jem.20251009]
Treatment with a dual HIF-1/2 inhibitor (bottom) greatly reduces the size of blood vessels in a tumor compared to tumor tissue from a vehicle-treated mouse (top). [© 2026 Salman et al. Originally published in Journal of Experimental Medicine]

Individually, the drugs were able to inhibit the growth of breast, colorectal, head and neck, melanoma, and prostate tumors in mice, reducing tumor vascularization and limiting tumor invasiveness. The drugs were even more effective in combination with the immune checkpoint inhibitors anti-CTLA-4 or anti-PD1. Combination therapy caused complete remission in over 50% of mice with either breast, colorectal, melanoma, or prostate tumors, many of which were resistant to treatment with immune checkpoint inhibitors alone. These animals remained tumor free, even when rechallenged with an injection of fresh tumor cells. “… dual HIF-1/2 inhibition has major effects on multiple critical aspects of cancer progression,” the team wrote in their discussion. “The powerful effects of HIFi on angiogenesis, immune evasion, and tissue invasion reflect the inhibition of hundreds of HIF-1/2 target genes in both cancer and stromal cells within the tumor.”

Semenza and colleagues found that dual HIF-1/2 inhibitors alter the type of immune cells found within tumors, decreasing immunosuppressive cell types while increasing the frequency of T cells and NK cells that are capable of killing tumor cells (especially when treated with immune checkpoint inhibitors).

“We saw an increased response to immune checkpoint inhibitors with HIF inhibitor treatment across a broad sampling of cancer types, suggesting that this combination will have widespread clinical utility,” Semenza commented.

Adding to the drugs’ therapeutic potential, the researchers note that their dual HIF-1/2 inhibitors can be administered orally and showed no safety concerns in mice, even when given for extended periods in amounts well above the effective dose. “The drugs are orally bioavailable, and no safety concerns were identified even after extended or supratherapeutic dosing,” they noted.

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Integration Over Elimination

Mike Garrett
Mike Garrett
CEO, Taconic Biosciences

FDA guidance encouraging reduced reliance on animal models in preclinical research reflects a well-intentioned push toward more ethical, human-relevant science. Central to this evolution is the growing adoption of new approach methodologies (NAMs), including organoids, microphysiological systems, and computational models. These technologies are already transforming early discovery, yet they are not designed to function in isolation.

Many critical questions, particularly those involving systemic exposure, immune interactions, and long-term safety, still require fully integrated biological systems that capture the complexities of drug efficacy or safety in patients.

Across the life sciences, researchers are deeply committed to responsible and compassionate research through the 3Rs of animal research: replacement, reduction, and refinement. One way to adhere to these principles is to optimize how animal models are selected and applied. This has also led to introspection on the concept of NAMs, which is continually being refined. While often associated with non-animal systems, NAMs are increasingly defined by function rather than format, emphasizing approaches that improve human relevance with refined models, reduce overall animal use, or replace less predictive legacy methods.

In this context, FDA guidance on NAMs emphasizes approaches that replace, reduce, or refine animal use, creating space for highly refined and fit-for-purpose in vivo models to align with NAM objectives when they demonstrably reduce animal numbers or replace more resource-intensive or less informative in vivo studies.

Rather than framing progress as a binary choice between animal and non-animal technologies, the field is moving toward a more integrated paradigm. Advanced genetically engineered models (GEMs) and humanized systems can be deployed alongside in vitro and in silico NAMs, each addressing distinct translational gaps. When used strategically, these complementary tools can reduce total animal use, improve reproducibility, and generate more predictive datasets that support confident regulatory decision-making.

The path forward lies in integration, not elimination. By combining next-generation non-animal technologies with advanced, fit-for-purpose in vivo models, scientists can accelerate development timelines and improve translatability while honoring the spirit and practical application of the 3Rs. This balanced approach currently offers the most credible route to safer, more successful therapies for patients.

For regulators, this integrated model selection paradigm supports a central objective of modern guidance: enabling flexible, science-based evidence packages that are proportionate to risk, fit for purpose, and grounded in biological relevance rather than adherence to any single methodological category.

The engine behind the breakthrough

The FDA approved a milestone HIV prevention therapy: Lenacapavir, a twice-a-year injectable that represents one of the most significant advances in HIV care in more than a decade. For those of us in drug development, it was a landmark clinical success as well as a reminder that thoughtful model selection can simultaneously advance innovation and reduce animal use.

Behind the headlines, the approval was enabled by developments in advanced in vivo modeling. A highly specialized genetically engineered rasH2 mouse model, designed specifically to accelerate carcinogenicity assessment, allowed researchers to shorten preclinical development timelines by approximately 1.5 years. By replacing lengthy, more resource-intensive two-year carcinogenicity studies with a targeted approach, the six-month rasH2 model reduced total animal use while delivering faster, decision-ready safety data.

Wins like this will become more common as the life sciences industry embraces integration over elimination. The most effective preclinical strategies increasingly pair non-animal NAMs, such as in silico models and organoids, with specialized translational animal models that address questions those systems cannot yet resolve independently. Together, they enable preclinical studies that are more reproducible, more efficient, and more predictive of human outcomes.

The most meaningful reductions in animal use come not from abandoning models wholesale, but from replacing legacy approaches with smarter, more precise models—whether in vitro, in silico or in vivo—that generate the data regulators need with fewer animals and greater confidence.

This approach aligns closely with the 3Rs framework by prioritizing replacement where possible, reduction through efficiency, and refinement through improved model design. Better models reduce attrition, conserve resources, and help deliver medicines to patients more efficiently.

Expanding translational reach

The rise of humanized immune system (HIS) mice offers another example of how refined animal models can complement NAM-driven pipelines. By engrafting human immune cells into immunodeficient mouse strains, these models enable the study of human immune responses, disease mechanisms, and therapeutic interventions within an integrated biological context that cannot yet be fully replicated ex vivo.

Advanced HIS mice have become indispensable in areas such as immuno-oncology, autoimmunity, and infectious disease. When paired with patient-derived xenografts, this combination allows researchers to interrogate human tumor-immune interactions directly and evaluate emerging modalities, including checkpoint inhibitors and cell-based therapies, with greater translational relevance.

By generating richer, more human-relevant data per study, these models can reduce the number of animals required while helping to mitigate the high attrition rates that continue to challenge clinical development.

This evolution reflects a broader truth: the future of drug discovery will not be defined by choosing between animal and non-animal technologies, but by integrating both into a smarter, evidence-driven preclinical ecosystem. Human-relevant animal models, such as refined GEMs and humanized systems, will continue to play a critical role alongside organoids, microphysiological systems, and AI-enabled modeling. Each contributes distinct strengths, and together they provide a more complete and trustworthy picture of human biology and disease, which gives researchers and regulators the confidence to move forward into clinical development.

The question is no longer whether animal models still have a place in modern drug development, but how they can be used more judiciously and responsibly. When integration guides decision-making, the result is a more efficient therapeutic pipeline, greater regulatory confidence, and meaningful progress toward the goals of the 3Rs. A win for science; a win for patients; and, ultimately, a win for animals.

 

Mike Garrett is the CEO of Taconic Biosciences.

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STAT+: Small drugmakers, facing threat of tariffs, negotiate pricing deals with White House

WASHINGTON — The Trump administration is negotiating new drug-pricing deals, now with smaller companies, according to three people with knowledge of the meetings, including a White House official.

The new talks offer a pathway for smaller pharmaceutical companies — those not included in the first round of deals — to pledge lower prices and potentially avoid tariffs or new pricing policies through Medicare.

The new negotiations suggest the administration is looking to replicate the strategy it used with larger drugmakers: extract voluntary, confidential agreements in pursuit of lower prices and more domestic manufacturing. They also offer smaller players in the sector, which have faced substantial uncertainty about how federal policies would affect them, the chance to cut a deal and gain more certainty about how they might be affected by federal policies. 

Continue to STAT+ to read the full story…

STAT+: Trump announces 100% tariffs on brand-name drugs, with plenty of carveouts

WASHINGTON — The Trump administration announced Thursday 100% tariffs on imported brand-name drugs — but with significant caveats.

Many large drugmakers won’t have to pay the tax because they’ve struck deals with the U.S. to build manufacturing facilities here and lower the prices of their medications. Drugmakers that haven’t struck those deals but pledge to bring production to the U.S. can have their tariffs reduced to 20% for the remainder of Trump’s term. 

The tariffs open a new front in the Trump administration’s efforts to rein in the pharmaceutical industry and in its push to bring manufacturing back to the U.S. The announcement comes as Trump has looked to emphasize his administration’s work to make prices — especially medicines — more affordable ahead of the midterms.

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Biotech investors’ plea to Trump, and a busy M&A week

How has the Food and Drug Administration’s recent decisions on rare disease drugs affected investment trends? Why is Eli Lilly getting into sleep medicine? And where did Allison go on her vacation?

We discuss all that and more on this week’s episode of “The Readout LOUD,” STAT’s weekly biotech podcast. Biotech investor Rod Wong joins us to talk about why an industry-patient coalition he’s part of sent a letter to President Trump asking for more regulatory flexibility at the FDA.

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