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Orthogonal machine learning for conditional odds and risk ratios

- Conditional effects are commonly used measures for understanding how treatment effects vary across different groups, and are often used to target treatments/interventions to groups who benefit most....

Postmortem avatars in grief therapy: Prospects, ethics, and governance

- Postmortem avatars (PMAs) -- AI systems that simulate a deceased person by being fine-tuned on data they generated or that was generated about them -- have attracted growing scholarly attention, yet...

AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning

- Accurate prediction of antibody-antigen binding affinity is fundamental to therapeutic design, yet remains constrained by severe label sparsity and the complexity of antigenic variations. In this...

PepBenchmark: A Standardized Benchmark for Peptide Machine Learning

- Peptide therapeutics are widely regarded as the "third generation" of drugs, yet progress in peptide Machine Learning (ML) are hindered by the absence of standardized benchmarks. Here we...

DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings

- Dermatologic diseases impose a large and growing global burden, affecting billions and substantially reducing quality of life. While modern therapies can rapidly control acute symptoms, long-term...

Talking to a Human as an Attitudinal Barrier: A Mixed Methods Evaluation of Stigma, Access, and the Appeal of AI Mental Health Support

- Background: Many people who could benefit from therapy do not receive it. Conversational AI is increasingly used for mental health support, yet it is unclear which barriers AI helps mitigate. We...

LETGAMES: An LLM-Powered Gamified Approach to Cognitive Training for Patients with Cognitive Impairment

- The application of games as a therapeutic tool for cognitive training is beneficial for patients with cognitive impairments. However, effective game design for individual patient is...

Adaptive tuning of Hamiltonian Monte Carlo methods

- With the recently increased interest in probabilistic models, the efficiency of an underlying sampler becomes a crucial consideration. Hamiltonian Monte Carlo (HMC) is one popular option for models...

Evaluating the impact of longitudinal treatment strategies in the presence of informative monitoring and time-dependent confounding

- Routinely collected data from electronic health records (EHR) provide opportunities to study effects of longitudinal treatment strategies in real-world clinical settings. A challenge presented by EHR...

Efficacy of stem cell boost (SCB) for chimeric antigen receptor-T cell therapy (CAR-T)-related hematologic toxicity in patients with relapsed/refractory multiple myeloma (RRMM)—real world experience from the US multiple myeloma immunotherapy consortium

- Prolonged cytopenias are a well-recognized complication following CAR-T therapy. Autologous SCB offers a potential strategy to promote fast hematologic recovery. We conducted a retrospective...

Men and women with obesity face very different hidden health risks

13/04/2026 - New research reveals that obesity affects men and women in surprisingly different ways. Men are more likely to develop harmful abdominal fat and signs of liver stress, while women show higher...

Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design

- Generative models can now propose thousands of \emph{de novo} antibody sequences, yet translating these designs into viable therapeutics remains constrained by the cost of biophysical...

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

- Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria....

Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS)

- Glioma is a harmful brain tumor that requires early detection to ensure better health results. Early detection of this tumor is key for effective treatment and requires an automated segmentation...

A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers

- Clustering mixed-type data remains a major challenge in biomedical research to uncover clinically meaningful subgroups within heterogeneous patient populations. Most existing clustering methods...

Computationally Efficient Estimation of Localized Treatment Effects for Multi-Level, Multi-Component Interventions to Address the Opioid Crisis

- The opioid epidemic remains a major public health challenge in the United States, requiring a multi-pronged intervention approach to mitigate harms to communities. Given the heterogeneity of the...

Spatial control of genome editing activity enables localized immunotherapy

13/04/2026 - Precise control of genome editing activity in vivo remains a major barrier to the clinical translation of CRISPR-based therapeutics, as current approaches cannot reliably restrict editing activity to...

Forget daily pills. This shot works when blood pressure meds fail

13/04/2026 - A twice-yearly injection may soon change how high blood pressure is treated. In a global trial, patients receiving the experimental drug zilebesiran alongside standard therapy saw greater blood...

A common nutrient could supercharge cancer treatment

10/04/2026 - A common eye-health nutrient, zeaxanthin, may also help the body fight cancer more effectively. Scientists discovered it strengthens T cells and enhances the impact of immunotherapy treatments. Found...

Scientists say we’ve been treating Alzheimer’s all wrong

10/04/2026 - Alzheimer’s isn’t just one problem—it’s a tangled mix of biology, aging, and overall health. That’s why drugs targeting a single factor have fallen short, even as new treatments show modest...

Can Vision Language Models Judge Action Quality? An Empirical Evaluation

- Action Quality Assessment (AQA) has broad applications in physical therapy, sports coaching, and competitive judging. Although Vision Language Models (VLMs) hold considerable promise for AQA, their...