Actividades asistenciales

CaliPPer: quantifying, predicting and improving AI model performance for binding prediction

- Binding prediction models accelerate therapeutic antibody and TCR discovery, but their performance on new datasets is unpredictable, often leading to low discovery rates. Density-ratio methods (PAPE,...

Adjoint-based Perfusion Estimation from Dynamic Contrast-Enhanced Ultrasound: Advection-Diffusion and Two-Compartment Models

- Tumor perfusion and vascular properties are important determinants of a cancer's response to therapy. In this paper, we discuss the estimation of spatially varying blood flow velocities and...

Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation

- Aim: Existing AI-assisted traditional Chinese medicine diagnostic tools suffer from opaque reasoning processes, passive interaction, and limited treatment plan presentation. Thisstudy proposes a...

Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support

- Mental health struggles wax and wane, yet clinical and wellness interventions typically operate separately, causing frequent breakdowns at care transitions. We explore reinforcement learning (RL) as...

From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video

- Joint contact forces govern implant longevity, cartilage health, and rehabilitation outcomes, shaping who develops osteoarthritis, who recovers well from joint replacement, and who benefits from...

Collaborative estimation and evaluation of SARS-CoV-2 variant nowcasting in the United States

- The ability to estimate and predict pathogen variant dynamics can inform public health responses, including planning for increased transmission or severity, shifts in population immunity, or changes...

Scientists sound the alarm as dangerous amoebas spread globally

06/06/2026 - Scientists warn that free-living amoebae may be an underappreciated public health threat, capable of causing deadly infections and shielding other dangerous microbes from water treatment. Climate...

An accurate nucleic acid-small molecule docking framework via geometric deep learning with large-scale pretraining

- Nucleic acids are increasingly recognized as therapeutic targets beyond conventional protein-centered drug discovery, yet accurate and efficient docking of small molecules to nucleic acid structures...

Deterring Searches for Child Sexual Abuse Material on Google Search and Promoting Help-Seeking

- Google Search deploys a "Onebox" feature at the top of the results page when users conduct searches for Child Sexual Abuse Material. This study evaluates the impact of a strategic shift in...

Towards World Models in Biomedical Research

- A central goal of biomedicine is to understand, predict and ultimately control the dynamic mechanisms by which biological systems respond to perturbations, disease progression and therapeutic...

Leveraging External Controls for Treatment Switching in Randomized Controlled Trials: A Weighted Causal Inference Framework for Overall Survival

- In many oncology clinical trials where overall survival is a key endpoint, patients are permitted to switch from the control arm to the experimental treatment arm or other suitable therapies....

SpliceBind: Isoform-Aware Prediction of Binding Pocket Druggability

- Splice-mediated drug resistance occurs in up to 40% of patients on targeted kinase inhibitors, yet state-of-the-art druggability tools operate on single structures and cannot compare across isoforms....

StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-contrast CT

- Ischemic stroke is a major global disease. Treatment decisions are highly time-sensitive, as eligibility for reperfusion therapies relies on the interval between stroke onset and intervention....

Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction

- Cancer care requires a longitudinal approach in which treatments are planned and delivered over time according to the needs of each individual patient. While prior research has thoroughly explored...

When Clients Stop Following: A Cognitive Conceptualization Diagram-driven Framework for Strategic Counseling

- Large Language Models (LLMs) show promise in psychological counseling, yet existing benchmarks rely heavily on highly cooperative simulated clients. We observe a critical counselor-following...

Improving Longitudinal Targeted Maximum Likelihood Estimation in Target Trial Emulation using Joint Calibrated Weights

- In target trial emulation (TTE), marginal structural models (MSMs) can be used to characterise per-protocol treatment effects over time. The MSM parameters are often estimated by inverse probability...

Optimal Treatment Policy Estimation for Recurrent Events with a Competing Terminal Event: An Instrumented Difference-in-Differences Approach

- Learning reproducible and generalizable optimal treatment policies for chronic diseases requires large, representative populations with long-term follow-up. Administrative health data provide a...

DMT-CBT: Longitudinal Therapeutic State Modeling for CBT Counseling

- Large language models (LLMs) have shown growing potential for Cognitive Behavioral Therapy (CBT) counseling. However, most existing approaches still formulate counseling as a local response...

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator

- Randomized experiments (or A/B tests) are widely used to evaluate interventions in dynamic systems such as recommendation platforms, marketplaces, and digital health. In these settings, interventions...

A single protein may be holding back CAR T cancer therapy

02/06/2026 - A newly identified protein may be one of the biggest obstacles holding CAR T-cell therapy back. Researchers found that NFIL3 causes these engineered immune cells to become exhausted and lose their...

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data

- Estimating the causal effect of time-varying treatments on survival outcomes in large observational studies is computationally demanding, particularly when outcomes are rare. While g-formula-based...