Actividades asistenciales

Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications

- In this paper, we develop a novel logic-based approach to detecting high-level temporally extended events from timestamped data and background knowledge. Our framework employs logical rules to...

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms

- In the treatment of complex diseases, treatment regimens using a single drug often yield limited efficacy and can lead to drug resistance. In contrast, combination drug therapies can significantly...

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

- Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are...

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

- At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-recorded video libraries...

Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records

- We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can identify patients at high probability of glaucoma using only systemic electronic health records...

ADAR2 induces the differentiation of osteosarcoma cells by editing activity on IGFBP7: new implications for therapy

Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders

- Building trustworthy AI systems for mental health support is a shared priority across stakeholders from multiple disciplines. However, "trustworthy" remains loosely defined and inconsistently...

Frictionless Love: Associations Between AI Companion Roles and Behavioral Addiction

- AI companion chatbots increasingly shape how people seek social and emotional connection, sometimes substituting for relationships with romantic partners, friends, teachers, or even therapists. When...

Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization

- Drug repurposing is often framed as a candidate identification task, but existing approaches provide limited guidance for distinguishing biologically plausible candidates from historically...

Multicentre gene therapy for OTOF-related deafness followed up to 2.5 years

22/04/2026

Arachidonate lipoxygenase 5 metabolism axis promoting ferroptosis: a potential druggable target for doxorubicin-induced cardiomyopathy

- Background Doxorubicin (Dox) is a widely-used anthracycline drug for various cancers, but its clinical application is limited due to cardiotoxicity. Targeting ferroptosis is a new and effective...

Using targeted therapy to promote a pro-inflammatory tumour microenvironment and anti-tumour immune response in high grade serous ovarian cancer

Age-Dependent Heterogeneity in the Association Between Physical Activity and Mental Distress: A Causal Machine Learning Analysis of 3.2 Million U.S. Adults

- Physical activity (PA) is widely recognized as protective against mental distress, yet whether this benefit varies systematically across population subgroups remains poorly understood. Using pooled...

A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies

- Standard practice in electronic health record (EHR)-based studies evaluating the comparative effectiveness of bariatric surgery relative to no surgery is to estimate and report a constant treatment...

Stable Transport Meta-Analysis for Heterogeneous Cardiovascular Trials: A Nuisance-Anchor Framework with a Sign-Stability Diagnostic

- Random-effects meta-analysis summarizes heterogeneous trials by estimating an average effect over the observed evidence base, which may not represent the clinically relevant target population. In...

Personalized CRISPR therapies could soon reach thousands — here’s how

21/04/2026

Two common drugs may reverse fatty liver disease, study finds

22/04/2026 - Scientists have discovered that combining two existing drugs can dramatically reduce liver fat linked to a common and often silent disease. The treatment not only improved liver health in animal...

Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics

- The most common cause of dementia is Alzheimer disease, a progressive neurodegenerative disorder affecting older adults that gradually impairs memory, cognition, and behavior. It is characterized by...

An Integrated Deep-Learning Framework for Peptide-Protein Interaction Prediction and Target-Conditioned Peptide Generation with ConGA-PePPI and TC-PepGen

- Motivation: Peptide-protein interactions (PepPIs) are central to cellular regulation and peptide therapeutics, but experimental characterization remains too slow for large-scale screening. Existing...

Continuous Focus Groups: A Longitudinal Method for Clinical HRI in Autism Care

- Qualitative methods are important to use alongside quantitative methods to improve Human-Robot Interaction (HRI), yet they are often applied in static or one-off formats that cannot capture how...

LLM-Extracted Covariates for Clinical Causal Inference: Rethinking Integration Strategies

- Causal inference from electronic health records (EHR) is fundamentally limited by unmeasured confounding: critical clinical states such as frailty, goals of care, and mental status are documented in...