Actividades asistenciales

Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

- Federated learning has emerged as a potential solution to privacy concerns associated with using sensitive health data for training predictive models, particularly in personalised cancer care. This...

A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments

- We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health accounting for mobility. Typically, in environmental health...

Area-level context and functional brain organization across the lifespan

23/07/2026 - The neighborhoods children grow up in are associated with cognitive and mental health outcomes across the lifespan. Yet how neighborhood-level factors are quantified, and how they relate to...

Prior therapy defines mutation profiles in childhood cancer at relapse

22/07/2026

MechAInistic: An LLM-guided Multi-Agent System for Reasoning over Genome-Scale Constraint-Based Metabolic Models

- Constraint-based metabolic modeling is a powerful way to study the mechanistic basis of cellular states and disease, but its effective use demands substantial computational expertise and careful...

DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models

- Designing small molecule ligands that bind with high affinity to specific protein pockets is a fundamental goal in drug discovery, as small molecules constitute a major fraction of approved...

Subject-Conditioned Glucose Forecasting in Type-1 Diabetes

- Accurate forecasting of blood glucose concentration is key in the management of Type 1 Diabetes, facilitating early detection of adverse glycemic events and supporting timely therapeutic...

ABOPD: Antibody CDR Design via On-Policy Distillation

- Antibodies are essential therapeutic molecules, and their complementarity-determining regions (CDRs) form the primary antigen-recognition interface. Recent protein generative models have demonstrated...

Trajectory-Aware Clinical Risk Prediction via Severity-Grounded Knowledge Graphs and Retrieval-Augmented Generation

- While Electronic Health Records (EHRs) offer a wealth of clinical data, effectively augmenting a patient's records with heterogeneous external knowledge to predict the patient's clinical risk...

A Bayesian Approach to Causal Cure Models

- Time-to-event data often include individuals who will never experience the failure event, and are therefore considered cured. In such settings, frequently encountered in clinical research, a...

A prioritized medium-throughput screen identifies FGF4, FGF5, FGF8F, FGF19 and FGF21 as protective factors for human stem cell derived insulin secreting beta cells

21/07/2026 - Stem cell-derived β-like cells (SCβ cells) are a potential alternative to cadaveric β cells for replacement therapy in type 1 diabetes. However, SCβ cells face a multitude of stresses that must...

A Research Prototype for Closed-Loop Generative Design of Customized Foot Orthoses via Semantic-Physics Alignment

- Translating unstructured clinical prescriptions into patient-specific foot orthoses (FOs) is hindered by a semantic-physical misalignment: high-level clinical intent is not mapped deterministically...

Can Multimodal Large Language Models Understand OCT?

- Optical coherence tomography (OCT) imaging is essential for the diagnosis and treatment of retinal diseases. Although multimodal large language models (MLLMs) have demonstrated considerable potential...

Autonomous mechanistic discovery of colorectal cancer vulnerabilities via multi-scale AI swarms

- The acceleration of automated scientific discovery has been fundamentally bottlenecked by the epistemic gap between the semantic reasoning of large language models (LLMs) and the deterministic...

Design and Validation of a Lightweight 1D CNN for Affective Touch Classification in Soft Plush Companions

- Soft, sensorized companions offer a physically safe and emotionally intuitive interface for socially assistive technologies, yet their deformability and multichannel tactile sensing complicate the...

Privacy-preserving causal mediation analysis using distributed electronic health record networks

- Electronic health record (EHR) networks provide unprecedented opportunities to study treatment mechanisms at scale, but mediation analyses across institutions are often hindered by privacy and...

Optimizing Clinical Trial Protocols Using EHR-Derived Heterogeneous Treatment Effects

- Traditional randomized trials often obscure clinically meaningful heterogeneity in treatment response by focusing on average effects. Leveraging real-world data to emulate clinical trials and...

Neural Networks of Outcome Weighted Learning for Individualized Treatment Rules

- Individualized treatment rules (ITRs) formalize precision medicine by assigning treatments according to patient covariates, with the goal of maximizing expected clinical outcomes. Such rules are...

miR-10a-5p as a critical molecular regulator of dopaminergic impulsivity in the nucleus accumbens

21/07/2026 - Impulsive-compulsive disorders (ICDs), including pathological gambling, hypersexuality, and compulsive buying, are frequently precipitated by dopamine D2/3 receptor agonists such as pramipexole...

ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model

- In proton therapy planning, respiratory-gated non-contrast CT (NCCT) is commonly used for lesion segmentation; however, accurate delineation remains challenging due to low lesion-to-background...

Assessing Physical Frailty and Fall-Risk Indicators with Social Robots: An in situ Evaluation with Older Adults

- Frailty assessments are crucial to evaluate the risk of adverse events and the health and social care needs of older adults, yet their administration remains resource-intensive and typically relies...