Actividades asistenciales

OPENPATH: A Supervisor--Specialist Agent System for Personalized, Accessible, and Multi-stop Urban Trip Planning

- Urban trip-planning systems are commonly optimized for travel time and cost, but they offer limited support for the heterogeneous needs that real travelers bring, such as personalized preferences,...

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,...

Moodie: An Early-Stage Design Exploration for Supporting Fear of Missing Out with LLM-based Chatbots

- The excessive use of social media has led to the challenge known as Fear of Missing Out (FoMO). Existing studies fail to provide accessible, interactive tools that focus on the emotional and...

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...

Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters

- Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive, and behavioral functions, where accurate characterization of disease progression remains...

Accelerating Reproducible Research in Synthetic EHR Generation

- The generation of high-fidelity synthetic Electronic Health Records (EHR) is crucial for advancing medical research while preserving patient privacy. However, head-to-head comparison of existing...

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...

What Is My Robot Thinking? Design Considerations for Transparent and Trustworthy Shared Autonomy

- Assistive robots operating under shared autonomy must balance user control with autonomous assistance. Because robot actions depend on internal intent inference that is not directly observable,...

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

- Retrieval-augmented generation (RAG) successfully grounds large language model (LLM) outputs in trusted documents, but factual grounding alone is insufficient for sensitive peer-support health...

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...

MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection

- Myocardial substrate abnormalities, such as myocardial scar and myocardial infarction (MI), are associated with adverse cardiovascular outcomes. Electrocardiography (ECG) provides a low-cost and...

Comparing Sentiment Contagion in AI-Agent and Human Social Networks: Evidence from MOLTBOOK

- AI agents are beginning to interact not only with people, but also with one another. We investigate what happens to sentiment in such an AI-only social network: does negativity spread, or do replies...

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...

MalTree: Tracing Malware Evolution from Embeddings at Scale

- Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware families can inform...

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...

ARUTMIN’S CSR FOOTPRINT IN THE SDGS: PROMOTING INCLUSIVE HEALTH IN THE KINTAP MINING AREA

Exploring the interplay between systemic immune–inflammatory response, nutritional patterns, and metabolic health in MAFLD

Diabetes mellitus and health-related quality of life in long-term survivors of breast, colorectal or prostate cancer: a population-based prospective study

The supplements older adults actually need and the ones they don't

06/06/2026 - Supplements are often marketed as shortcuts to better health, but for many older adults, the real issue is whether they have a specific deficiency. Vitamins like B12 and D can play an important role...

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...

TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness

- Missing data imputation in large-scale surveys faces two challenges that are not well handled by current tabular diffusion methods. First, \emph{structural skips}, cells made inapplicable by...