Information Technology

HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs

Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models to integrate multi-modal data and reason across complex, case-specific contexts. Although recent methods have advanced medical report generation (MRG) and visual question answering (VQA) with medical vision-language models (VLMs), these methods, however, predominantly operate under a sample-isolated ...

Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers

This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient data. By processing patients` longitudinal health records and bone-related tabular data, our model captures complex, long-range dependencies in disease progression that conventional methods often overlook. We validated ...

Learning Longitudinal Health Representations from EHR and Wearable Data

Foundation models trained on electronic health records show strong performance on many clinical prediction tasks but are limited by sparse and irregul...

Rx Norm for Europe - Toward the representation of medicinal products in the OMOP CDM: Graph visualization and validation of two mapping approaches using the OHDSI USAGI tool and LLM

Medication product names in Swiss electronic health records are heterogeneous and often encode multiple attributes (e.g., ingredient, strength, dose f...

LeMoF: Level-guided Multimodal Fusion for Heterogeneous Clinical Data

Multimodal clinical prediction is widely used to integrate heterogeneous data such as Electronic Health Records (EHR) and biosignals. However, existin...

AI Agents Need Memory Control Over More Context

AI agents are increasingly used in long, multi-turn workflows in both research and enterprise settings. As interactions grow, agent behavior often deg...

Artificial intelligence in bacterial diagnostics and antimicrobial susceptibility testing: Current advances and future prospects.

Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, accuracy, and scalability of bacterial diagnostics. ...

ML-Based Automata Simplification for Symbolic Accelerators

Symbolic accelerators are increasingly used for symbolic data processing in domains such as genomics, NLP, and cybersecurity. However, these acceler...

MCPmed: A Call for MCP-Enabled Bioinformatics Web Services for LLM-Driven Discovery

Bioinformatics web servers are critical resources in modern biomedical research, facilitating interactive exploration of datasets through custom-bui...

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data

Eviction is a significant yet understudied social determinants of health (SDoH), linked to housing instability, unemployment, and mental health. Whi...

Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation

Critical infrastructure systems, including energy grids, healthcare facilities, transportation networks, and water distribution systems, are pivotal...

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Electronic Health Records (EHR) are time-series relational databases that record patient interactions and medical events over time, serving as a cri...

Vers un cadre ontologique pour la gestion des comp{é}tences : {à} des fins de formation, de recrutement, de m{é}tier, ou de recherches associ{é}es

The rapid transformation of the labor market, driven by technological advancements and the digital economy, requires continuous competence developme...

[The standardization and digitalization and intelligentization represent the future development direction of hip arthroscopy diagnosis and treatment technology].

In recent years, hip arthroscopy has made great progress and has been extended to the treatment of intra-articular or periarticular diseases. However,...

BioPortal: an open community resource for sharing, searching, and utilizing biomedical ontologies.

BioPortal (https://bioportal.bioontology.org) is the world's most comprehensive repository of biomedical ontologies. It provides infrastructure for fi...

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models

Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health dispariti...

On Demographic Transformation: Why We Need to Think Beyond Silos

Developed nations are undergoing a profound demographic transformation, characterized by rapidly aging populations and declining birth rates. This d...

Large Language Models for Automating Clinical Data Standardization: HL7 FHIR Use Case

For years, semantic interoperability standards have sought to streamline the exchange of clinical data, yet their deployment remains time-consuming,...

Medical Data Pecking: A Context-Aware Approach for Automated Quality Evaluation of Structured Medical Data

Background: The use of Electronic Health Records (EHRs) for epidemiological studies and artificial intelligence (AI) training is increasing rapidly....

A Weakly Supervised Transformer to Support Rare Disease Diagnosis from Electronic Health Records: Methods and Applications in Rare Pulmonary Disease

Rare diseases affect an estimated 300-400 million people worldwide, yet individual conditions often remain poorly characterized and difficult to dia...