Results 81 to 90 of about 4,951,805 (294)
The digital transformation has influenced medical pathways in clinical routine and research as never before. This transformation requires multiple competencies in digital health from health professionals.
Varghese, Julian +3 more
doaj +1 more source
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis [PDF]
Large language models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), potentially enabling new ways to analyze data, treat patients, and conduct research.
Huizi Yu +11 more
semanticscholar +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
The 13 th World Congress on Medical and Health Informatics (Medinfo) was held in 2010 between 12 and 15 September in Cape Town, South Africa. This triennial international gathering is the official conference of the International Medical Informatics ...
Andrew Georgiou
doaj +1 more source
History of Medical Informatics - an Overview
Health professionals are able to make right decision in right time only if they posses prompt, accurate and up to date information about health status of patients and general population.
Z. Sabanovic
semanticscholar +1 more source
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey
Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods.
Fatih Safa Erenay +5 more
doaj +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

