Results 61 to 70 of about 5,849,043 (235)
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Hydrophilic fluorinated copolymers dissolve in chyme and give a strong, single 19F signal, unlike phase‐separating perfluorocarbons. Combined 1H‐19F MRI tracks their whole‐gut transit non‐invasively and without ionizing radiation. In rats, the tracers move through the gastrointestinal tract, resist resorption, and are well tolerated, a proof‐of‐concept
Ondřej Groborz +13 more
wiley +1 more source
The Primary Care Informatics Working Group (PCIWG) of the American Medical Informatics Association (AMIA) has identified the absence of a national strategy for primary care informatics.
David Little +5 more
doaj +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Managing Pandemics with Health Informatics
Objective: To summarize significant research contributions on managing pandemics with health informatics published in 2020. Methods: An extensive search using PubMed and Scopus was conducted to identify peer-reviewed articles published in 2020 that ...
Dixon, Brian E., Holmes, John H.
core +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
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source
The aim of this study was to describe an integrated informatics approach to aggregating and displaying clinically relevant data that can identify problems with medication adherence and facilitate patient-provider communication about strategies to improve
Marrero, David G. +3 more
core +1 more source
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source

