Results 271 to 280 of about 1,140,283 (405)

Erratum to "Analysis of the three-year work of a digital pathomorphological laboratory built from the ground" [Journal of Pathology Informatics Volume 13, 2022, 100111]. [PDF]

open access: yesJ Pathol Inform
Evgenievna RE   +14 more
europepmc   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem   +5 more
wiley   +1 more source

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. [PDF]

open access: yesJ Imaging Inform Med
Moassefi M   +18 more
europepmc   +1 more source

GlyGen: Computational and Informatics Resources for Glycoscience.

open access: yesGlycobiology, 2020
W. York   +35 more
semanticscholar   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

Are Medical Informatics and Nursing Informatics Distinct Disciplines?: The 1999 ACMI Debate [PDF]

open access: bronze, 2000
Daniel R. Masys   +4 more
openalex   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

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