Machine learning in point-of-care testing: innovations, challenges, and opportunities

Abstract The landscape of diagnostic testing is undergoing a significant transformation, driven by the integration of artificial intelligence (AI) and machine learning (ML) into decentralized, rapid, and accessible sensor platforms for point-of-care testing (POCT). The COVID-19 pandemic has accelera...

Full description

Bibliographic Details

Published in:	Nature Communications
Main Authors:	Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz, Shun Ye, Barath Palanisamy, Rajesh Ghosh, Fabio Lisi, Elliott Rogers, David Guzman, Defne Yigci, Savas Tasoglu, Dino Di Carlo, Keisuke Goda, Rachel A. McKendry, Aydogan Ozcan
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-04-01
Online Access:	https://doi.org/10.1038/s41467-025-58527-6