Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
In a recent study published in npj Science of Food, researchers developed VirtuousMultiTaste, a machine-learning tool to distinguish between sweet, umami, and bitter tastes based on a compound's ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback