According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
11don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
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