Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
European Medical Journal

Machine Learning Shows Promise in Predicting RA Treatment Response

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
AlphaGalileo

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Yale Environment 360

Machine learning model predicts PTSD symptom severity over time

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

AI model predicts blood loss in liposuction

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
Medical Dialogues

Machine Learning Enables Personalized Prediction of Glaucoma Progression, Suggests Research

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Ahmedabad Mirror

AI model can predict blood loss in liposuction

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
The Regulatory Review

Predicting Turbidity, Protecting Tap Water

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

New machine-learning models capture the rapid evolution of antimicrobial resistance

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...