Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.
Hosted on MSN
Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
Performance evaluation of an AI-powered system for clinical trial eligibility using mCODE data standards. ATheNa-Breast: A real-world pilot of an artificial intelligence (AI) chatbot using therapy ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...
Prospect Prediction Markets Inc. (TSXV: MKT) (OTCID: MKTSF) (FSE: DEP) ("Prospect Markets" or "Prospect" or the "Company") is pleased to announce ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results