The use of AI technology in predicting crop failures is making waves in the agricultural sector, boasting an impressive accuracy rate of 90%. This innovation signals a new era in agriculture, with ...

Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Please provide your email address to receive an email when new articles are posted on . The prediction model analyzed eGFR changes from electronic medical records to predict risk for graft failure.

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical ...

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...