The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg.

But when researchers used a machine learning algorithm to predict the density of microbes—called microbial load, from their gut microbiomes, they found that changes in microbial load, rather ...