A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Nithin Vunnam merges ERP expertise with AI and autonomous systems, architecting intelligent infrastructure and developer ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

Researchers evaluated the relative importance of phenotypic and genetic factors in predicting risk for head and neck cancer.

Diabetic retinopathy remains a major cause of vision loss among working-age individuals worldwide. While chronic ...

MLPerf Client v1.0 is the result of collaboration among major industry stakeholders, including AMD, Intel, Microsoft, NVIDIA, Qualcomm Technologies, and leading PC OEMs. The benchmark is available now ...

An accompanying episode of the Annals of Family Medicine Podcast, featuring study authors Ann Sinéad Doherty, PhD, and Emma ...