In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Scientists say they have worked out a machine learning method with the ability to provide close to precise survival estimates ...

Scientists say they have worked out a machine learning method with the ability to provide close to precise survival estimates of patients afflicted ...

Screening can now determine their risk for an ever-growing list of conditions — including ones we can’t do much about.

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Cofactor Genomics announced the latest validation results for OncoPrism ®, Cofactor's breakthrough RNA-based diagnostic approach at the RNA Society's 30th Annual Meeting. The talk, presented by Dr.

PanGIA Biotech, a leader in non-invasive cancer diagnostics, presented findings at the 2025 Annual Meeting of the American Society of Clinical Oncology (ASCO) from a prospective, multi-center ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

This patent strengthens Renovaro's AI and machine learning intellectual property portfolio by protecting novel methods for ...

This useful manuscript describes cryo-EM structures of archaeal proteasomes that reveal insights into how occupancy of binding pockets on the 20S protease regulates proteasome gating. The evidence ...