Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
Precision medicine and multidisciplinary care in gastric and gastroesophageal junction (G/GEJ) cancers: Challenges and practice gaps in community cancer clinics. This is an ASCO Meeting Abstract from ...
Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.
In a breakthrough for cardiovascular medicine, researchers have harnessed artificial intelligence to discover unexpected lipid-lowering effects in existing FDA-approved drugs. The study, published in ...
Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...
A new global review shows that while machine learning, connected medical devices, and blockchain systems are individually ...
This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
CertiK has explained that blockchain technology has long relied on smart contracts as its backbone, automating agreements ...
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