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Machine learning is reinventing high-entropy alloys
High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...
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 ...
A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...
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 ...
This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
CertiK has explained that blockchain technology has long relied on smart contracts as its backbone, automating agreements ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
A new global review shows that while machine learning, connected medical devices, and blockchain systems are individually ...
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