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Flabby and flexible: How machine learning helps to build new proteins
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
Frontiers14h
Harnessing Machine Learning for Enhanced Biomedical Diagnosis and Early Disease Detection: Bridging Data Science and Healthcare
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...
Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
CORNETO: Machine learning to decode complex omics data
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...
IEEE9d
Performance Analysis of Machine Learning Algorithms for Thyroid Disease
This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.