The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

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 ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Imbalanced datasets pose a significant challenge in machine learning, where some classes are heavily underrepresented, affecting model performance and robustness. This paper offers a comprehensive ...

Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis Abstract: In this digitized world, data has become an integral part in any domain, including healthcare.

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...