A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

GAINESVILLE, Fla., April 6, 2026 /PRNewswire/ -- Advita Ortho, a global medical technology leader, presented 16 new research ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

WisdomTree Quantum Computing Fund is designed to track the total return performance of, before fees and expenses, WisdomTree ...

The Marine Corps conducted Dynamis Serial 005 to test AI-enabled battle management and joint integration across multidomain ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

Abstract: Tabular data, structured as rows and columns, is among the most prevalent data types in machine learning classification and regression applications. Models for learning from tabular data ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...