Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

This article is authored by Laxmidhar Behera, director, IIT Mandi and professor, IIT Kanpur.

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

AI in Pathology Market OverviewThe global AI in pathology market is anticipated to witness robust expansion, growing at an estimated compound annual growth rate of around 26% during the forecast ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Artificial intelligence is being positioned as a catalytic force in reshaping biomanufacturing, with policymakers, scientists and industry leaders outlining a roadmap that blends computational power ...

The genetic network of BTB zinc finger transcription factors and Eip93F is crucial for Kenyon cell identity regulation and neuronal function acquisition in the construction of Drosophila mushroom ...