Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Engaging in creative activities such as music, dance, drawing, and even certain types of video games may support healthier ...

Discover how Subrahmanyasarma Chitta's IoT-based healthcare system is revolutionizing global medicine through real-time ...

Discover how drones and AI are revolutionizing Indian agriculture, enhancing yields and sustainability through precision data-driven farming.

Overview AI SaaS market globally is expected to exceed $101.7 billion in 2025, with nearly 40% annual growth. Major players ...

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

This year, Stanford University organized Agents4Science , the first open conference to accept papers written entirely by ...