06:37Artificial Intelligence-Based System for Detecting Attention Levels in Students
09:11Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
05:33Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Drug Discovery: Overview
08:58Artificial Intelligence Approaches to Assessing Primary Cilia
05:49Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Jan 19, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
1Department of Chemistry and Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08102, USA;
Artificial intelligence (AI) and big data are revolutionizing drug discovery. AI-driven models analyze vast datasets, enhancing drug candidate evaluation for efficacy and safety, accelerating rational drug development.
Failed At:
2026-06-19T13:38:21.305827+00:00