This study introduces the Multidimensional Antiviral Antibody Database (MAAD), a comprehensive and standardized platform integrating sequence, structure, and functional data for antibodies targeting three high-impact RNA virus families. MAAD serves not only as a curated data repository but also as an interactive analytical toolbox designed to support rational antibody engineering, structure-based vaccine design, and AI-driven antibody discovery.

A review paper by scientists from Tianjin University presented light on brain-on-a-chip interfaces (BoCIs)—a groundbreaking technology that fuses lab-grown biological neural networks with electronic systems to enable bidirectional information exchange.

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, incomplete views and hybrid techniques.