Structural variations (SVs)—large-scale changes in DNA sequence—play a crucial role in shaping traits such as yield, quality, and environmental adaptation in crops.

AI can now create genome viruses in laboratories and redesign toxins to evade controls, raising biosafety alert and rise of ...

Structural variations (SVs), including insertions, deletions, inversions, and substitutions, can profoundly influence gene ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Antigen-driven TCR signaling in the epidermis during CD8+ TRM differentiation results in a lower TGFβ requirement for persistence and increased proliferative capacity that together enhance epidermal ...

Oncology and tackling chronic issues like obesity are still the big drivers for growth in the biotech world. Combining ...

Explore how AI-driven multiomics is reshaping drug discovery and personalized medicine development through innovative data ...

VANCOUVER, BC, Dec. 31, 2025 /CNW/ -- The precision oncology market surged to $139.4 billion in 2025 and is racing toward $317.5 billion by 2035([1]) , driven by a fundamental shift in cancer ...