Engineering novel proteins through directed evolution have become a foundation of protein engineering in biotech. However, these techniques are incapable of simultaneous engineering of protein-protein pairs through library-on-library selections.
A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Researchers in the Herzenberg laboratory at Stanford University have patented a method to quantify antigens during flow cytometry without the use of calibrators.
Stanford scientist has developed a computational method that extracts quantitative imaging features that reproducibly describe lesion phenotypes associated with treatment response and clinical outcomes in cancer.
Stanford researchers have developed software that offers a solution to presenting tasks in a clinical magnetic resonance imaging facility to evoke specific responses within the human brain.