Cell-line development enhances biopharmaceutical production capacity and quality, but complex biologics like bsAbs and ADCs ...

Neel Somani, a researcher specializing in mathematics, computer science, and business, has long explored the intersection between computational efficiency and human well-being. His work reflects an ...

For more than a century, scientists have argued over what really drives cancer, yet the pieces of the puzzle have rarely fit ...

Kian Sadeghi, the founder and CEO of Nucleus Genomics, believes every parent has a right to select the qualities they most desire in their potential future children, calling it "genetic optimization." ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...

A hybrid modeling framework to optimize Chinese hamster ovary cell cultures for monoclonal antibody (mAb) production reduces the number of modeling parameters needed while returning results that ...

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...