The integrated approach is designed to adapt to the evolving needs of new therapeutic modalities, delivering both speed and performance.

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

Cell culture is a foundational technology widely used across fields such as pharmaceutical production, regenerative medicine, food science, and materials engineering. A critical component of ...

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...

Machine learning can help improve drug production from cell culture by fine-tuning and quantifying cell culture media experiments. That’s the view of Bei-Wen Ying, PhD, a researcher from the ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

AI, robotics, and machine learning are converging to overcome longstanding CGT manufacturing bottlenecks as biopharma ...

Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in transplantation.

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...