Machine Learning and Single-Cell Technology Combined to Drive High-Performance Cell Line Development
The integrated approach is designed to adapt to the evolving needs of new therapeutic modalities, delivering both speed and performance.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
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 ...
Researchers at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins ...
OneCyte, a leader in high-throughput single-cell analysis and cell line development technologies, and Kemp Proteins, a ...
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 ...
Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.
Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...
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