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.
SingleCell Biotechnology, a biotechnology company developing technologies to measure tumor cell behavior at single-cell ...
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 ...
With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...
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 ...
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Machine Learning Uncovers Hidden Role of Glial Cells
Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are finally stepping into the neuroscience spotlight. A new Florida Atlantic ...
Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir computing. Researcher used rat neurons to generate complex time-series ...
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