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, ...
A free web platform called ArchMap now allows researchers to map single-cell datasets onto published reference atlases and ...
Machine Learning and Single-Cell Technology Combined to Drive High-Performance Cell Line Development
OneCyte, which focuses on high-throughput single-cell analysis and cell line development technologies, and Kemp Proteins, which specializes in protein engineering and expression solutions, signed a ...
A new machine learning-based platform called MALVINA measures bacterial invasion, intracellular accumulation and DNA damage at single-cell resolution, exposing infection dynamics that conventional ...
Macrophages, the scavenger cells of the immune system, have long been recognized as double agents inside tumours. Depending on the molecular cues they receive, they can rally anti-cancer defences or, ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction ...
Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of ...
MIT researchers combined Raman microscopy with single-cell and spatial gene-expression measurements to identify biochemical patterns associated with cellular senescence without destroying the tissue ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
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