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 dual-view machine learning framework called scTrans-SVD achieved a mean Macro-F1 of 0.8820 across 13 public 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, ...

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 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 ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular data from individual cells. Survival analysis is ...