Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Researchers at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins ...

A growing body of research is revealing how the single-celled green alga Chlamydomonas reinhardtii coordinates a rapid, multi ...

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 ...

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 ...

SingleCell Biotechnology, a biotechnology company developing technologies to measure tumor cell behavior at single-cell resolution, today announced that data from its platform will be presented at the ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse. Object ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

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