The integrated approach is designed to adapt to the evolving needs of new therapeutic modalities, delivering both speed and performance.

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

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 ...

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 ...

Researchers at Broad Institute of MIT and Harvard, Massachusetts General Hospital and Harvard Medical School developed a new machine learning framework based on this mathematical model that can be ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...