Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...

HKU researchers developed MorphoGenie, an interpretable AI that analyzes cell images to uncover subtle biological patterns.

A research team led by Professor Kevin Tsia, a professor from the Department of Electrical and Computer Engineering under the Faculty of Engineering and the Programme Director of the Biomedical ...

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.

A research paper by scientists at University of Oxford presented a humanoid robotic bioreactor capable of delivering ...

In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

Scopio Labs, the leader in Full-Field digital cell morphology, today announced it has achieved IVDR certification for its Full-Field Bone Marrow Aspirate (FF-BMA) Application. This milestone, covering ...

Recent work has discovered that two platinum chemotherapeutics currently in widespread use operate by different cell death mechanisms. Cisplatin, particularly effective against testicular cancer, ...

Cell migration is a multistep process essential to various physiological functions, including immune cell movement and embryonic development, as well as pathological conditions like tumor metastasis.

Study: Multimodal AI generates virtual population for tumor microenvironment modeling A recent study published in the journal Cell explored the capabilities of GigaTIME, a multimodal AI framework ...