In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.
For the first time, a stem cell model has produced a structure resembling an early human embryo with a yolk-sac-like ...
For the first time, a stem cell model has produced a structure resembling an early human embryo with a yolk-sac-like structure, from a single starting stem cell population and without direct genetic ...
2don MSN
AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
A new study published in Stem Cell Reports demonstrates how a human stem cell-derived model of the intestine can be used to ...
State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
Researchers at NYU Langone Health propose a model that could explain how cancer cells adapt to environmental stress, an ...
In a recent study, Associate Professor Makoto Ikeya (Department of Clinical Application) and his team of researchers successfully established a method to generate jawbone-like organoids (mini-organs) ...
Researchers recently developed a bone marrow model to study how the body generates cells. Interestingly, this model is the first of its kind to be developed entirely from human cells. Not only can ...
A physics-based model that accounts for membrane surface folds predicts cell adhesion on nanopillar arrays with 97% accuracy, enabling optimized biosensor design.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results