Descriptions of the embryo go back at least to the time of Aristotle, but it has only been since the late 19 th century and early 20 th century that advances in experimental approaches allowed ...

Largest collection of patient stem cell models of multiple sclerosis to date uncovers novel disease insights and opens the door for new treatments A team of scientists from The New York Stem Cell ...

In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

A protein involved with cell death can be manipulated to slow or reverse tumor growth, a pair of new studies in mice found.

For several years, researchers studied human embryonic stem cells (ESCs) to understand the unique features of these pluripotent cells, but on their own, they poorly resembled the complex structures ...

But in February of this year, a startup named Tahoe Therapeutics got one step closer to that goal with the release of Tahoe-100M, a collection of 100 million different datapoints showing how different ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...

CAR T cell therapy is one of the most promising new cancer treatments to emerge in recent years. It involves removing a patient's own immune T cells and engineering them to recognize specific targets ...

An AI-based model for analyzing images appeared better able to predict ccRCC from CT-based images than a tumor size-based model was.