AI-Powered Lung Cancer Atlas Identifies Cell Types Linked to Higher Risk of Spread
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4 Articles
They identify the molecular keys that can help choose the most effective treatment for each patient
AI-powered lung cancer atlas identifies cell types linked to higher risk of spread
Recent advances in cancer biology have shown that a tumor is not a uniform mass. It consists of many different cancer cells and is embedded in an environment of immune cells, connective tissue and blood vessels. This variety is a significant factor in determining whether a tumor spreads and how well a therapy works. While single-cell approaches are considered pioneering instruments in cancer research, their translation into clinical practice has…
LMU and Berlin Researchers Develop AI-Linked Lung Cancer Cell Atlas to Predict Metastatic Risk
LuCaS+ combines single-cell data from 454 patients with clinical outcomes to reveal aggressive tumor cell populations and interactions with their microenvironment IN BRIEFKEY TAKEAWAYSFAQs Researchers from LMU, Charité University Hospital Berlin and BIFOLD at the Technical University of Berlin have … Read the full press release →
A single cell atlas of 454 patients with non-small cell lung cancer identifies tumor subpopulations that drive metastases.The entry A lung cancer atlas: reveals which cells push metastases aparece primero en Merca2.
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