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Investigators at Cedars-Sinai have received a $2 million grant from the California Institute for Regenerative Medicine to develop a new cell therapy that helps improve quality of life for patients with degenerated discs and chronic lower back pain.
An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed with the disease.
Researchers at Cedars-Sinai developed an artificial intelligence (AI) program that properly identified who would get pancreatic cancer depending on what their CT scan results looked like years before they were diagnosed.
Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have transformed many industries and areas of science.
A special issue of Cancer Biomarkers explores how sophisticated new computational tools applied to vast amounts of data may revolutionize the identification of new biomarkers to aid in early cancer detection and the mechanisms driving disease