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It’s easier now to treat opioid addiction with medication — but use has changed little

Researchers Publish Final Results of Key Clinical Trial for Gene Therapy for Sickle Cell Disease

A new report from the American Lung Association shows nearly 40% of people across the U.S. are living in areas that are heavily polluted.

Five facilities at Argonne where climate solutions are front and center

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Sweet potato quality analysis is enhanced with hyperspectral imaging and AI

The Medical Minute: Supervised exercise therapy eases symptoms of peripheral artery disease

Detection of Missed Colorectal Cancer Remains Low for Most Diverticulitis Patients

A university lecture, with a dash of jumping jacks

25 Apr, 2024

Cardiac Arrest: Hispanics, Latinos With Kidney Disease at High Risk

October 11, 2023 sarah JonasResearch Results

Hispanics and Latinos with chronic kidney disease are at significant risk for suffering from sudden cardiac arrest, according to a new study from the Smidt Heart Institute at Cedars-Sinai.

AI Improves Accuracy of Heart Condition Diagnosis

October 27, 2022 sarah JonasResearch Results

Several recent discoveries show that the accuracy of diagnosing coronary artery disease and predicting patient risk is improved with the help of artificial intelligence (AI) models developed by scientists in the Division of Artificial Intelligence in Medicine at Cedars-Sinai.

HER2 Pathways in Breast Cancer May Hold Key to Effective Treatment of Idiopathic Pulmonary Fibrosis

October 13, 2022 sarah JonasResearch Alert

LOS ANGELES (Oct. 13, 2022) — FINDINGS A new study led by Cedars-Sinai investigators suggests HER2 signaling may be a key driver of fibroblast invasion and can serve as a target for therapeutic intervention in idiopathic pulmonary fibrosis. HER2 is…

Artificial Intelligence Shown to More Rapidly and Objectively Determine Calcium Scores Than Physicians

September 15, 2022 sarah JonasResearch Alert

A study published today in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging shows that artificial intelligence tools can more rapidly, and objectively, determine calcium scores in computed tomographic (CT) and positron emission tomographic (PET) images than physicians, even when obtained from very-low-radiation CT attenuation scans.