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Cedars-Sinai Cancer Welcomes Gynecologic Oncologist Margaret Liang, MD
Liang Named Program Director for the Gynecologic Oncology Fellowship Program
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Faculty Publications: May 4-11
This week’s edition of Faculty Publications includes Cedars-Sinai studies that were published May 4-11.
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Protein Biomarkers Identified in Women Who Developed Perinatal Depression and Anxiety
Cedars-Sinai Study Could Help Pave the Way to Early Diagnosis and Treatment for Pregnancy-Related Mood Disorders
Course
Virtual Medicine: Best Practices in Medical Extended Reality
Thursday, March 30, 2023, 9:00 AM - Friday, March 31, 2023, 3:45 PM Sofitel Los Angeles at Beverly Hills, 8555 Beverly Boulevard, Los Angeles, CA
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Second Opinion Program Aims to Help Patients
Receiving a diagnosis of a complex or unusual medical condition can be disheartening. In most cases, it is an unnerving experience filled with questions and uncertainty.
Course
9th Annual Cedars-Sinai Update in Obstetrics & Gynecology Conference
Date & Location Friday, March 10, 2023, 7:45 AM - 2:00 PM Online, Los Angeles, CA
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Mediterranean Diet Linked to Lower Preeclampsia Risk
Smidt Heart Institute Investigators Found That Women Who Conceived While Following a Mediterranean Diet Had Lower Risk of Developing Adverse Pregnancy Outcomes
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Mapping Endometriosis: A Vast Cellular Atlas Is Created
Cedars-Sinai investigators produced data from 400,000 patient cells to better understand the disease.
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Immune System Irregularities Found in Women With Postpartum Mood Disorders
New Study Suggests Inflammation May Play a Key Role in Maternal Mental Health
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New Initiative Aims to Reduce Risk of Maternal Stroke and Other Pregnancy-Related Complications
New Cedars-Sinai Initiative Aims to Reduce Risk of Maternal Stroke and Other Pregnancy-Related Complications By Treating Severely Hypertensive Expectant Mothers Sooner
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Cedars-Sinai Study: Biomarkers That Predict Preeclampsia Risk
A new Cedars-Sinai study could help identify pregnant women at risk for developing preeclampsia.
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AI Improves Accuracy of Heart Condition Diagnosis
Scientists at Cedars-Sinai Developed AI Models That Improve Images of the Heart, Better Diagnose Coronary Artery Disease and Predict Heart Attacks
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