Media Highlights from Dr. Leora Horwitz’s RECOVER Long-COVID Study
U.S. Study Finds 1 in 10 Get Long COVID After Omicron, Starts Identifying Key Symptoms
This article was picked up by news websites across the country.
The Associated Press – May 26
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
Study: Almost 10% of Patients Tend to Suffer Prolonged COVID-19 After Contracting Omicron
(Article in Spanish)
Telemundo47 – May 26
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
Experts Devise Symptoms Checklist to Help Define Long COVID
This article was picked up by news websites across the country.
HealthDay – May 25
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
What Is Long COVID? 12 Defining Symptoms Revealed
New York Post – May 25
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
For the First Time, Researchers Identify 12 Symptoms of Long Covid
Chief Healthcare Executive – May 26
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
NIH Trial Zeroes in on Common Long Covid Symptoms
NBC News – May 25
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
Symptom-Based Scoring System May Help Diagnose Long COVID
Healio Infectious Disease – May 25
-Leora Horwitz, MD, professor, Departments of Population Health, and Medicine, Division of Hospital Medicine
Additional News from NYU Langone Health
AI Finds "Invisible" Brain Injuries in College Athletes
*Link is unavailable. Please see full text at end of report.
Reuters Health – May 25
-Yvonne W. Lui, MD, professor, associate chair for artificial intelligence, Department of Radiology
Clinical Trials in Endometrial Cancer Need Improved Diversity to Address Rising Mortality Rates
OncLive – May 25
-Bhavana Pothuri, MD, professor, Department of Obstetrics and Gynecology and Department of Medicine, Division of Hematology and Medical Oncology, Perlmutter Cancer Center
-Whitfield B. Growdon, MD, member of the faculty, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Perlmutter Cancer Center
-Edward A. Jimenez, DO, associate professor, Department of Obstetrics and Gynecology, NYU Langone Hospital–Long Island, Perlmutter Cancer Center
-Kari E. Hacker, MD, PhD, assistant professor, Department of Obstetrics and Gynecology, Perlmutter Cancer Center
-Leslie R. Boyd, MD, associate professor, Department of Obstetrics and Gynecology, vice chair for gynecology, Perlmutter Cancer Center
Dr. Wise on the Optimal Use of Treatment Intensification in mHSPC
OncLive – May 25
-David R. Wise, MD, PhD, assistant professor, Department of Medicine, Division of Hematology and Medical Oncology, and Department of Urology, Perlmutter Cancer Center
Trientine Reduces NT-proBNP Up to Eight Weeks in HFrEF: TRACER-HF
Medscape – May 25
-Danyaal S. Moin, MD, assistant professor, Department of Medicine, the Leon H. Charney Division of Cardiology
Women with Irregular Menstrual Cycles May Face Higher Risk of Cardiovascular Disease, Study Warns
Medical Daily – May 26
-Nieca Goldberg, MD, clinical associate professor, Department of Medicine, the Leon H. Charney Division of Cardiology
Are Eggs Good for High Blood Pressure?
HealthCentral – May 25
-Anais Hausvater, MD, clinical instructor, Department of Medicine, the Leon H. Charney Division of Cardiology
News from NYU Langone Hospital—Long Island
NYU Langone Aims to Build $3B Medical Center at NCC
Newsday – May 26
-NYU Langone Hospital—Long Island
Investigating the Etiology of Recurrent Pregnancy Loss
MDEdge – May 25
-Wendy L. Kinzler, MD, professor, Department of Obstetrics and Gynecology, associate dean, Graduate Medical Education, NYU Long Island School of Medicine
AI Finds "Invisible" Brain Injuries in College Athletes
*Reuters Health, May 25 - Artificial intelligence will someday help doctors see brain injuries that do not show up on conventional imaging studies, researchers say.
The researchers used machine learning to analyze hundreds of brain images from 36 college athletes who played contact sports involving head impacts and 45 college athletes who competed in non-contact sports.
They found those involved in contact sports had tiny structural changes in their brains even though they had never been diagnosed with concussion, according to a report published on Monday in The Neuroradiology Journal. No such changes were seen in the brains of athletes who performed non-contact sports.
"Our results highlight the power of artificial intelligence to help us see things that we could not see before, particularly 'invisible injuries' that do not show up on conventional MRI scans," study leader Junbo Chen of NYU Tandon School of Engineering said in a statement. "This method may provide an important diagnostic tool not only for concussion, but also for detecting the damage that stems from subtler and more frequent head impacts."
Study coauthor Dr. Yvonne Lui of NYU Langone Health noted that both groups of athletes would be expected to have similar brain structure, so the results highlight the potential added brain risk of certain sports.
The current study involved only male athletes. Chen said the researchers will next explore the use of their machine-learning technique for examining head injury in female athletes.
