DCRI Welcomes New Faculty
A pediatric rheumatologist and a urologist have joined the DCRI.
Welcome to Mara Becker, MD, MSCE
Open Data Critical to Clinical Research
In a recent Perspective piece, the DCRI’s Frank Rockhold, PhD, outlines why data sharing is so important to the future of clinical research and shares suggestions for making the process more effici
Duke Symposium Showcases Diverse Obesity Research, Patient Experiences
The symposium convened multiple Duke obesity experts, community members, and patients to discuss current knowledge, challenges, and future opportunities.
DCRI Researchers Weigh In On Patient Data-Sharing
The paper outlines potential benefits and challenges for adopting initiatives that would enable data sharing at an individual patient level.
Warfarin Control Measures May Not Accurately Predict Risk in Atrial Fibrillation Patients
The study results suggest that clinical factors may be more useful than international normalized ratio metrics in predicting future risk of bleeding or thrombotic events.
Medical Misinformation Causes Underuse of Statins
The DCRI’s Ann Marie Navar, MD, PhD, writes that medical misinformation surrounding statins is causing patients to stop or avoid statins, missing out on a major opportunity to prevent heart at
The DCRI Welcomes Three Former Fellows As New Faculty
The new faculty represent the pediatrics, nephrology, and musculoskeletal therapeutic areas.
ARLG Study Employs Innovative Model to Test Diagnostics for Extragenital Gonorrhea
The study’s design, which researchers hope to use for other conditions, enabled testing of multiple diagnostic assays simultaneously and resulted in cost savings.
ARLG Study Employs Innovative Model to Test Diagnostics for Extragenital Gonorrhea
The study’s design, which researchers hope to use for other conditions, enabled testing of multiple diagnostic assays simultaneously and resulted in cost savings.
DCRI Contributes to AHA Statement on HIV and Cardiovascular Disease
The statement suggests that when treating people living with HIV who exhibit certain characteristics, clinicians should multiply conventional risk calculator scores by 1.5 to 2.