News and Events
Stay informed about RECOVER’s Long COVID research by reading the latest news and participating in upcoming events.

Stay informed about RECOVER’s Long COVID research by reading the latest news and participating in upcoming events.

Findings from RECOVER’s pediatric observational study are an important first step toward including children in Long COVID clinical trials.
On November 21, NIAID and FNIH launched its first in a series of online webinars highlighting recent progress in the new Researching COVID to Enhance Recovery - Treating Long COVID (RECOVER-TLC) program.
Recent findings from across RECOVER’s five research areas could improve our ability to identify people with Long COVID, understand the underlying causes of their symptoms, and provide them with care and treatment.
During the October 29th RECOVER Research Review (R3) Seminar, researchers highlighted patterns in electronic health record (EHR) data in patients who developed Long COVID after a first, or subsequent COVID-19 reinfection. By reviewing patient medical records from as early as March 2020, the findings from these studies provide insights into potential risks associated with developing Long COVID.
NIH leaders will discuss the current status of RECOVER-TLC, share information about potential Long COVID treatments to be tested in RECOVER-TLC clinical trials, and answer questions from the public.
RECOVER-TLC invites the Long COVID community to submit ideas for potential Long COVID treatments and biomarkers, volunteers for working groups, and provide feedback on the next phase of Long COVID clinical trials.
During the October 8th RECOVER Research Review (R3) Seminar, researchers described how RECOVER and the All of Us Research Program collaborate to advance our understanding of Long COVID. These different National Institutes of Health (NIH) initiatives are sharing health data and developing innovative tools to gain important insights from that data.
A research team at RECOVER’s South Dakota study site prioritizes diversity and accessibility in clinical trial enrollment.