P Heesen, G Schelling, M Birbaumer, R Jäger, B Bode… - Cancers, 2024 - mdpi.com
Simple Summary This study looks at how combining real-world/time data/evidence (RWTD/E) with traditional clinical studies (known as randomized controlled trials) can …
PL Wander, A Baraff, A Fox, K Cho… - JAMA Network …, 2023 - jamanetwork.com
Importance A significant proportion of SARS-CoV-2 infected individuals experience post– COVID-19 condition months after initial infection. Objective To determine the rates, clinical …
B Fuchs, G Schelling, M Elyes, G Studer… - Cancers, 2023 - mdpi.com
Simple Summary Benchmarking is a crucial tool for healthcare providers to improve quality and efficiency, especially for complex conditions like sarcomas. Sarcomas are a type of …
AK Cohen, TW Jaudon, EM Schurman, L Kava… - Communications …, 2024 - nature.com
Background Prior case series suggest that a 5-day course of oral Paxlovid (nirmatrelvir/ritonavir) benefits some people with Long COVID, within and/or outside of the …
Although the clinical burden of coronavirus disease 2019 (COVID-19) has undergone a substantial decline over time [1], the consequences of severe acute respiratory syndrome …
Background Long COVID is the patient-coined term for the persistent symptoms of COVID- 19 illness for weeks, months or years following the acute infection. There is a large burden of …
M Anderson, N Bauer - Cardiopulmonary Physical Therapy …, 2025 - journals.lww.com
Background and Purpose: As a result of COVID-19 infection, millions of individuals are now affected by Long COVID, and this number continues to increase. These individuals …
AK Cohen, TW Jaudon, EM Schurman, L Kava… - Research …, 2023 - ncbi.nlm.nih.gov
Background: Prior case series suggest that a 5-day course of oral Paxlovid (nirmatrelvir/ritonavir) benefits some people with Long COVID, within and/or outside of the …
M Crosskey, T McIntee, S Preiss, D Brannock, YJ Yoo… - medRxiv, 2023 - medrxiv.org
Background In 2021, we used the National COVID Cohort Collaborative (N3C) as part of the NIH RECOVER Initiative to develop a machine learning (ML) pipeline to identify patients …