Menu Close
Johns Hopkins Medicine
Our People
Trial Innovation Network
BIOS
Careers
Studies
Expertise

About BIOS

Led by Daniel F. Hanley, MD, the BIOS Clinical Trials Coordinating Center is an academic research organization (ARO; clinical trial data management center, imaging reading center, and enrollment center) within the Johns Hopkins School of Medicine Department of Neurology. Its focus is to provide multicenter management to clinical trials evaluating therapeutic, preventive, and diagnostic interventions. BIOS CTCC is disease-agnostic with unique expertise in the coordination and management of trials investigating rare diseases and disorders, acute neurologic ICU conditions, rehabilitation, pain management, and functional outcomes. Although BIOS CTCC originated in the Department of Neurology and still is embedded in that department, it has expanded beyond support for neurology trials.

 Read More

Johns Hopkins University TIC

BIOS CTCC and the Johns Hopkins Institute for Clinical and Translational Research (ICTR) have been awarded a $24.5 million grant from the National Institutes of Health’s National Center for Advancing Translational Sciences (NCATS) to continue as a Trial Innovation Center (TIC).

The goal of the TICs is to promote innovations in the efficiency and quality of NIH-funded trials. The centers are part of the NCATS Trial Innovation Network and will work with the national Clinical and Translational Science Awards Program, which funds a consortium of 64 medical research institutions in 31 states and the District of Columbia. The centers will help the institutions form a long-standing infrastructure for multicenter studies to be funded by NIH and other funding agencies.

 Read More

Recent Publications

 


Early outpatient treatment for Covid-19 with convalescent plasma.
Sullivan DJ, Gebo KA, Shoham S, et al. N Engl J Med. 2022;386(18):1700-1711. >Read our summary of the NEJM article


Using gamification to enhance clinical trial start-up activities.
Lane K, Majkowski R, Gruber J, et al. J Clin Transl Sci. 2022;6(1):e75.

 


Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume.
Sharrock MF, Mould WA, Hildreth M, et al. J Neuroimaging. 2022;32(5):968-976.