Career Development Award Writing Workshop Series | Clinical & Translational Science Institute (bu.edu)

Mentoring the Mentor Seminar Series | Clinical & Translational Science Institute (bu.edu)

Clinical Research Seminars are sponsored by the Clinical Research Resources Office (CRRO), which receives support from CTSI, the Department of Medicine, and the Office of Clinical Research (OCR). The purpose of the monthly seminars is to enhance attendees’ knowledge regarding important clinical research topics.

Upcoming CRRO Seminars

We invite you to our CTSI seminar series. Each month the CTSI will introduce its faculty, clinicians, staff, and affiliates of the BU CTSI and engage in discussions geared specifically towards you, the BU research community. Join us and learn how the CTSI can help you.

Upcoming BERD Seminars

Are you currently using or thinking about using REDCap? Do you need help getting your project started or have a specific question about a REDCap feature? Join our REDCap users group! Meet with other REDCap users, have your questions answered and learn new tips. Drop-in sessions are held on the 1st and 3rd Thursday of each month from 1 to 3 pm. Please contact Tasha Coughlin at tawatson@bu.edu with questions.

Upcoming REDCap drop-in sessions

For those who are planning to conduct or are currently conducting clinical or translational research, a CTSI-sponsored open consultation session is offered on study design and statistical analysis. Meet with Howard Cabral, MPH, PhD, SPH Biostatistics, Janice Weinberg, ScD, SPH Biostatistics and Eric Jones, SPH Data Coordinating Center. Drop-in sessions are held every Tuesday, from 11 am to 12 pm (E-Building). Please contact Howard Cabral at hjcab@bu.edu with questions.

Upcoming study design and statistical analysis consultations

Combined drop-in sessions for help with research study design, statistical analysis, and REDCap. Drop-in sessions are held in the Mugar Library, 1st and 3rd Fridays, from 2 to 3 pm. Please contact Tasha Coughlin at tawatson@bu.edu with questions.

The training and education function is also home to the K-30 Clinical Research Training (CREST) program at the BU School of Medicine. This program is directed by Drs. Felson and Lasser. Since 1999, with support from the National Institutes of Health (NIH), the CREST program has trained and mentored fellows and junior faculty who are interested clinical and health services research.

Upcoming CREST/KL2 Programs and Drug & Device Development Seminar Series

This five-day course will focus on deriving, maintaining, characterizing, and differentiating human induced pluripotent stem cells (hiPSCs). The course is designed for research scientists working or planning to work with human iPSC culture who have prior experience in general cell culture techniques. It will include hands-on training, lectures and demonstrations from leading experts and educators in the field of stem cell biology from the Center for Regenerative Medicine (CReM) at Boston University Medical Center. Small class size will enable researchers to learn the entire process of reprogramming from somatic cell preparation, to reprogramming methodologies, iPSC identification, isolation and characterization, and current approaches to their directed differentiation into endodermal and lung lineages. Additional topics will include lectures and training in novel gene editing techniques, including the design and use of CRISPR/Cas9 in iPSCs, and development of 3D culture systems. http://www.bu.edu/dbin/stemcells/

For those interested in understanding the reprogramming methods used to derive the iPS cells available through this repository, an instructional video is available here.

The Section of Computational Biomedicine was founded in 2009 to develop and apply computational approaches to the analysis of high-throughput molecular datasets in order to improve the diagnosis, prognosis, and treatment of complex medical diseases. Among its research initiatives, the section has developed novel genomic biomarkers for the management of smoking-induced lung diseases, predictive biomarkers for lymphoma and breast cancer and tools for the rapid identification of infectious pathogens in clinical specimens.

Learn more about the Section of Computational Biomedicine here.