1,250

Studies

50+

FDA Submissions

5,500+

Publications

160K+

Participants Enrolled

Recent BAIM Publications

Innovation in Clinical Research

Baim Institute for Clinical Research is an innovative, non-profit academic research organization, leading interventional and non-interventional studies across drugs, devices, and diagnostics, translating results into practice, and measuring change. Our team delivers insight, innovation, and leadership to develop creative solutions that reduce the obstacles to implementation and enrollment of clinical trials. 

Mission

Our mission is to improve health and quality of life by collaborating with academic health systems, industry partners, and patients to conduct high quality clinical research in a professionally nurturing, inclusive, equitable, and world-class academic environment.

Faculty

Our faculty provide scientific leadership across different therapeutic areas, designing and overseeing clinical trials from concept through completion, analysis, and implementation, translating those results, either from novel pharmacologic or device therapies, into practice. View all Baim faculty. 

Insight and Expertise

The Baim Institute engages experts with deep clinical and research experience to nurture a network of community and academic institutions to design, implement, and analyze the results of clinical trials to answer critical questions. We communicate the results across the site network and beyond to translate the results into practice.

Trial Design

Baim works collaboratively with the stakeholders, reviews the science, and designs a study that can be effectively implemented at trial sites, assuring that enrollment goals are met.

Study Leadership

At Baim Institute, clinical trialists are also faculty experts in the disease or condition of interest and are matched with the study to ensure success.

Site Engagement

Our experience has created contacts across continents with the shared goal of executing clinical trials that add to our knowledge base.

Biostatistics

Performing quality statistical analysis is a critical component of clinical research, ensuring results are accurate and stand up to FDA scrutiny.

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