- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- Multimodal Environments for Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments
Clinical Trials and Outcomes Innovation Lab
Ashutosh Singhal, Ph.D.
Chief Data Officer &
Associate Vice-President, EDA
Assistant Professor, Biomedical Data Science
At the Clinical Trials and Outcomes Innovation Lab, under the leadership of Dr. Ashutosh Singhal, we integrate cutting-edge data science methodologies with clinical research to advance health care outcomes. Our mission is twofold: to conduct rigorous clinical trials aimed at improving patient care and to leverage data-driven approaches to address complex health care challenges. We are dedicated to promoting healthcare for everyone and increasing minority participation in clinical trials through innovative data-driven strategies.
Research Focus
Our lab’s research efforts are driven by a commitment to harnessing the power of data science to transform health care delivery and patient outcomes. We specialize in developing and testing hypotheses on human subjects under controlled environments, utilizing advanced data analytics techniques to derive meaningful insights. Our research extends beyond traditional clinical trials, encompassing the exploration of large-scale clinical datasets to identify trends, patterns, and predictive models that inform evidence-based healthcare practices.
Integration of Data Science and Clinical Research
Data science, under the leadership of Dr. Ashutosh Singhal, a renowned genomics and clinical research expert with a Ph.D. and specialized training from the NIH Clinical Center, is integral to our research. Leveraging his expertise, we integrate cutting-edge data science techniques, including machine learning and statistical modeling, to extract insights from complex datasets. This allows us to uncover novel insights into disease mechanisms, tailor interventions, predict treatment responses, and optimize health care delivery.
In collaboration with our interdisciplinary team of clinicians, scientists, and data experts, we utilize innovative data science tools and technologies, such as clinical decision support systems, to:
- Identify patient populations at risk of adverse health outcomes or eligible for clinical study or trial.
- Predict disease progression and treatment response.
- Optimize health care delivery processes to enhance efficiency and quality of care.
- Evaluate the effectiveness of health care interventions and clinical programs.
Dr. Singhal’s leadership ensures that data science remains central to our mission of driving innovation and improving health outcomes for all.
Student Research
We are currently accepting inquiries for student research. Contact Dr. Singhal at asinghal@mmc.edu.
Grant Support
Realizing Accelerated Progress, Investigation, Implementation, and Dissemination in Learning Health Systems (RAPID-LHS) Center
Major Goals: This P30 application, funded by AHRQ and PCORI, aims to establish a center that supports the development of faculty health scientists in learning health systems (LHS) research. The center will also provide resources for the evaluation of LHS initiatives, aligning with AHRQ’s vision to improve health care quality in America.
Funding: AHRQ (1P30HS029767-01)
Collaborator: Christianne Roumie, MD, MPH; Vanderbilt University Medical Center
The Mid-South Clinical Data Research Network/PCORnet
Major Goals: This initiative, supported by PCORI, aims to establish a Clinical Data Research Network (CDRN) comprising three large health systems. These include the Vanderbilt Health System, Vanderbilt Healthcare Affiliated Network (VHAN), and a partnership with Greenway Medical Technologies. The network will facilitate research access to millions of patient records in the mid-South region.
Funding: PCORI (R-1306-04869)
Collaborator: Russell Rothman, MD, MPP; Vanderbilt University Medical Center
Engaging Cooperative Sites for Trial Acceleration, Trust, Innovation, and Capability (ECSTATIC)
Major Goals: ECSTATIC aims to enhance institutional preparedness for multisite research, with a focus on engaging Historically Black Colleges and Universities (HBCUs) and other non-CTSA institutions. The project seeks to broaden inclusivity in research and strengthen technical infrastructure for response to Expression of Interest (EOI) requests.
Funding: NIH/NCATS/NIA (1U24TR004437-01)
Collaborator: Gordon R. Bernard, MD, Vanderbilt University
The Sepsis ClinicAl Resource And Biorepository (SCARAB) Project
Major Goals: SCARAB aims to revolutionize clinical research in sepsis by creating a comprehensive clinical dataset linked to longitudinal biospecimens and outcomes data. The project, funded by NIH, aligns with the NIGMS Priorities in Sepsis Research initiative to improve understanding and treatment of sepsis.
Funding: NIH (1 R21GM144915-01)
Collaborator: Julie Bastarache, MD; Vanderbilt University Medical Center
Lab Team
Internal
Meharry SACS and EDA team members
Ashutosh Singhal, Ph.D.
Chief Data Officer & Associate Vice-President,
Clinical Data Stewardship, Enterprise Data and Analytics Division
Assistant Professor, Biomedical Data Science,
School of Applied Computational Sciences
Meharry Medical College, Nashville, TN 37208
Kirollos Lewis
Clinical Informatics Analyst,
Department of Clinical Data Stewardship
Enterprise Data and Analytics Division (EDA)
Meharry Medical College
Meharry team members
Dr. Rajbir Singh, MBBS
Executive Director, Precision Medicine and Health Equity Trials Design
Chair, MMC IRB Committee
Clinical and Translational Research Center (CTRC)
Center for Women’s Health Center (CWHR)
Assistant Professor, Internal Medicine
School of Medicine
External
Christianne Roumie, M.D., M.P.H
Associate Professor, Internal Medicine and Pediatrics
Institute for Medicine and Public Health
Director, Masters of Public Health Program
Dept. of Health Policy
Vanderbilt University Medical Center
Russell L. Rothman, M.D., M.P.P.
Director
Institute for Medicine and Public Health
Senior Vice President, Population and Public Health
Ingram Chair in Integrative and Population Health
Professor
Internal Medicine, Pediatrics, & Health Policy
Vanderbilt University Medical Center
Julie A. Bastarache, M.D.
Associate Professor
Department of Medicine, Allergy, Pulmonary, and Critical Care Medicine
Vanderbilt University Medical Center
Gordon R. Bernard, M.D.
Executive Vice President for Research
Melinda Owens Bass Professor of Medicine
Senior Associate Dean for Clinical Sciences
Director, Vanderbilt Institute for Clinical & Translational Research
Vanderbilt University Medical Center
- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- Multimodal Environments for Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments