Javad Razjouyan, Ph.D., MSc
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Positions
- Assistant Professor (tenure track)
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Medicine-Epidemiology & Population Science
Institute for Clincal & Transitional Research (ICTR)
Baylor College of Medicine
Houston, TX US
- co-Director, Houston Site
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Michael E. DeBakey VA Medical Center
Big Data Scientist Training Enhancement Program (BD-STEP)
- Director
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Institute for Clinical and Translational Research (ICTR) & Center for Innovations in Quality, Effectiveness and Safety (IQuESt)
Artificial Intelligence in Health Lab (AIH-Lab)
Addresses
- 2450 Holcombe Blvd Suite 01Y (Office)
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Houston, TX 77021
United States
Phone: (713) 794-8601
https://www.houston.hsrd.research.va.gov/
- ICTR (Office)
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One Baylor Plaza, Suite D
Houston, TX 77030
United States
Phone: (713) 798-7928
javad.razjouyan@bcm.edu
Education
- BSc from Amirkabir University of Technology
- 09/2004 - Tehran, Tehran Iran
- Biomedical Engineering
- MSc from Shahed University
- 09/2007 - Tehran, Tehran Iran
- Biomedical Engineering
- PhD from Amirkabir University of Technology
- 02/2013 - Tehran, Tehran Iran
- Biomedical Engineering
- Postdoctoral Fellowship at Baylor College of Medicine
- 10/2017 - houston, Texas United States
- Fellowship at BD-STEP MEDVAMC
- 05/2019 - houston, Texas United States
Professional Statement
Javad Razjouyan, Ph.D., is an Assistant Professor (tenure track) of medicine for Health Services Research and the Institute for Clinical & Translational Research (ICTR) at Baylor College of Medicine (BCM). He is also a health research scientist at Implementation Science & Innovation Core, Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. He is faculty member of the Big Data-Scientist Training Enhancement Program (BD-STEP) of the Department of Veterans Affairs (VA) and the National Cancer Institute (NCI) and he is adjunct Assistant Professor of Epidemiology at UTHealth Houston School of Public Health.Dr. Razjouyan serving as the Director of Artificial Intelligence in Health Lab (AIH-Lab) at BCM and co-director of BD-STEP advanced fellowship program, Houston site.
He has published more than 40 scientific publications in peer-reviewed journals, more than 50 conference proceedings or abstracts, three filled patents, and a textbook for undergraduate students in biomedical engineering. He received a young investigator award from the Gerontological Society of America conference in 2014 as digital biomarker development. He also won a junior investigator travel award at the American Heart Association - Quality of Care & Outcome Research 2019 as he developed an EMR based frailty index by machine learning techniques. He mentored three advanced fellows at the BD-STEP program on used of EMR and performing advanced machine learning algorithms. Currently, He is mentoring three advanced post-doctoral fellows at the AIH-lab. His post-doctoral fellows use artificial intelligence (AI), machine learning (ML) algorithms, and natural language processing (NLP) tools on various medical fields such as sleep medicine, psychology, dementia, heart failure, and frailty.
Websites
Selected Publications
- "Association of Glucose-6-Phosphate Dehydrogenase Deficiency With Outcomes in US Veterans With COVID-19." ; Pubmed PMID: 36988953
- "Comparison of collaborative goal setting with enhanced education for managing diabetes-associated distress and hemoglobin A1C levels: A randomized clinical trial.." ; Pubmed PMID: 35507345
- "Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning." ; Pubmed PMID: 36566620
- "Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling.." ;
- "Inflammatory Biomarkers Differ among Hospitalized Veterans Infected with Alpha, Delta, and Omicron SARS-CoV-2 Variants." ; Pubmed PMID: 36833680
- "Measuring Adoption of Patient Priorities–Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model.." ; Pubmed PMID: 33605893
- "Mortality Patterns Associated with Central Sleep Apnea among Veterans: A Large, Retrospective, Longitudinal Report." ; Pubmed PMID: 36375082
- "Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis." ; Pubmed PMID: 36828809
- "Obstructive sleep apnea modulates clinical outcomes post-acute myocardial infarction: A large longitudinal veterans' dataset report." ; Pubmed PMID: 36924849
- "Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre–and Peri–COVID-19 Pandemic Retrospective Study.." ; Pubmed PMID: 36417585
- "Smoking status and factors associated with COVID-19 in-hospital mortality among US veterans.." ; Pubmed PMID: 34693967
- "Validation of a natural language processing algorithm for the extraction of the sleep parameters from the polysomnography reports.." ; Pubmed PMID: 36292283
Funding
- Developing Frailty Trajectory for Heart Failure Patients Using Advanced Machine Learning - #1K25HL152006-01 (07/01/2020 - 07/01/2025) NIH-NHLBI
- Developing AI/ML algorithm to address health disparity in Cancer Patients - #OD032581-01S1 Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD)
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