معرفی
Alaa Alashi is a Clinical Fellow at the Yale School of Medicine, specializing in Internal Medicine and Clinical Informatics. His research focuses on integrating advanced imaging technologies, artificial intelligence, and data science to improve cardiovascular diagnostics and outcomes.
- Education: MD from Damascus University Faculty of Medicine (2013), MHS in Clinical Informatics at Yale (2024), Research Fellowship at Cleveland Clinic Foundation (2019), Residency at Texas Tech University Health Sciences Center (2021)
Research Interests
- Cardiovascular imaging (SPECT, CT, PET)
- Machine learning applications in medical diagnostics
- Vascular biology and ischemia modeling
- Psychosocial factors in peripheral artery disease
- Cardiac stress testing and functional assessment
Publications (2023-2025) highlight innovations in cardiac imaging and vascular research, including AI-driven SPECT sampling, histologic outcome predictors in cardiomyopathy, and sex-specific pain profiles in PAD. Collaborative work spans Yale, Cleveland Clinic, and Texas Tech.
Scientific Awards
- 2024: Simon Dack Award (National)
- 2020: Outstanding Research Accomplishments Award
- 2018: Best Reviewer (Annals of Internal Medicine)
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