Samuel Ajjarapu, MD

Assistant Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

Dr. Samuel J. Ajjarapu is an Assistant Professor of Medicine at Boston University Chobanian & Avedisian School of Medicine and a Computer Scientist at the MAVERIC Division of Interdisciplinary Clinical Research, Translation, and Informatics at the VA Boston Healthcare System. He earned his Medical Doctorate (MD) from Spartan Health Sciences University, St. Lucia.

Dr. Ajjarapu’s work focuses on leveraging artificial intelligence and data science to advance precision oncology and healthcare informatics. His research integrates clinical, genomic, and imaging data to improve patient outcomes, particularly in lung cancer and other malignancies. He has co-authored numerous peer-reviewed articles in journals such as Frontiers in Immunology, Patterns, and Studies in Health Technology and Informatics, contributing to innovations in clinical trial workflows, predictive modeling, and digital pathology.

Dr. Ajjarapu previously served as Co-Chair of the Digital Pathology Panel Discussion at the International Summit for AI in Healthcare and participates in multiple VA-APOLLO working groups focused on imaging and data management. He is a dedicated reviewer for the AMIA Annual Symposium and was a Visiting Scientist at Dana-Farber Cancer Institute.

Publications

  • Published 2/4/2024

    Foran DJ, Chen W, Kurc T, Gupta R, Kaczmarzyk JR, Torre-Healy LA, Bremer E, Ajjarapu S, Do N, Harris G, Stroup A, Durbin E, Saltz JH. An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on Machine Learning and Joint Kernel-based Supervised Hashing. Cancer Inform. 2024; 23:11769351231223806. PMID: 38322427.

    Read at: PubMed

  • Published 1/25/2024

    Elbers DC, Fillmore NR, La J, Tosi HM, Ajjarapu S, Dhond R, Murray K, Valley D, Shannon C, Brophy MT, Do NV. Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE). Stud Health Technol Inform. 2024 Jan 25; 310:1131-1135. PMID: 38269991.

    Read at: PubMed

  • Published 1/25/2024

    Do NV, Elbers DC, Fillmore NR, Ajjarapu S, Bergstrom SJ, Bihn J, Corrigan JK, Dhond R, Dipietro S, Dolgin A, Feldman TC, Goryachev SD, Huhmann LB, La J, Marcantonio PA, McGrath KM, Miller SJ, Nguyen VQ, Schneeloch GR, Sung FC, Swinnerton KN, Tarren AH, Tosi HM, Valley D, Vo AD, Yildirim C, Zheng C, Zwolinski R, Sarosy GA, Loose D, Shannon C, Brophy MT. Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow. Stud Health Technol Inform. 2024 Jan 25; 310:1086-1090. PMID: 38269982.

    Read at: PubMed

  • Published 11/11/2021

    Whiteaker JR, Lundeen RA, Zhao L, Schoenherr RM, Burian A, Huang D, Voytovich U, Wang T, Kennedy JJ, Ivey RG, Lin C, Murillo OD, Lorentzen TD, Thiagarajan M, Colantonio S, Caceres TW, Roberts RR, Knotts JG, Reading JJ, Kaczmarczyk JA, Richardson CW, Garcia-Buntley SS, Bocik W, Hewitt SM, Murray KE, Do N, Brophy M, Wilz SW, Yu H, Ajjarapu S, Boja E, Hiltke T, Rodriguez H, Paulovich AG. Targeted Mass Spectrometry Enables Multiplexed Quantification of Immunomodulatory Proteins in Clinical Biospecimens. Front Immunol. 2021; 12:765898. PMID: 34858420.

    Read at: PubMed

  • Published 8/17/2020

    Elbers DC, Fillmore NR, Sung FC, Ganas SS, Prokhorenkov A, Meyer C, Hall RB, Ajjarapu SJ, Chen DC, Meng F, Grossman RL, Brophy MT, Do NV. The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns (N Y). 2020 Sep 11; 1(6):100083. PMID: 33205130.

    Read at: PubMed

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