Vijaya B. Kolachalama, PhD, FAHA

Associate Professor, Medicine

Vijaya Kolachalama
617.358.7253
72 East Concord Street, Evans 636

Biography

Our mission is to create methods to fit the science and not make science fit the methods.

Specifically, we are interested in the following questions that have clinical relevance:
Neurodegeneration – How can we develop software frameworks that can assist dementia screening in various settings?
Digital pathology – How can we build clinical-grade software tools to complement the pathologist workflow?

We are also interested in the following frameworks that have computational relevance:
Domain generalization – Development of deep neural networks that can generalize well across multiple data cohorts
Representation learning – Construction of efficient neural models on high resolution data to process local and contextual information

Other Positions

  • Member, Whitaker Cardiovascular Institute, Boston University
  • Member, Evans Center for Interdisciplinary Biomedical Research, Boston University
  • Assistant Professor, Computing & Data Sciences Administration, Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences

Education

  • Indian Institute of Technology, Kharagpur, India, BS
  • University of Southampton, UK, PhD

Publications

  • Published on 1/16/2024

    De Anda-Duran I, Sunderaraman P, Searls E, Moukaled S, Jin X, Popp Z, Karjadi C, Hwang PH, Ding H, Devine S, Shih LC, Low S, Lin H, Kolachalama VB, Bazzano L, Libon DJ, Au R. Comparing Cognitive Tests and Smartphone-Based Assessment in 2 US Community-Based Cohorts. J Am Heart Assoc. 2024 Jan 16; 13(2):e032733. PMID: 38226519.

    Read at: PubMed
  • Published on 1/16/2024

    Popp Z, Low S, Igwe A, Rahman MS, Kim M, Khan R, Oh E, Kumar A, De Anda-Duran I, Ding H, Hwang PH, Sunderaraman P, Shih LC, Lin H, Kolachalama VB, Au R. Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research. J Am Heart Assoc. 2024 Jan 16; 13(2):e031247. PMID: 38226518.

    Read at: PubMed
  • Published on 1/16/2024

    Sunderaraman P, De Anda-Duran I, Karjadi C, Peterson J, Ding H, Devine SA, Shih LC, Popp Z, Low S, Hwang PH, Goyal K, Hathaway L, Monteverde J, Lin H, Kolachalama VB, Au R. Design and Feasibility Analysis of a Smartphone-Based Digital Cognitive Assessment Study in the Framingham Heart Study. J Am Heart Assoc. 2024 Jan 16; 13(2):e031348. PMID: 38226510.

    Read at: PubMed
  • Published on 12/4/2023

    Romano MF, Shih LC, Paschalidis IC, Au R, Kolachalama VB. Large Language Models in Neurology Research and Future Practice. Neurology. 2023 Dec 04; 101(23):1058-1067. PMID: 37816646.

    Read at: PubMed
  • Published on 12/1/2023

    Shazly T, Uline M, Webb C, Pederson B, Eberth JF, Kolachalama VB. Novel Payloads to Mitigate Maladaptive Inward Arterial Remodeling in Drug-Coated Balloon Therapy. J Biomech Eng. 2023 Dec 01; 145(12). PMID: 37542712.

    Read at: PubMed
  • Published on 9/25/2023

    Lteif D, Sreerama S, Bargal SA, Plummer BA, Au R, Kolachalama VB. Disease-driven domain generalization for neuroimaging-based assessment of Alzheimer's disease. medRxiv. 2023 Sep 25. PMID: 37808872.

    Read at: PubMed
  • Published on 8/2/2023

    Romano MF, Zhou X, Balachandra AR, Jadick MF, Qiu S, Nijhawan DA, Joshi PS, Mohammad S, Lee PH, Smith MJ, Paul AB, Mian AZ, Small JE, Chin SP, Au R, Kolachalama VB. Deep learning for risk-based stratification of cognitively impaired individuals. iScience. 2023 Sep 15; 26(9):107522. PMID: 37646016.

    Read at: PubMed
  • Published on 6/17/2023

    Idrees N, Haroon S, Zhang Y, Mangio JC, Siracuse JJ, Francis JM, Ganguli S, Daly K, Diamond M, Vilvendhan R, Cabral H, Dember LM, Farber A, Kolachalama VB, Chitalia VC. Contrast Venography Versus Intravenous Ultrasound in Hemodialysis Arteriovenous Access Dysfunction. Kidney Int Rep. 2023 Sep; 8(9):1887-1891. PMID: 37705907.

    Read at: PubMed
  • Published on 5/30/2023

    Miller MI, Shih LC, Kolachalama VB. Machine Learning in Clinical Trials: A Primer with Applications to Neurology. Neurotherapeutics. 2023 Jul; 20(4):1066-1080. PMID: 37249836.

    Read at: PubMed
  • Published on 5/12/2023

    Tseng AE, Carossino M, Gertje HP, O'Connell AK, Gummuluru S, Kolachalama VB, Balasuriya UBR, Connor JH, Bennett RS, Liu DX, Hensley LE, Crossland NA. Hepatic proinflammatory myeloid phenotypes are a hallmark of Ebola virus Kikwit pathogenesis in rhesus monkeys. Vet Pathol. 2023 Jul; 60(4):473-487. PMID: 37170900.

    Read at: PubMed

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