Vijaya B. Kolachalama, PhD, FAHA

Assistant Professor, Medicine

Vijaya Kolachalama
72 East Concord Street, Evans 636


Kolachalama laboratory research areas:

1) Machine learning and computer vision for precision medicine:

Artificial intelligence is poised to help deliver precision medicine, yet achieving this goal is nontrivial. Machine learning and image processing techniques along with developments in software and hardware technologies allow us to consider questions across scales. We leverage these tools for pattern recognition and to develop biomedical technologies that have diagnostic relevance. Current application areas include Alzheimer’s disease, cancer, chronic kidney disease and osteoarthritis.

2) Device-artery interactions, interfacial mechanics and drug delivery:

We use a multidisciplinary approach to quantify device-artery interactions and the interfacial mechanisms driving the performance of endovascular devices. Previous studies by us and our collaborators have explained the role of physiologic factors in modulating spatiotemporal arterial distribution patterns for drug-eluting devices as a function of intrinsic device design, relative device position and pulsatile nature of blood flow. We have extended models simulating idealized settings of physiology to real world issues and further examine arterial tissue response that varies due to procedural settings, device composition, arterial wall ultrastructure and disease, physiologic changes within complex vascular anatomies, vascular injury and the mode of drug delivery.

Other Positions

  • Member, Whitaker Cardiovascular Institute, Boston University
  • Member, Evans Center for Interdisciplinary Biomedical Research, Boston University


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

Classes Taught

  • GMSMS650


  • Published on 5/1/2020

    Qiu S, Joshi PS, Miller MI, Xue C, Zhou X, Karjadi C, Chang GH, Joshi AS, Dwyer B, Zhu S, Kaku M, Zhou Y, Alderazi YJ, Swaminathan A, Kedar S, Saint-Hilaire MH, Auerbach SH, Yuan J, Sartor EA, Au R, Kolachalama VB. Development and validation of an interpretable deep learning framework for Alzheimer's disease classification. Brain. 2020 May 01. PMID: 32357201.

    Read at: PubMed
  • Published on 4/21/2020

    Azar D, Lott JT, Jabbarzadeh E, Shazly T, Kolachalama VB. Surface Modification Using Ultraviolet-Ozone Treatment Enhances Acute Drug Transfer in Drug-Coated Balloon Therapy. Langmuir. 2020 May 05; 36(17):4645-4653. PMID: 32271583.

    Read at: PubMed
  • Published on 3/26/2020

    Richard D, Liu Z, Cao J, Kiapour AM, Willen J, Yarlagadda S, Jagoda E, Kolachalama VB, Sieker JT, Chang GH, Muthuirulan P, Young M, Masson A, Konrad J, Hosseinzadeh S, Maridas DE, Rosen V, Krawetz R, Roach N, Capellini TD. Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk. Cell. 2020 Apr 16; 181(2):362-381.e28. PMID: 32220312.

    Read at: PubMed
  • Published on 2/13/2020

    Chang GH, Felson DT, Qiu S, Guermazi A, Capellini TD, Kolachalama VB. Assessment of knee pain from MR imaging using a convolutional Siamese network. Eur Radiol. 2020 Feb 13. PMID: 32055951.

    Read at: PubMed
  • Published on 12/31/2019

    Wollacott AM, Xue C, Qin Q, Hua J, Bohnuud T, Viswanathan K, Kolachalama VB. Quantifying the nativeness of antibody sequences using long short-term memory networks. Protein Eng Des Sel. 2019 12 31; 32(7):347-354. PMID: 31504835.

    Read at: PubMed
  • Published on 12/28/2019

    Joshi PS, Heydari M, Kannan S, Alvin Ang TF, Qin Q, Liu X, Mez J, Devine S, Au R, Kolachalama VB. Temporal association of neuropsychological test performance using unsupervised learning reveals a distinct signature of Alzheimer's disease status. Alzheimers Dement (N Y). 2019; 5:964-973. PMID: 31921970.

    Read at: PubMed
  • Published on 10/30/2019

    Walker JA, Richards S, Belghasem ME, Arinze N, Yoo SB, Tashjian JY, Whelan SA, Lee N, Kolachalama VB, Francis J, Ravid K, Sherr D, Chitalia VC. Temporal and tissue-specific activation of aryl hydrocarbon receptor in discrete mouse models of kidney disease. Kidney Int. 2020 Mar; 97(3):538-550. PMID: 31932072.

    Read at: PubMed
  • Published on 9/5/2019

    Azar D, Torres WM, Davis LA, Shaw T, Eberth JF, Kolachalama VB, Lessner SM, Shazly T. Geometric determinants of local hemodynamics in severe carotid artery stenosis. Comput Biol Med. 2019 Nov; 114:103436. PMID: 31521900.

    Read at: PubMed
  • Published on 8/2/2019

    Zhu H, Tao Q, Ang TFA, Massaro J, Gan Q, Salim S, Zhu RY, Kolachalama VB, Zhang X, Devine S, Auerbach SH, DeCarli C, Au R, Qiu WQ. Association of Plasma Amylin Concentration With Alzheimer Disease and Brain Structure in Older Adults. JAMA Netw Open. 2019 Aug 02; 2(8):e199826. PMID: 31433485.

    Read at: PubMed
  • Published on 5/2/2019

    Chang GH, Azar DA, Lyle C, Chitalia VC, Shazly T, Kolachalama VB. Intrinsic coating morphology modulates acute drug transfer in drug-coated balloon therapy. Sci Rep. 2019 05 02; 9(1):6839. PMID: 31048704.

    Read at: PubMed

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