Vijaya B. Kolachalama, PhD, FAHA
Assistant Professor
Boston University School of Medicine
Dept of Medicine
Computational Biomedicine

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

Kolachalama laboratory research areas:

Phenotyping neurodegeneration:
There is an urgent need to develop tools for early and accurate detection of neurodegenerative diseases. We build advanced machine learning frameworks that allow us to process multimodal data to identify precise patient-specific signatures of various disorders such as Alzheimer's disease. We have experience dealing with large data cohorts such as the Framingham Heart Study and established several computational pipelines to efficiently process volumetric images of the brain and other modes of data and use them for further analysis.

Digital pathology:
Machine learning and image processing algorithms are transforming the way by which medical images are analyzed to uncover hidden patterns and facilitate patient diagnosis as well as to improve the delivery and effectiveness of patient care. This is especially the case in the field of digital pathology where several researchers are employing these powerful techniques to address specific questions in a spectrum of disease scenarios. We develop computational frameworks to assist the pathologist.

Musculoskeletal diseases:
Our goal is to develop advanced machine learning frameworks to bring efficiency to the analysis of large-scale population studies such as Osteoarthritis Initiative (OAI) and Multicenter osteoarthritis (MOST) study. We are particularly interested to quantify structures that are responsible for pain and factors that contribute to the progression of degenerative musculoskeletal diseases.

Devices, drugs and interfaces:
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.

Boston University
Whitaker Cardiovascular Institute

Boston University
Evans Center for Interdisciplinary Biomedical Research

Founding Assistant Professor
Boston University School of Medicine, Graduate Medical Sciences
Computing & Data Sciences Administration

2020 Faculty of Computing & Data Sciences, Boston University: Founding Member
2019 Institute for Health System Innovation & Policy, Boston University: Institute Fellow
2019 American Heart Association: Fellow
2018 Hariri Institute for Computing and Computational Science & Engineering, Boston University: Junior Faculty Fellow
2008 United States Food and Drug Administration: ORISE Fellowship
2005 Massachusetts Institute of Technology: Young Researcher Fellowship

Mechanisms of drug-coated balloon therapy
07/01/2017 - 06/30/2020 (PI)
American Heart Association

Novel antibody design using deep learning
01/01/2018 - 12/31/2019 (PI)
Visterra, Inc.


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Xu D, Zhou F, Sun W, Chen L, Lan L, Li H, Xiao F, Li Y, Kolachalama VB, Li Y, Wang X, Xu H. Relationship Between serum SARS-CoV-2 nucleic acid(RNAemia) and Organ Damage in COVID-19 Patients: A Cohort Study. Clin Infect Dis. 2020 Jul 28. PMID: 32720678
  2. Chang GH, Felson DT, Qiu S, Guermazi A, Capellini TD, Kolachalama VB. Correction to: Assessment of knee pain from MR imaging using a convolutional Siamese network. Eur Radiol. 2020 Jul 22.View Related Profiles. PMID: 32700018
  3. 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 Jun 01; 143(6):1920-1933.View Related Profiles. PMID: 32357201
  4. 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 05 05; 36(17):4645-4653. PMID: 32271583
  5. 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
  6. 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 Jun; 30(6):3538-3548.View Related Profiles. PMID: 32055951
  7. 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
  8. 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.View Related Profiles. PMID: 31921970
  9. 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 03; 97(3):538-550.View Related Profiles. PMID: 31932072
  10. 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 11; 114:103436. PMID: 31521900
Showing 10 of 45 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 45 publications over 13 distinct years, with a maximum of 10 publications in 2019

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72 East Concord Street, Evans 636
Boston MA 02118
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