Vijaya B. Kolachalama, PhD, FAHA

Assistant Professor, Medicine

Vijaya Kolachalama
617.358.7253
72 East Concord Street, Evans 636

Biography

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.

Other Positions

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

Education

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

Classes Taught

  • GMSMS650

Publications

  • Published on 12/1/2020

    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 Dec; 30(12):6968. PMID: 32700018.

    Read at: PubMed
  • Published on 7/28/2020

    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.

    Read at: PubMed
  • Published on 6/1/2020

    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 06 01; 143(6):1920-1933. 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 05 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 04 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 Jun; 30(6):3538-3548. 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 03; 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 11; 114:103436. PMID: 31521900.

    Read at: PubMed

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