Vijaya B. Kolachalama PhD, FAHA
Associate Professor, Computational Biomedicine
Assistant Professor, Computing & Data Sciences Administration
72 East Concord Street | (617) 358-7253vkola@bu.edu
Sections
Computational Biomedicine
Centers
Whitaker Cardiovascular Institute
Evans Center for Interdisciplinary Biomedical Research
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 neurology practitioners in various real-world 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:
-- Multimodal learning: Efficient design of generalist AI models that can process multiple modalities of data.
-- Representation learning: Construction of efficient neural models on high resolution data to process local and contextual information.
Education
BS, Indian Institute of Technology, Kharagpur, India
PhD, University of Southampton, UK
Publications
Bacon KL, Felson DT, Jafarzadeh SR, Kolachalama VB, Hausdorff JM, Gazit E, Stefanik JJ, Corrigan P, Segal NA, Lewis CE, Nevitt MC, Kumar D. Gait alterations associated with worsening knee pain and physical function: a machine-learning approach with wearable sensors in the Multicenter Osteoarthritis Study. Arthritis Care Res (Hoboken). 2024 Mar 24. PMID: 38523250.
Published on 2/22/2024Surendran T, Park LK, Lauber MV, Cha B, Jhun RS, Capellini TD, Kumar D, Felson DT, Kolachalama VB. Survival analysis on subchondral bone length for total knee replacement. Skeletal Radiol. 2024 Feb 22. PMID: 38388702.
Published on 2/15/2024Ding H, Kim M, Searls E, Sunderaraman P, De Anda-Duran I, Low S, Popp Z, Hwang PH, Li Z, Goyal K, Hathaway L, Monteverde J, Rahman S, Igwe A, Kolachalama VB, Au R, Lin H. Digital neuropsychological measures by defense automated neurocognitive assessment: reference values and clinical correlates. Front Neurol. 2024; 15:1340710. PMID: 38426173.
Published on 2/5/2024Ahangaran M, Sun E, Le K, Sun J, Wang WM, Tan TH, Burdine LJ, Dvanajscak Z, Cassol CA, Sharma S, Kolachalama VB. A web-based tool for real-time adequacy assessment of kidney biopsies. medRxiv. 2024 Feb 05. PMID: 38370740.
Published on 1/16/2024De 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.
Published on 1/16/2024Popp 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.
Published on 1/16/2024Sunderaraman 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.
Published on 12/4/2023Romano 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.
Published on 12/1/2023Shazly 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.
Published on 9/25/2023Lteif 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.
Media Mentions
Published on 9/19/2023
Published on 8/10/2023
From mild cognitive impairment to Alzheimer's: Predicting risk
Published on 8/4/2023
BU Researchers Look To Quantify The Risk Of Alzheimer's Disease Progression
Published on 12/13/2022
Best of The Brink 2022: BU’s Most-Read Science and Research Stories
Published on 8/3/2022
Published on 6/25/2022
Two Technologies That Can Make Diagnosing Dementia Easier for Doctors and Patients
Published on 6/21/2022
AI may detect dementia just as well as doctors: study
Published on 6/20/2022
Artificial intelligence may diagnose dementia as accurately as clinicians
Published on 5/26/2022
Researchers develop novel AI algorithm for digital pathology analysis
Published on 5/24/2022
Researchers Create New AI-Based Techniques for Analyzing Digital Pathology Data
View full list of 23 media mentions.