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 machine learning: Efficient design of AI agents for multimodal data processing with incomplete information.
-- Representation learning: Construction of efficient neural networks on high resolution data to process local and contextual information.
Education
BS, Indian Institute of Technology, Kharagpur, India
PhD, University of Southampton, UK
Publications
Subramaniam S, Napoleon MA, Lotfollahzadeh S, Kamal MH, Kurniawan H, Elsadawi M, Kenney D, Douam F, Bosmann M, Whelan S, Cabral H, Burks EJ, Zhao G, Kolachalama V, Ravid K, Chitalia V. Tryptophan metabolism reprogramming contributes to the prothrombotic milieu in mice and humans infected with SARS-CoV-2. bioRxiv. 2025 Jan 30. PMID: 39896681.
Published on 11/28/2024Ahangaran M, Dawalatabad N, Karjadi C, Glass J, Au R, Kolachalama VB. Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment. medRxiv. 2024 Nov 28. PMID: 39649616.
Published on 11/18/2024Ding H, Gifford K, Shih LC, Ho K, Rahman S, Igwe A, Low S, Popp Z, Searls E, Li Z, Madan S, Burk A, Hwang PH, Anda-Duran I, Kolachalama VB, Au R, Lin H. Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study. JMIR Form Res. 2024 Nov 18; 8:e60453. PMID: 39556805.
Published on 11/2/2024Kapadia K, Ruwali S, Malav T, Seshadri S, Seidmann A, Press DZ, Kolachalama VB. Enhancing Efficiency with an AI-Augmented Clinician in Neurology. Aging Dis. 2024 Nov 02. PMID: 39500349.
Published on 10/25/2024Ding H, Ho K, Searls E, Low S, Li Z, Rahman S, Madan S, Igwe A, Popp Z, Burk A, Wu H, Ding Y, Hwang PH, Anda-Duran I, Kolachalama VB, Gifford KA, Shih LC, Au R, Lin H. Assessment of Wearable Device Adherence for Monitoring Physical Activity in Older Adults: Pilot Cohort Study. JMIR Aging. 2024 Oct 25; 7:e60209. PMID: 39454101.
Published on 10/15/2024Gunes I, Bernstein E, Cowper SE, Panse G, Pradhan N, Camacho LD, Page N, Bundschuh E, Williams A, Carns M, Aren K, Fantus S, Volkmann ER, Bukiri H, Correia C, Wang R, Kolachalama V, Wilson FP, Mawe S, Mahoney JM, Hinchcliff M. Neural network analysis as a novel skin outcome in a trial of belumosudil in patients with systemic sclerosis. Res Sq. 2024 Oct 15. PMID: 39483897.
Published on 9/4/2024Zheng Y, Conrad RD, Green EJ, Burks EJ, Betke M, Beane JE, Kolachalama VB. Graph Attention-Based Fusion of Pathology Images and Gene Expression for Prediction of Cancer Survival. IEEE Trans Med Imaging. 2024 Sep; 43(9):3085-3097. PMID: 38587959.
Published on 7/12/2024Jia S, Bit S, Searls E, Claus LA, Fan P, Jasodanand VH, Lauber MV, Veerapaneni D, Wang WM, Au R, Kolachalama VB. MedPodGPT: A multilingual audio-augmented large language model for medical research and education. medRxiv. 2024 Jul 12. PMID: 39040167.
Published on 7/4/2024Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Pham ST, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O'Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Alvin Ang TF, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. Nat Med. 2024 Oct; 30(10):2977-2989. PMID: 38965435.
Published on 6/25/2024Amini S, Hao B, Yang J, Karjadi C, Kolachalama VB, Au R, Paschalidis IC. Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models. Alzheimers Dement. 2024 Aug; 20(8):5262-5270. PMID: 38924662.
Media Mentions
Published on 8/28/2024
AI tool improves diagnostic accuracy for dementia by 26%
Published on 7/11/2024
AI Can Diagnose 10 Types of Dementia
Published on 7/8/2024
Diagnosing different forms of dementia now possible using AI, study finds
Published on 7/5/2024
Diagnosing dementia is complicated. An algorithm could change that
Published on 7/4/2024
AI Predicts Dementia Risk from Speech Years in Advance
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
View full list of 28 media mentions.