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

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




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 dementia screening in various 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:
Domain generalization – Development of deep neural networks that can generalize well across multiple data cohorts
Representation learning – Construction of efficient neural models on high resolution data to process local and contextual information

Member
Boston University
Whitaker Cardiovascular Institute


Member
Boston University
Evans Center for Interdisciplinary Biomedical Research


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




Mechanisms of drug-coated balloon therapy
09/01/2021 - 08/31/2025 (PI)
NIH/National Heart, Lung, and Blood Institute
1R01HL159620-01

Integrated Digital Technology Platform for Optimization of Precision Brain Health
07/01/2020 - 06/30/2024 (Multi-PI)
PI: Vijaya B. Kolachalama, PhD, FAHA
American Heart Association


Biomarkers of lung squamous premalignant progression using deep learning on pathology images
01/01/2022 - 12/31/2022 (Multi-PI)
PI: Vijaya B. Kolachalama, PhD, FAHA
Johnson & Johnson Enterprise Innovation, Inc.


PRISTINE: Pre-cancer histology identification of Endobronchial biopsies using deep learning
09/01/2020 - 08/31/2022 (Multi-PI)
PI: Vijaya B. Kolachalama, PhD, FAHA
NIH/National Cancer Institute
1R21CA253498-01

Predicting gene expression from pathology images in diabetic kidney disease
07/01/2021 - 06/30/2022 (Subcontract PI)
Augusta University NIH NIDDK
5U24DK115255-04

Biomarkers of lung squamous premalignant progression using deep learning on pathology images
06/01/2020 - 12/31/2021 (Multi-PI)
PI: Vijaya B. Kolachalama, PhD, FAHA
Johnson & Johnson Enterprise Innovation, Inc.


Mechanisms of drug-coated balloon therapy
07/01/2017 - 06/30/2021 (PI)
American Heart Association


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




Title

Predicting gene expression from pathology images in diabetic kidney disease
07/01/2021 - 06/30/2022 (PI)
NIDDK - DIABETIC COMPLICATIONS CONSORTIUM (DiaComp)

Toffler Scholar in Neuroscience
01/01/2021 - 12/31/2021 (PI)
The Karen Toffler Charitable Trust

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. Qiu S, Miller MI, Joshi PS, Lee JC, Xue C, Ni Y, Wang Y, De Anda-Duran I, Hwang PH, Cramer JA, Dwyer BC, Hao H, Kaku MC, Kedar S, Lee PH, Mian AZ, Murman DL, O'Shea S, Paul AB, Saint-Hilaire MH, Alton Sartor E, Saxena AR, Shih LC, Small JE, Smith MJ, Swaminathan A, Takahashi CE, Taraschenko O, You H, Yuan J, Zhou Y, Zhu S, Alosco ML, Mez J, Stein TD, Poston KL, Au R, Kolachalama VB. Multimodal deep learning for Alzheimer's disease dementia assessment. Nat Commun. 2022 Jun 20; 13(1):3404.View Related Profiles. PMID: 35725739; PMCID: PMC9209452; DOI: 10.1038/s41467-022-31037-5;
     
  2. Zheng Y, Gindra RH, Green EJ, Burks EJ, Betke M, Beane JE, Kolachalama VB. A graph-transformer for whole slide image classification. IEEE Trans Med Imaging. 2022 May 20; PP.View Related Profiles. PMID: 35594209; DOI: 10.1109/TMI.2022.3176598;
     
  3. Kolachalama VB. Machine learning and pre-medical education. Artif Intell Med. 2022 Jul; 129:102313. PMID: 35659392
     
  4. De Anda-Duran I, Alonso CF, Libon DJ, Carmichael OT, Kolachalama VB, Suglia SF, Au R, Bazzano LA. Carotid Intima-Media Thickness and Midlife Cognitive Function: Impact of Race and Social Disparities in the Bogalusa Heart Study. Neurology. 2022 May 03; 98(18):e1828-e1836.View Related Profiles. PMID: 35228334
     
  5. Au R, Kolachalama VB, Paschalidis IC. Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Front Digit Health. 2021; 3:751629.View Related Profiles. PMID: 35146485; PMCID: PMC8822623; DOI: 10.3389/fdgth.2021.751629;
     
  6. Romano MF, Kolachalama VB. Deep learning for subtyping the Alzheimer's disease spectrum. Trends Mol Med. 2022 02; 28(2):81-83.View Related Profiles. PMID: 34996710
     
  7. Chang GH, Park LK, Le NA, Jhun RS, Surendran T, Lai J, Seo H, Promchotichai N, Yoon G, Scalera J, Capellini TD, Felson DT, Kolachalama VB. Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes. Arthritis Rheumatol. 2021 12; 73(12):2240-2248.View Related Profiles. PMID: 33973737; PMCID: PMC8581065; DOI: 10.1002/art.41808;
     
  8. Xue C, Karjadi C, Paschalidis IC, Au R, Kolachalama VB. Detection of dementia on voice recordings using deep learning: a Framingham Heart Study. Alzheimers Res Ther. 2021 08 31; 13(1):146.View Related Profiles. PMID: 34465384; PMCID: PMC8409004; DOI: 10.1186/s13195-021-00888-3;
     
  9. Zhang JD, Baker MJ, Liu Z, Kabir KMM, Kolachalama VB, Yates DH, Donald WA. Medical diagnosis at the point-of-care by portable high-field asymmetric waveform ion mobility spectrometry: a systematic review and meta-analysis. J Breath Res. 2021 07 28; 15(4). PMID: 34252887
     
  10. 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 Severe Acute Respiratory Syndrome Coronavirus 2 Nucleic Acid and Organ Damage in Coronavirus 2019 Patients: A Cohort Study. Clin Infect Dis. 2021 07 01; 73(1):68-75. PMID: 32720678; PMCID: PMC7454386; DOI: 10.1093/cid/ciaa1085;
     
Showing 10 of 59 results. Show More

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

Bar chart showing 59 publications over 15 distinct years, with a maximum of 10 publications in 2019

YearPublications
20072
20082
20092
20112
20123
20132
20142
20152
20164
20172
20186
201910
20205
20219
20226


Recent (within 3 months)

Two Technologies That Can Make Diagnosing Dementia Easier for Doctors and Patients

Mirage News 6/25/2022

AI may detect dementia just as well as doctors: study

The Hill 6/21/2022

Artificial intelligence may diagnose dementia as accurately as clinicians

United Press International 6/20/2022

Researchers develop novel AI algorithm for digital pathology analysis

Longevity Technology 5/26/2022

Researchers Create New AI-Based Techniques for Analyzing Digital Pathology Data

AzoRobotics 5/24/2022

Novel AI algorithm developed for assessing digital pathology data

News Medical 5/23/2022

Older

Artificial intelligence aids nephrologists in directing kidney care

Healio 6/10/2021

New Measure to Determine Severity of Knee Osteoarthritis with AI

AZO Robotics 5/13/2021

Artificial Intelligence Boosts Alzheimer’s Disease Classification

healthitanalytics 3/16/2021

AI enhances brain MRI scans to better classify Alzheimer’s disease

Health Imaging 3/15/2021

AI Approach Helps Classify Alzheimer’s Disease with Improved Accuracy

AZO Robotics 3/10/2021

Biogen’s New Alzheimer’s Drug Is “Hugely Important,” “One of the Biggest Moments” in 20 Years

The Brink 11/6/2020

New AI Algorithm Identifies Alzheimer’s Disease, Predicts Risk For Disease

Study Finds 5/19/2020

Algoritm Beats Experts In Alzheimer's Diagnosis

Futurity 5/7/2020

Deep Learning AI Accurately Predicts and Diagnoses Alzheimer’s Disease

Genetic Engineering & Biotechnology News 5/5/2020

Know What’s Good for your Health? Artificial Intelligence

BU Today 5/29/2019

Could Better Materials Lead to Better Outcomes with DCBs?

Medical Device and Diagnostic Industry 5/3/2019

Multimodal fusion model can better predict cognitive impairment

News Medical Life Sciences 10/4/2018

2021 Karen Toffler Charitable Trust: Toffler Scholar in Neuroscience
2021 Department of Medicine, Boston University School of Medicine: Evans Junior Faculty Merit Award
2020 Faculty of Computing & Data Sciences, Boston University: Founding Member
2020 Department of Medicine, Boston University School of Medicine: Outstanding Research Collaborator
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

Available to Mentor as: (Review Mentor Role Definitions):
  • Advisor
  • Career Mentor
  • Co-Mentor or Peer Mentor
  • Diversity Mentor
  • Education Mentor
  • Project Mentor
  • Research / Scholarly Mentor
  • Work / Life Integration Mentor
Contact for Mentoring:

72 East Concord Street, Evans 636
Boston MA 02118
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