Kolachalama laboratory research areas:
1) Machine learning and computer vision for precision medicine:
Artificial intelligence is poised to help deliver precision medicine, yet achieving this goal is nontrivial. Machine learning and image processing techniques along with developments in software and hardware technologies allow us to consider questions across scales. We leverage these tools for pattern recognition and understanding pathophysiological mechanisms that would pave way towards developing biomedical technologies that are of diagnostic and prognostic relevance. Current application areas include Alzheimer’s disease, cardiovascular disease, chronic kidney disease, colorectal cancer and osteoarthritis.
2) Device-artery interactions, interfacial mechanics and drug delivery:
We use a multidisciplinary approach to quantify device-artery interactions and the interfacial mechanisms driving the performance of these devices. Our main focus has been on 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.
- Indian Institute of Technology, Kharagpur, India, BS
- University of Southampton, UK, PhD
- Published on 5/2/2019
Chang GH, Azar DA, Lyle C, Chitalia VC, Shazly T, Kolachalama VB. Intrinsic coating morphology modulates acute drug transfer in drug-coated balloon therapy. Sci Rep. 2019 May 02; 9(1):6839. PMID: 31048704.
- Published on 4/24/2019
Lee Y, Kim MT, Rhodes G, Sack K, Son SJ, Rich CB, Kolachalama VB, Gabel CV, Trinkaus-Randall V. Sustained Ca2+ mobilizations: A quantitative approach to predict their importance in cell-cell communication and wound healing. PLoS One. 2019; 14(4):e0213422. PMID: 31017899.
- Published on 4/2/2019
Gopal DM, Ayalon N, Wang YC, Siwik D, Sverdlov A, Donohue C, Perez A, Downing J, Apovian C, Silva V, Panagia M, Kolachalama V, Ho JE, Liang CS, Gokce N, Colucci WS. Galectin-3 Is Associated With Stage B Metabolic Heart Disease and Pulmonary Hypertension in Young Obese Patients. J Am Heart Assoc. 2019 Apr 02; 8(7):e011100. PMID: 30929550.
- Published on 2/26/2019
Xue C, Lott JT, Kolachalama VB. Estimation of Size and Contact Angle of Evaporating Sessile Liquid Drops Using Texture Analysis. Langmuir. 2019 Mar 12; 35(10):3672-3679. PMID: 30707587.
- Published on 9/28/2018
Qiu S, Chang GH, Panagia M, Gopal DM, Au R, Kolachalama VB. Fusion of deep learning models of MRI scans, Mini-Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment. Alzheimers Dement (Amst). 2018; 10:737-749. PMID: 30480079.
- Published on 7/17/2018
Kumaradevan S, Lee SY, Richards S, Lyle C, Zhao Q, Tapan U, Jiangliu Y, Ghumman S, Walker J, Belghasem M, Arinze N, Kuhnen A, Weinberg J, Francis J, Hartshorn K, Kolachalama VB, Cifuentes D, Rahimi N, Chitalia VC. c-Cbl Expression Correlates with Human Colorectal Cancer Survival and Its Wnt/ß-Catenin Suppressor Function Is Regulated by Tyr371 Phosphorylation. Am J Pathol. 2018 Aug; 188(8):1921-1933. PMID: 30029779.
- Published on 1/17/2018
Kolachalama VB, Shashar M, Alousi F, Shivanna S, Rijal K, Belghasem ME, Walker J, Matsuura S, Chang GH, Gibson CM, Dember LM, Francis JM, Ravid K, Chitalia VC. Uremic Solute-Aryl Hydrocarbon Receptor-Tissue Factor Axis Associates with Thrombosis after Vascular Injury in Humans. J Am Soc Nephrol. 2018 Mar; 29(3):1063-1072. PMID: 29343519.
- Published on 1/11/2018
Kolachalama VB, Singh P, Lin CQ, Mun D, Belghasem ME, Henderson JM, Francis JM, Salant DJ, Chitalia VC. Association of Pathological Fibrosis With Renal Survival Using Deep Neural Networks. Kidney Int Rep. 2018 Mar; 3(2):464-475. PMID: 29725651.
- Published on 1/1/2018
Li J, Ogrodnik M, Kolachalama VB, Lin H, Au R. Assessment of the Mid-Life Demographic and Lifestyle Risk Factors of Dementia Using Data from the Framingham Heart Study Offspring Cohort. J Alzheimers Dis. 2018; 63(3):1119-1127. PMID: 29710704.
- Published on 11/22/2017
Shashar M, Belghasem ME, Matsuura S, Walker J, Richards S, Alousi F, Rijal K, Kolachalama VB, Balcells M, Odagi M, Nagasawa K, Henderson JM, Gautam A, Rushmore R, Francis J, Kirchhofer D, Kolandaivelu K, Sherr DH, Edelman ER, Ravid K, Chitalia VC. Targeting STUB1-tissue factor axis normalizes hyperthrombotic uremic phenotype without increasing bleeding risk. Sci Transl Med. 2017 Nov 22; 9(417). PMID: 29167396.
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