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Draft:Vijaya B Kolachalama

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  • Comment: I do not see a strong enough publication record, and FAHA does not look that exclusive. I think it would be wiser to wait a few years. Ldm1954 (talk) 14:07, 9 December 2024 (UTC)


Vijaya Kolachalama is an Associate Professor in the Departments of Medicine & Computer Science at Boston University.[1] He is a founding member of the Faculty of Computing & Data Sciences at Boston University. Before joining Boston University, he was a Principal Member of Technical Staff at Draper Laboratory. Prior to that, he was a Postdoctoral Fellow at MIT, and served as an ORISE Fellow at the US Food & Drug Administration. He obtained a PhD from the University of Southampton, UK in 2006, and an undergraduate degree from the Indian Institute of Technology, Kharagpur in 2002.

His laboratory focuses broadly on advancing medical AI,[2][3][4][5] with a strong emphasis on integrating and unifying diverse multimodal clinical data. This includes leveraging medical imaging, laboratory test results, patient histories, and other clinical assessments to create innovative solutions that address complex healthcare challenges. The lab's work is rooted in developing methods that combine these data streams to uncover new insights and improve overall healthcare delivery.

Focusing specifically on neurology, the lab is pioneering AI-based assistive tools to tackle the global shortage of neurologists. These tools aim to enhance diagnostic precision, streamline clinical workflows, and improve patient outcomes, particularly in resource-limited settings where access to neurological expertise is scarce. By bridging critical gaps in neurological care, the lab seeks to make advanced AI technologies widely accessible. His work has been published in reputed journals including Brain,[6] Cell,[7] Circulation,[8][9] Nature Communications,[10] Nature Medicine,[11] Neurology,[12] and Science Translational Medicine.[13]

Kolachalama authored some of the pioneering articles advocating for integrating machine learning education into medical[14] and pre-medical[15] curricula, emphasizing the importance of preparing the next generation of healthcare professionals for a data-driven future. He serves on the editorial board of Scientific Reports, Journal of Alzheimer's Disease and npj Biomedical Innovations. Kolachalama is on the scientific advisory board for Altoida Inc.,[16] which is a digital cognitive assessment company.

Awards and honors

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Kolachalama has co-authored over 100 publications in peer-reviewed journals and conferences.

Selected honors/awards received by Kolachalama include:

  • 2024: Young Alumni Achiever Award, Indian Institute of Technology, Kharagpur
  • 2023: Publication of the year[10], International Society to Advance Alzheimer’s Research and Treatment (ISTAART) -- Artificial Intelligence for Precision Medicine Professional Interest Area
  • 2022: Senior Member, The Institute of Electrical and Electronics Engineers (IEEE)
  • 2021: Toffler Scholar in Neuroscience, The Karen Toffler Charitable Trust[17]
  • 2019: Fellow, American Heart Association

References

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  1. ^ "Kolachalama Laboratory - Home". vkola-lab.github.io. Retrieved 2024-12-02.
  2. ^ hhill (2019-10-30). "The Computer Will See You Now". MGHPCC. Retrieved 2024-12-04.
  3. ^ "AI for Dementia Assessment". sc23. Retrieved 2024-12-04.
  4. ^ "Pre-cancer Phenotyping Using Transcriptomics and Digital Pathology | CBIIT". datascience.cancer.gov. Retrieved 2024-12-04.
  5. ^ Experts, B. U. (2020-09-18). "Boston University's Top Five Alzheimer's Research Breakthroughs". Medium. Retrieved 2024-12-04.
  6. ^ Qiu, Shangran; Joshi, Prajakta S; et al. (2020). "Development and validation of an interpretable deep learning framework for Alzheimer's disease classification". Brain. 143 (6): 1920–1933. doi:10.1093/brain/awaa137. ISSN 0006-8950. PMC 7296847. PMID 32357201.
  7. ^ Richard, Daniel; Liu, Zun; et al. (April 2020). "Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk". Cell. 181 (2): 362–381.e28. doi:10.1016/j.cell.2020.02.057. PMC 7179902. PMID 32220312.
  8. ^ Kolandaivelu, Kumaran; Swaminathan, Rajesh; et al. (2011-04-05). "Stent Thrombogenicity Early in High-Risk Interventional Settings Is Driven by Stent Design and Deployment and Protected by Polymer-Drug Coatings". Circulation. 123 (13): 1400–1409. doi:10.1161/CIRCULATIONAHA.110.003210. ISSN 0009-7322. PMC 3131199. PMID 21422389.
  9. ^ Kolachalama, Vijaya B.; Pacetti, Stephen D.; et al. (2013-05-21). "Mechanisms of Tissue Uptake and Retention in Zotarolimus-Coated Balloon Therapy". Circulation. 127 (20): 2047–2055. doi:10.1161/CIRCULATIONAHA.113.002051. ISSN 0009-7322. PMC 3748613. PMID 23584359.
  10. ^ a b Qiu, Shangran; Miller, Matthew I.; et al. (2022-06-20). "Multimodal deep learning for Alzheimer's disease dementia assessment". Nature Communications. 13 (1): 3404. Bibcode:2022NatCo..13.3404Q. doi:10.1038/s41467-022-31037-5. ISSN 2041-1723. PMC 9209452. PMID 35725739.
  11. ^ Xue, Chonghua; Kowshik, Sahana S.; et al. (October 2024). "AI-based differential diagnosis of dementia etiologies on multimodal data". Nature Medicine. 30 (10): 2977–2989. doi:10.1038/s41591-024-03118-z. ISSN 1078-8956. PMC 11485262. PMID 38965435.
  12. ^ Romano, Michael F.; et al. (2023-12-05). "Large Language Models in Neurology Research and Future Practice". Neurology. 101 (23): 1058–1067. doi:10.1212/WNL.0000000000207967. ISSN 0028-3878. PMC 10752640. PMID 37816646.
  13. ^ Shashar, Moshe; Belghasem, Mostafa E.; et al. (2017-11-22). "Targeting STUB1–tissue factor axis normalizes hyperthrombotic uremic phenotype without increasing bleeding risk". Science Translational Medicine. 9 (417). doi:10.1126/scitranslmed.aam8475. ISSN 1946-6234. PMC 5854487. PMID 29167396.
  14. ^ Kolachalama, Vijaya B.; Garg, Priya S. (2018-09-27). "Machine learning and medical education". npj Digital Medicine. 1 (1): 54. doi:10.1038/s41746-018-0061-1. ISSN 2398-6352. PMC 6550167. PMID 31304333.
  15. ^ Kolachalama, Vijaya B. (2022-07-01). "Machine learning and pre-medical education". Artificial Intelligence in Medicine. 129: 102313. doi:10.1016/j.artmed.2022.102313. ISSN 0933-3657. PMC 10375468. PMID 35659392.
  16. ^ "Our Leadership Team | Altoida". 2022-11-17. Retrieved 2024-12-04.
  17. ^ "Vijaya Kolachalama". Toffler Trust. Retrieved 2024-12-02.
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