Draft:Vijaya B Kolachalama
Submission declined on 3 December 2024 by Dcotos (talk).
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| Submission declined on 2 December 2024 by Ibjaja055 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to Declined by Ibjaja055 30 hours ago.
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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 and a Postdoctoral Fellow at MIT, where he also served as an ORISE Fellow at the US Food & Drug Administration.
His laboratory is at the forefront of efforts to integrate and unify diverse multimodal clinical data, ranging from imaging and laboratory results to patient histories and cognitive assessments. By leveraging these data streams, the lab is developing advanced AI-based assistive tools aimed at addressing the global shortage of neurologists. These tools are designed to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes, particularly in underserved regions where access to neurological expertise is limited. Through this work, the lab aspires to bridge critical gaps in neurological care and make cutting-edge AI technologies widely accessible. His work has been published in reputed journals including Brain,[2] Circulation,[3] Nature Communications,[4] Nature Medicine,[5] and Neurology.[6]
Kolachalama authored some of the pioneering articles advocating for integrating machine learning education into medical[7] and pre-medical[8] 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.
Awards and honors
[edit]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 (Multimodal deep learning for Alzheimer’s disease dementia assessment[4]), International Society to Advance Alzheimer’s Research and Treatment Artificial Intelligence for Precision Medicine PIA
- 2022: Senior Member, The Institute of Electrical and Electronics Engineers (IEEE)
- 2021: Toffler Scholar in Neuroscience, The Karen Toffler Charitable Trust[9]
- 2019: Fellow, American Heart Association
References
[edit]- ^ "Kolachalama Laboratory - Home". vkola-lab.github.io. Retrieved 2024-12-02.
- ^ 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.
- ^ Kolachalama, Vijaya B.; 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.
- ^ 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. doi:10.1038/s41467-022-31037-5. ISSN 2041-1723. PMC 9209452. PMID 35725739.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "Vijaya Kolachalama". Toffler Trust. Retrieved 2024-12-02.
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