Medical Sciences
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Predicting Pediatric Malpractice Risks with AI
Preverity – Predicting Pediatric Malpractice Risks with AI In collaboration with Vanderbilt Data Science, Preverity launched a project aimed at developing a predictive model to assess malpractice risks in pediatric healthcare. This initiative was driven by the need to enhance patient safety in a particularly vulnerable population. By employing advanced… Read MoreAug. 13, 2024
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Enhancing Diagnostics with AI-Driven Medical Analysis
HCA Healthcare – Enhancing Diagnostics with AI-Driven Medical Analysis In collaboration with Vanderbilt Data Science, HCA Healthcare embarked on a project to improve the identification of vascular conditions from radiology reports. By leveraging advanced AI techniques, the project aimed to enhance the accuracy and efficiency of medical diagnoses, ultimately improving… Read MoreAug. 13, 2024
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AI Deep Dive: Harnessing Technology for Improved Speech Health
On October 27th, we had the privilege of hosting an AI Deep Dive Session with Dr. Matthew Pontell, where we discussed the use of generative AI for enhancing speech therapy and improving speech dysfunction. This session brought to light the innovative strategies and recovery techniques that promise better speech… Read MoreNov. 2, 2023
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Active Learning Strategies for Efficient Growth of BGC Database (DSI-SRP)
This DSI-SRP fellowship funded Chaehyun “Amy” Song to work in the laboratory of Dr. Allison Walker, Ph.D. in the Department of Pathology, Microbiology and Immunology during the summer of 2023. Amy is a rising junior with a major in Biochemistry and Chemical Biology and a minor in Computer Science. In… Read MoreAug. 21, 2023
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Exploring Racial and Gender Differences in Opioid Use Disorder and Designing NLP-based Diagnosis Tools (DSI-SRP)
This DSI-SRP fellowship funded Chen Jin to work in the laboratory of Dr. Alvin D. Jeffery, Ph.D. in the School of Nursing during the summer of 2023. Chen is a rising senior with majors in Economics and Medicine Health and Society (MHS), and a minor in Data Science. Read MoreAug. 21, 2023
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Evaluating and Applying Machine-Learning Models in Predicting Gene Regulation and Expression in Neuropsychiatric Disorders (DSI-SRP)
This DSI-SRP fellowship funded Namju Kim to work in the laboratory of Dr. Eric Gamazon, Ph.D. in the Department of Medicine during the summer of 2023. Namju is a rising junior with a major in Molecular and Cellular Biology and a minor in Data Science. Neuropsychiatric diseases are partially caused… Read MoreAug. 21, 2023
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Modeling Signaling Pathways Using Recurrent Neural Networks (DSI-SRP)
This DSI-SRP fellowship funded Alexander Lin to work in the laboratory of Dr. Gregor Neuert, Ph.D. in the Department of Molecular Physiology and Biophysics during the summer of 2023. Alexander is a rising sophomore with majors in Computer Science and Biochemistry and a minor in Data Science. His project focused… Read MoreAug. 14, 2023
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Dr. Benjamin Collins to give talk on “Navigating the AI Future of Health Care” in the TEDxVanderbiltUniversity on April 18
Vanderbilt University’s Employee Learning and Engagement Team will host the the seventh annual TEDxVanderbiltUniversity on April 18 and feature a talk on how artificial intelligence could reshape the future of healthcare. Dr. Benjamin Collins, a physician researcher, bioethicist and informatician at Vanderbilt University Medical Center, will discuss “Navigating… Read MoreMar. 24, 2023
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VICB Seminar October 26th: Machine Learning Strategies in Chemical Biology
Dr. Allison Walker, Assistant Professor of Chemistry and Biological Sciences Interested in learning how machine learning strategies are being applied applied to facilitate engineering and discovery of natural products for development of therapeutics? Join the Vanderbilt Institute of Chemical Biology (VICB) on Wednesday, October 26th from 12:15 pm –… Read MoreOct. 6, 2022
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AI Deep Dive: Training a Transformer Model on EEGs
Friday, September 30 at 1:00pm the Data Science Institute will host Prof. Sasha Key in a discussion of applying transformer deep learning models to the problem of analyzing multichannel EEG in response to multiple stimulus/recording conditions (e.g., faces vs. objects, speech vs. nonspeech, attend vs. ignore, etc.). Transformers are powerful… Read MoreSep. 29, 2022