541 A Framework for Multicultural and Multidisciplinary Near-Peer Mentoring for Artificial Intelligence in Healthcare Education: A University of Florida Friend Group

Daniel Andrew Lichlyter; Myles Joshua Toledo Tan; Alfredo Bayu Satriya; Weston John Schrock; Shaira Limson Kee; Michael Aaron Go Sy; Mayra Betsabé Silva; Trevor Lamar Schrock

doi:10.1017/cts.2024.462

541 A Framework for Multicultural and Multidisciplinary Near-Peer Mentoring for Artificial Intelligence in Healthcare Education: A University of Florida Friend Group

Part of: JCTS_2024_ABSTRACT_COLLECTION

Published online by Cambridge University Press: 03 April 2024

Daniel Andrew Lichlyter ,

Myles Joshua Toledo Tan ,

Alfredo Bayu Satriya ,

Weston John Schrock ,

Shaira Limson Kee ,

Michael Aaron Go Sy ,

Mayra Betsabé Silva and

Trevor Lamar Schrock

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Daniel Andrew Lichlyter: Affiliation:
College of Medicine, University of Florida, Gainesville, FL 32610, United States
Myles Joshua Toledo Tan*: Affiliation:
Department of Electrical & Computer Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL 32611, United States Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL 32610, United States Department of Natural Sciences, College of Arts & Sciences, University of St. La Salle, Bacolod, Negros Occidental 6100, Philippines Department of Chemical Engineering, College of Engineering & Technology, University of St. La Salle, Bacolod, Negros Occidental 6100, Philippines Department of Electronics Engineering, College of Engineering & Technology, University of St. La Salle, Bacolod, Negros Occidental 6100, Philippines
Alfredo Bayu Satriya: Affiliation:
Department of Electrical & Computer Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL 32611, United States
Weston John Schrock: Affiliation:
Department of Natural Sciences, College of Arts & Sciences, University of St. La Salle, Bacolod, Negros Occidental 6100, Philippines College of Pharmacy, University of Florida, Gainesville, FL 32610, United States
Shaira Limson Kee: Affiliation:
Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL 32610, United States
Michael Aaron Go Sy: Affiliation:
Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL 32610, United States
Mayra Betsabé Silva: Affiliation:
Department of Physics, College of Liberal Arts & Sciences, University of Florida, Gainesville, FL 32611, United States
Trevor Lamar Schrock: Affiliation:
College of Dentistry, University of Florida, Gainesville, FL 32610, United States
*: ‡Corresponding author: Email: [email protected]

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Abstract

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OBJECTIVES/GOALS: This work aims to explore how citizen science serves as a transformative frame work to bridge scientific knowledge, focusing on its potential to enhance transdisciplinary learning in artificial intelligence (AI) biomedical and clinical sciences by facilitating near-peer mentoring. METHODS/STUDY POPULATION: Our group of eight friends comprise a multicultural and multidisciplinary cohort including students from the USA, Philippines, Indonesia, and Guatemala pursuing PhD degrees in electrical and computer engineering, epidemiology, physics, and MD, PharmD, and DMD degrees. We engage in shared online courses, collaborative projects, and abstract submissions. Employing our collective knowledge, we design interactive learning experiences, support each other’s initiatives, and collaboratively develop lectures and presentations. We in tend to expand collaborations in biomedical AI education while fostering principles of experiential and collaborativelearning, constructivism, and authentic inquiry. RESULTS/ANTICIPATED RESULTS: Our recent successes include submittedconference abstracts on data science and AI education in pharmacy and the facilitation of a guest lecture in health informatics. Additionally, we are currently collaborating on seven biomedical machine learning projects in radio frequency engineering, aiming for conference submissions. Moving forward, our goal is to expand our group, support the formation of similar communities, and promote data science and AI literacy in biomedical and clinical contexts. We aspire to extend this knowledge to families, classmates, and eventually patients, facilitating a broader understanding of the role of AI in healthcare. DISCUSSION/SIGNIFICANCE: We believe diverse expertise and pedagogical theories can help demonstrate the potential of citizen science to democratize scientific experience. By nurturing collaborative networks our efforts aim to bridge gaps between disciplines and enhance the broader public’s understanding of AI in healthcare.

Type: Team Science
Information: Journal of Clinical and Translational Science , Volume 8 , Issue s1 , April 2024 , pp. 161 - 162

DOI: https://doi.org/10.1017/cts.2024.462 [Opens in a new window]
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