BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Events calendar : University of Miami Miller School of Medicine - ECPv6.17.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Events calendar : University of Miami Miller School of Medicine
X-ORIGINAL-URL:https://events.med.miami.edu
X-WR-CALDESC:Events for Events calendar : University of Miami Miller School of Medicine
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260327T120000
DTEND;TZID=America/New_York:20260327T130000
DTSTAMP:20260324T121646Z
CREATED:20260303T161328Z
LAST-MODIFIED:20260324T121646Z
UID:10003580-1774612800-1774616400@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: Drug Discovery using Systems Biology and Mechanistic AI [FREE CME]
DESCRIPTION:📅 Friday March 27th\, 2026\n🕐 12:00 PM – 1:00 PM\n📍 Virtual Event (Zoom Webinar)\nRegister Now\n\n \n\nThe Future of Health Data Innovation \n“Drug Discovery using Systems Biology and Mechanistic AI“ \n1.0 AMA PRA Category 1 Credit™\n\n \n\n \n\n \n\n \n\nFeatured Speaker \nDr. Sriram Chandrasekaran PhD\nAssociate Professor\, Biomedical Engineering \nAssociate Chair for Research in Biomedical Engineering \nLeader of the Systems Biology & Drug Discovery Lab \nUniversity of Michigan \n\n\n \n\nAbout Dr. Chandrasekaran\nSriram Chandrasekaran is an Associate Professor and Associate Chair of Research in Biomedical Engineering at the University of Michigan-Ann Arbor. He leads the Systems Biology & Drug Discovery lab. He received his PhD in Biophysics from the University of Illinois at Urbana-Champaign and later worked as a Harvard Junior Fellow at Harvard University and MIT.  His lab has developed more than 15 systems-biology methods for drug discovery and bioengineering. A key focus of his lab is developing mechanistic AI methods that integrate engineering models and machine learning. He teaches a course called AI in BME that introduces students to AI algorithms and their applications in biomedical engineering. He is the recipient of several awards\, including the MIT Technology Review’s Top Innovators Under 35 (TR35) award and the EBS Teaching Award. \n\n \n\nLearning Objectives\nAt the conclusion of this activity\, participants will be able to: \n\n\nIllustrate the importance of combination therapy\, specifically in the context of overcoming drug resistance in cancer and infectious diseases.\n\n\nExplain the need for Systems Biology and AI in Drug Discovery\, transitioning from generalized treatments to personalized approaches\n\nIdentify critical factors used by AI tools to predict the efficacy of a drug regimen: Properties of the drugs\, the pathogen or tumor\, and the disease environment.\n\n\n \n\nVenue\n\nVirtual Event \nJoin via Zoom Webinar (registration required) \nRegister Now \n\n\n \n\nAccreditation & Credits\n\n\nAccreditation \nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.                                                                                                                                                                                                                                                                                                                                             \n\n\nCredit Designation \nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \n\n\n\n \n\nDisclosures\n\nMitigation of Relevant Financial Relationships \nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity. \n\n\n \n\nContact Information\n\nOrganizer \nAlex Gonzalez\n786-708-7312 · axg6653@miami.edu \n\n\n \n\nEvent Category\nInformatics and Health Data Science · Dept. of Medicine · Public Health Sciences \n\n \n\nThe Future of Health Data Innovation \n“Drug Discovery using Systems Biology and Mechanistic AI“ \nFriday\, March 27th\, 2026 · 12:00 PM – 1:00 PM · Virtual Event \nRegister Now
URL:https://events.med.miami.edu/event/fhdi-march-2026/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/fhdi-march-2026/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260326T120000
DTEND;TZID=America/New_York:20260326T180000
DTSTAMP:20260228T185502Z
CREATED:20260223T215057Z
LAST-MODIFIED:20260228T185502Z
UID:10003560-1774526400-1774548000@events.med.miami.edu
SUMMARY:Innovations in Medical Education Conference 2026 Day 1
DESCRIPTION:Day 1 \nInnovations in Medical Education Conference 2026 \nEmpower to Transform. Inspire to Serve. \nThursday\, March 26\, 2026 · 12:00 PM – 6:00 PM \n\n \n\n\n📍 Location \nLakeside Village Expo Center \n\n\n🕐 Time \n12:00 PM – 6:00 PM \n\n\n⏰ Register By \nMarch 13\, 2026 \n\n\n \nRegister Now\n\nView Full Agenda\n \n\nAbout the Conference\nDiscover how artificial intelligence and digital innovation are transforming how we teach\, learn and lead in medical education. This two-day conference will feature keynote speakers\, dynamic panels\, interactive workshops and more. \n\n \n\nConference Topics\n\n\nIntegrating AI into Curricula \n\n\nPutting Ethics into Practice \n\n\nDeveloping AI-Powered Tools \n\n\n\n \n\nJoin Us for Day 1! \nRegister by March 13\, 2026 to connect\, collaborate\, and innovate with the best in medical education. \nRegister Now \n\n \n\nVenue\n\nUniversity of Miami Lakeside Village Expo Center \n1280 Stanford Drive\nCoral Gables\, FL 33146 \n📍 View on Google Maps
URL:https://events.med.miami.edu/event/innovations-in-medical-education-conference-2026-day-1-2/
LOCATION:University Of Miami Lakeside Village Expo Center\, 1280 Stanford Drive\, Coral Gables\, 33146\, United States
CATEGORIES:Alumni,Biochemistry and Molecular Biology,Cell Biology,Dept. of Medicine,Medical Education,The MIL Lab
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260326T073000
DTEND;TZID=America/New_York:20260327T170000
DTSTAMP:20260228T185127Z
CREATED:20260223T215339Z
LAST-MODIFIED:20260228T185127Z
UID:10003562-1774510200-1774630800@events.med.miami.edu
SUMMARY:Innovations in Medical Education Conference 2026 Day 2
DESCRIPTION:Two-Day Conference \nInnovations in Medical Education Conference 2026 \nEmpower to Transform. Inspire to Serve. \nThursday–Friday\, March 26–27\, 2026 · 7:30 AM – 5:00 PM \n\n \n\n\n📍 Location \nLakeside Village Expo Center \n\n\n📅 Dates \nMarch 26–27\, 2026 \n\n\n⏰ Register By \nMarch 13\, 2026 \n\n\n \nRegister Now\n\nView Full Agenda\n\nLearn More\n \n\nAbout the Conference\nDiscover how artificial intelligence and digital innovation are transforming how we teach\, learn and lead in medical education. This two-day conference will feature keynote speakers\, dynamic panels\, interactive workshops and more. \n\n \n\nConference Topics\n\n\nIntegrating AI into Curricula \n\n\nPutting Ethics into Practice \n\n\nDeveloping AI-Powered Tools \n\n\n\n \n\nExcited about the 2026 Innovations in Medical Education Conference? \nSo are we! Register by March 13\, 2026 to connect\, collaborate\, and innovate with the best in medical education. \nRegister Now \n\n \n\nVenue\n\nUniversity of Miami Lakeside Village Expo Center \n1280 Stanford Drive\nCoral Gables\, FL 33146 \nPhone: 305-284-6067 \n📍 View on Google Maps
URL:https://events.med.miami.edu/event/innovations-in-medical-education-conference-2026-day-2/
LOCATION:University Of Miami Lakeside Village Expo Center\, 1280 Stanford Drive\, Coral Gables\, 33146\, United States
CATEGORIES:Alumni,Biochemistry and Molecular Biology,Cell Biology,Dept. of Medicine,Medical Education,The MIL Lab
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260320T120000
DTEND;TZID=America/New_York:20260320T124500
DTSTAMP:20260226T161632Z
CREATED:20260226T161511Z
LAST-MODIFIED:20260226T161632Z
UID:10003566-1774008000-1774010700@events.med.miami.edu
SUMMARY:FEMTECH FRIDAYS - Own Your Story: Redefining Women’s Health Advocacy with FoXX Health
DESCRIPTION:📅 Friday\, March 20th\, 2026\n🕐 12:00 PM – 12:45 PM\n📍 Virtual Event (Zoom Webinar)\nRegister Now\n\n \n\nFemtech fridays \n“Own Your Story: Redefining Women’s Health Advocacy with FoXX Health”\npresented by the University of Miami’s FemTech Program and the Media and Innovation Lab \n\n \n\n \n\n \n\n \nFeatured Speaker \nMaria Haugen\nCEO and Founder \nFoXX Health \n\n\n \n\nAbout\n\n \n\n\n\nMaria Haugen is the Founder & CEO of FoXX Health\, a women’s health company helping women take control of their health through full-body symptom tracking and advocacy. 93% of women report having their symptoms dismissed and 60% receive a misdiagnosis. FoXX Health is changing this by helping women track symptoms\, recognize patterns\, and walk into care informed and confident. With a background in strategy consulting\, advertising\, and AI startups\, Maria brings a bold\, non-traditional lens to women’s health innovation. \n\n\n\n \n\nVenue\n\nVirtual Event \nJoin via Zoom Webinar (registration required) \nRegister Now \n\n\n \n\nContact Information\n\nOrganizer \nAlex Gonzalez\n786-708-7312 · axg6653@miami.edu \n\n\n \n\nEvent Category\nInformatics and Health Data Science · Dept. of Medicine · Public Health Sciences \n\n \n\nFemTech Fridays\n“Own Your Story: Redefining Women’s Health Advocacy with FoXX Health” \nFriday\, March 20th\, 2026 · 12:00 PM – 12:45 PM · Virtual Event \nRegister Now
URL:https://events.med.miami.edu/event/ff-march-2026/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/ff-march-2026/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260314T080000
DTEND;TZID=America/New_York:20260314T150000
DTSTAMP:20260220T183625Z
CREATED:20260219T165530Z
LAST-MODIFIED:20260220T183625Z
UID:10003547-1773475200-1773500400@events.med.miami.edu
SUMMARY:The Mitchell Wolfson Sr. Department of Community Service (DOCS) - Allapattah
DESCRIPTION:Community Health Fair \nThe Mitchell Wolfson Sr. Department of Community Service (DOCS) \nAllapattah \nSaturday\, March 14\, 2026 · 8:00 AM – 3:00 PM \n\n \n\n\n📍 Location \nVillage of Allapattah YMCA \n\n\n🕐 Time \n8:00 AM – 3:00 PM \n\n\n💰 Cost \nFree \n\n\n \nPre-Register Now\n\nView Stations\n \n\nAbout DOCS\nA student-run program at the University of Miami Miller School of Medicine dedicated to providing quality health care to underserved populations in South Florida. \n\n \n\nFor Physicians\n\nBoth residents and attendings can participate in DOCS at all different levels! \nInterested in volunteering? Learn more here → \n\n\n \n\nFor Patients\n\nAnyone needing special assistance\, please make arrangements (preferably one week prior to the fair) by registering your special needs: \nPhone: 305-243-4898 \nEmail: docshealthfairs@miami.edu \n\n\n \n\nVenue\n\nVillage of Allapattah YMCA Family Center \n2370 NW 17th Ave\nMiami\, FL 33142 \nPhone: 305-635-9622 \n📍 View on Google Maps \n\n\n \n\nLearn more about DOCS Health Fairs \nVisit DOCS Website
URL:https://events.med.miami.edu/event/the-mitchell-wolfson-sr-department-of-community-service-docs-allapattah/
LOCATION:Village of Allapattah YMCA Family Center\, 2370 NW 17th Ave\, Miami\, FL\, 33142\, United States
CATEGORIES:Alumni,Department of Medical Education,Medical Education
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260305T180000
DTEND;TZID=America/New_York:20260305T200000
DTSTAMP:20260220T172150Z
CREATED:20260218T212813Z
LAST-MODIFIED:20260220T172150Z
UID:10003511-1772733600-1772740800@events.med.miami.edu
SUMMARY:Alumni Roadshow - American Academy of Orthopaedics Surgeons (AAOS)
DESCRIPTION:Alumni Roadshow \nAmerican Academy of Orthopaedic Surgeons (AAOS) \nNew Orleans\, Louisiana \nThursday\, March 5\, 2026 · 6:00 PM – 8:00 PM CST \n\n \n\n\n📍 Location \nHilton New Orleans Riverside \n \n\n🕐 Time \n6:00 PM – 8:00 PM CST \n \n\n🎯 Audience \nMiller School Alumni \n \n\n \n\n    RSVP Now\n\n \n\nCatch Up\, Relive\, and Celebrate!\nJoin the Miller School of Medicine at The American Academy of Orthopaedic Surgeons’ conference in New Orleans to reconnect with old friends\, expand your professional network\, celebrate the advancements and achievements within the field of orthopedic surgery – and reunite with fellow alumni in a shared spirit of progress and pride. \n\n \n\nHosted By\n\n         \n\nFrancis J. Hornicek\, M.D.\, Ph.D. \nChair\, Department of Orthopaedics \nUniversity of Miami Miller School of Medicine \n \n \n\n \n\nVenue\n\nHilton New Orleans Riverside \n2 Poydras StreetNew Orleans\, LA 70130 \n        📍 View on Google Maps\n    \n\n \n\nWe look forward to seeing you in New Orleans! \n    RSVP for the Event\n\n \n\nAbout AAOS 2026\nThis event is held in conjunction with the American Academy of Orthopaedic Surgeons’ Annual Meeting. \n    AAOS Conference Registration
URL:https://events.med.miami.edu/event/alumni-roadshow-american-academy-of-orthopaedics-surgeons-aaos/
LOCATION:Hilton New Orleans Riverside\, 2 Poydras Street\, New Orleans\, 70130\, United States
CATEGORIES:Alumni,Orthopaedics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260226T120000
DTEND;TZID=America/New_York:20260226T130000
DTSTAMP:20260213T172315Z
CREATED:20260213T172104Z
LAST-MODIFIED:20260213T172315Z
UID:10003556-1772107200-1772110800@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias [CME eligible]
DESCRIPTION:📅 Thursday\, February 26th\, 2026\n🕐 12:00 PM – 1:00 PM\n📍 Virtual Event (Zoom Webinar)\nRegister Now\n\n \n\nThe Future of Health Data Innovation \n“Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias” \n1.0 AMA PRA Category 1 Credit™\n\n \n\n \n\nDr. Benjamin Collins MD\, MA\, MS \n\n \n\nFeatured Speaker \nDr Benjamin Collins MD\, MA\, MS\nAssistant Professor Department of Medicine \nAssistant Professor Department of Biomedical Informatics \nVanderbilt University \n\n\n \n\nAbout Dr. Collins\nDr. Benjamin Collins is an Assistant Professor of Clinical Medicine in the Division of General Internal Medicine and Public Health with a secondary appointment in the Department of Biomedical Informatics at Vanderbilt University Medical Center (VUMC). He completed Internal Medicine Residency at Temple University Hospital in Philadelphia\, PA and earned an MA degree in Urban Bioethics during residency with a thesis on\, “A Theory of Sociotechnical Justice in Healthcare.” \nHe completed a clinical informatics fellowship at Oregon Health & Science University in Portland\, OR along with an MS degree in biomedical informatics with a capstone project on developing an online training module for clinicians in healthcare. This work received the 2022 American Medical Informatics Association Academic Forum Best Paper Award. He also completed a research fellowship at VUMC on ethical\, legal\, and social issues of AI in healthcare.  At VUMC\, he currently practices clinically as a hospitalist and works on research around ethics and equity in the context of clinical reasoning with AI in healthcare. \n\n \n\nLearning Objectives\nAt the conclusion of this activity\, participants will be able to: \n\n\nExplain the importance of training clinicians on the use of artificial intelligence in healthcare and potential for algorithmic bias. \n\n\nAnalyze scientific literature to identify important content for clinicians to learn related to artificial intelligence in healthcare and algorithmic bias. \n\n\nPlan training for clinicians on topics of emerging importance related to the use of artificial intelligence in healthcare. \n\n\n\n \n\nVenue\n\nVirtual Event \nJoin via Zoom Webinar (registration required) \nRegister Now \n\n\n \n\nAccreditation & Credits\n\n\nAccreditation \nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. \n\n\nCredit Designation \nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \n\n\n\n \n\nDisclosures\n\nMitigation of Relevant Financial Relationships \nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity. \n\n\n \n\nContact Information\n\nOrganizer \nAlex Gonzalez\n786-708-7312 · axg6653@miami.edu \n\n\n \n\nEvent Category\nInformatics and Health Data Science · Dept. of Medicine · Public Health Sciences \n\n \n\nThe Future of Health Data Innovation \n“Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias” \nThursday\, February 26th\, 2026 · 12:00 PM – 1:00 PM · Virtual Event \nRegister Now
URL:https://events.med.miami.edu/event/the-future-of-health-data-innovation-process-of-training-clinicians-on-the-use-of-artificial-intelligence-in-healthcare-and-algorithmic-bias-cme-eligible/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/the-future-of-health-data-innovation-process-of-training-clinicians-on-the-use-of-artificial-intelligence-in-healthcare-and-algorithmic-bias-cme-eligible/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260221T080000
DTEND;TZID=America/New_York:20260221T150000
DTSTAMP:20260219T165619Z
CREATED:20260219T165619Z
LAST-MODIFIED:20260219T165619Z
UID:10003548-1771660800-1771686000@events.med.miami.edu
SUMMARY:The Mitchell Wolfson Sr. Department of Community Service (DOCS) - West Kendall Health Fair
DESCRIPTION:The Mitchell Wolfson Sr. Department of Community Service (DOCS)\nA student-run program at the University of Miami Miller School of Medicine dedicated to providing quality health care to underserved populations in South Florida. \nFor Physicians: \nFor Patients: Anyone needing special assistance\, please make arrangements (preferably one week prior to the fair) by registering your special needs by calling 305-243-4898 or emailing docshealthfairs@miami.edu.
URL:https://events.med.miami.edu/event/the-mitchell-wolfson-sr-department-of-community-service-docs-west-kendall-health-fair/
LOCATION:Capilla Del Rey\, 12450 SW 72nd St\, Miami\, Florida\, 33183\, United States
CATEGORIES:Alumni,Department of Medical Education,Environment and Public Health,Medical Education,Prevention Science and Community Health
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260129T120000
DTEND;TZID=America/New_York:20260129T130000
DTSTAMP:20260213T170833Z
CREATED:20260213T154418Z
LAST-MODIFIED:20260213T170833Z
UID:10003506-1769688000-1769691600@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias [CME eligible]
DESCRIPTION:📅 Thursday\, February 26th\, 2026\n🕐 12:00 PM – 1:00 PM\n📍 Virtual Event (Zoom Webinar)\nRegister Now\n\n \n\nThe Future of Health Data Innovation \n“Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias” \n1.0 AMA PRA Category 1 Credit™\n\n \n\n \n\nDr. Benjamin Collins MD\, MA\, MS \n\n \n\nFeatured Speaker \nDr Benjamin Collins MD\, MA\, MS\nAssistant Professor Department of Medicine \nAssistant Professor Department of Biomedical Informatics \nVanderbilt University \n\n\n \n\nAbout Dr. Collins\nDr. Benjamin Collins is an Assistant Professor of Clinical Medicine in the Division of General Internal Medicine and Public Health with a secondary appointment in the Department of Biomedical Informatics at Vanderbilt University Medical Center (VUMC). He completed Internal Medicine Residency at Temple University Hospital in Philadelphia\, PA and earned an MA degree in Urban Bioethics during residency with a thesis on\, “A Theory of Sociotechnical Justice in Healthcare.” \nHe completed a clinical informatics fellowship at Oregon Health & Science University in Portland\, OR along with an MS degree in biomedical informatics with a capstone project on developing an online training module for clinicians in healthcare. This work received the 2022 American Medical Informatics Association Academic Forum Best Paper Award. He also completed a research fellowship at VUMC on ethical\, legal\, and social issues of AI in healthcare.  At VUMC\, he currently practices clinically as a hospitalist and works on research around ethics and equity in the context of clinical reasoning with AI in healthcare. \n\n \n\nLearning Objectives\nAt the conclusion of this activity\, participants will be able to: \n\n\nExplain the importance of training clinicians on the use of artificial intelligence in healthcare and potential for algorithmic bias. \n\n\nAnalyze scientific literature to identify important content for clinicians to learn related to artificial intelligence in healthcare and algorithmic bias. \n\n\nPlan training for clinicians on topics of emerging importance related to the use of artificial intelligence in healthcare. \n\n\n\n \n\nVenue\n\nVirtual Event \nJoin via Zoom Webinar (registration required) \nRegister Now \n\n\n \n\nAccreditation & Credits\n\n\nAccreditation \nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. \n\n\nCredit Designation \nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \n\n\n\n \n\nDisclosures\n\nMitigation of Relevant Financial Relationships \nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity. \n\n\n \n\nContact Information\n\nOrganizer \nAlex Gonzalez\n786-708-7312 · axg6653@miami.edu \n\n\n \n\nEvent Category\nInformatics and Health Data Science · Dept. of Medicine · Public Health Sciences \n\n \n\nThe Future of Health Data Innovation \n“Process of Training Clinicians on the Use of Artificial Intelligence in Healthcare and Algorithmic Bias” \nThursday\, February 26th\, 2026 · 12:00 PM – 1:00 PM · Virtual Event \nRegister Now
URL:https://events.med.miami.edu/event/fhdi2026-algorithmic-bias/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/fhdi2026-algorithmic-bias/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260129T120000
DTEND;TZID=America/New_York:20260129T130000
DTSTAMP:20260114T163821Z
CREATED:20260114T151112Z
LAST-MODIFIED:20260114T163821Z
UID:10003460-1769688000-1769691600@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: Accelerating Systematic Reviews: Using AI-Assisted Python Coding for Literature Screening [CME eligible]
DESCRIPTION:📅 Thursday\, January 29\, 2026\n    \n\n        🕐 12:00 PM – 1:00 PM\n    \n\n        📍 Virtual Event (Zoom Webinar)\n    \n\n        Register Now\n    \n\n \n\nThe Future of Health Data Innovation \n“Accelerating Systematic Reviews: Using AI-Assisted Python Coding for Literature Screening” \n\n        1.0 AMA PRA Category 1 Credit™\n    \n\n \n\n     \n\n        \n    \n     \n\nFeatured Speaker \nLina Shehadeh\, Ph.D.\nProfessor of Medicine\, Division of Cardiology \nUniversity of Miami Miller School of Medicine \nResearch Health Scientist\, Miami VA Medical Center \n \n\n \n\nAbout Dr. Shehadeh\nDr. Lina Shehadeh is a Professor of Medicine in the Division of Cardiology at the University of Miami Miller School of Medicine and Research Health Scientist at the Miami VA Medical Center. Her NIH-\, AHA-\, and VA-funded laboratory investigates the role of metabolic dysfunction in Heart Failure with Preserved Ejection Fraction (HFpEF)\, and endothelial dysfunction in Long COVID. \nDr. Shehadeh’s expertise in computational biology\, data mining\, and machine learning enables her to leverage large genomic datasets to identify therapeutic targets. She is active in (bio)medical education research with a focus on integrating AI tools into research workflows\, and recently published a methods paper in the American Journal of Physiology-Heart and Circulatory Physiology on using AI-assisted Python coding to accelerate systematic review screening. \n\n \n\nLearning Objectives\nAt the conclusion of this activity\, participants will be able to: \n\n\nDescribe how AI-assisted Python coding can be applied to screen hundreds to thousands of abstracts for systematic literature reviews \n \n\nIdentify the key steps in implementing a rule-based automation protocol for efficient and reproducible literature screening \n \n\nEvaluate the advantages and limitations of AI-assisted screening compared to traditional manual approaches \n \n \n\n \n\nVenue\n\nVirtual Event \nJoin via Zoom Webinar (registration required) \n        Register Now\n    \n\n \n\nAccreditation & Credits\n\n\nAccreditation \nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. \n \n\nCredit Designation \nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \n \n \n\n \n\nDisclosures\n\nMitigation of Relevant Financial Relationships \nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity. \n \n\n \n\nContact Information\n\nOrganizer \nAlex Gonzalez786-708-7312 · axg6653@miami.edu \n \n\n \n\nEvent Category\nInformatics and Health Data Science · Dept. of Medicine · Public Health Sciences \n\n \n\nThe Future of Health Data Innovation \n“Accelerating Systematic Reviews: Using AI-Assisted Python Coding for Literature Screening” \nThursday\, January 29\, 2026 · 12:00 PM – 1:00 PM · Virtual Event \n    Register Now
URL:https://events.med.miami.edu/event/fhdi-accelerating-systematic-reviews/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/fhdi-accelerating-systematic-reviews/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251204T110000
DTEND;TZID=America/New_York:20251204T120000
DTSTAMP:20251124T224943Z
CREATED:20251103T003005Z
LAST-MODIFIED:20251124T224943Z
UID:10003328-1764846000-1764849600@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: A Privacy-Centric and Federated Approach to Machine Learning for the Collection and Sharing of Patient-Reported Outcomes Data in Genomic Medicine Research [CME eligible]
DESCRIPTION:Featuring Rachele Hendricks-Sturrup DHSc\, MSc\, MA\n \nDr. Rachele Hendricks-Sturrup is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy in Washington\, DC\, strategically leading and managing the Institute’s RWE Collaborative and RWE policy research portfolio and education. As an engagement expert\, biomedical researcher\, bioethicist\, and policy practitioner with over 18 years of experience\, her work centers on addressing implementation\, regulatory\, and ethical\, legal\, and social implications (ELSI) at the intersection of health policy and innovation. She presently partners with Duke University faculty\, scholars\, students\, and external practicing experts to advance the Institute’s biomedical innovation work. \n\nObjectives\n\nExplain the importance of collecting patient-reported outcomes (PROs) data in genomic medicine research.\nInterpret clinical use cases and PRO data collection tools that have been used in genomic medicine research and care settings.\nIllustrate a patient-facing\, privacy-preserving\, and machine learning-based mechanism that could be used to facilitate the collection and sharing of sensitive PRO data to support genomic medicine research.\n\nAccreditation\nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. \nCredit Designation\nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1  AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \nMitigation of Relevant Financial Relationships\nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.
URL:https://events.med.miami.edu/event/privacy-centric-and-federated-approach/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/privacy-centric-and-federated-approach/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251120T110000
DTEND;TZID=America/New_York:20251120T120000
DTSTAMP:20251029T162715Z
CREATED:20251019T201318Z
LAST-MODIFIED:20251029T162715Z
UID:10003309-1763636400-1763640000@events.med.miami.edu
SUMMARY:The Future of Health Data Innovation: Artificial Intelligence for Rural US Healthcare [CME eligible]
DESCRIPTION:Featuring Dr. Katherine Brown\n \nDr. Katherine (Katie) Brown a biomedical informaticist working at the intersection of state-of-the-art artificial intelligence and machine learning (AI/ML)\, informatics for rural healthcare\, and optimizing AI/ML systems for human collaboration. Her overarching goal as a researcher is to develop and evaluate AI/ML systems that promote equity in healthcare access and patient outcomes while maintaining and enhancing performance\, robustness\, and reliability.  Currently\, she is a T15 Postdoctoral Research Fellow in the Department of Biomedical Informatics at Vanderbilt University Medical Center\, and she received her B.S. in Computer Science in May 2018\, her M.S. in Computer Science in May 2021\, and her PhD in Engineering (Computer Science) in August 2023\, all from Tennessee Technological University. She has served on the Student Editorial Board of the Journal of the American Medical Informatics Association (JAMIA) in the 2022-2024 cohort and is currently serving on the Editorial Board of JAMIA in the 2025-2027 cohort.  \n\nObjectives\n\nQuantify current state of AI/ML research and development for healthcare in the rural US\nIllustrate challenges faced when implementing AI/ML methods for rural populations\nEvaluate the efficacy of various methods — including synthetic data generation\, federated learning\, and foundation models — in mitigating concerns about model development\n\n\nAccreditation\nThe University of Miami Leonard M. Miller School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. \nCredit Designation\nThe University of Miami Leonard M. Miller School of Medicine designates this live activity for a maximum of 1  AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. \nMitigation of Relevant Financial Relationships\nThe University of Miami adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity\, including faculty\, planners\, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.
URL:https://events.med.miami.edu/event/rural-us-healthcare/
CATEGORIES:Alumni,Dept. of Medicine,Informatics and Health Data Science,Public Health Sciences,The MIL Lab,TSCS
ORGANIZER;CN="Alex Gonzalez":MAILTO:axg6653@miami.edu
LOCATION:https://events.med.miami.edu/event/rural-us-healthcare/
END:VEVENT
END:VCALENDAR