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X-WR-CALNAME:Rutgers Addiction Research Center (RARC)
X-ORIGINAL-URL:https://addiction.rutgers.edu
X-WR-CALDESC:Events for Rutgers Addiction Research Center (RARC)
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DTSTART;TZID=America/New_York:20261023T130000
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UID:12338-1792760400-1793023200@addiction.rutgers.edu
SUMMARY:Rutgers Department of Industrial and Systems Engineering Seminar Featuring Yuefeng Huang - "Regulating Drug Cue-Reactivity: Sex and Hormonal Influences and a Path Toward Precision Treatment and Developmental Prevention"
DESCRIPTION:Join an upcoming seminar hosted by the Rutgers Department of Industrial and Systems Engineering this Friday\, October 23\, from 1:00–2:00 p.m.\, featuring Yuefeng Huang\, PhD\, Assistant Professor at Boys Town National Research Hospital.\nDr. Huang will present “Regulating Drug Cue-Reactivity: Sex and Hormonal Influences and a Path Toward Precision Treatment and Developmental Prevention.” The presentation will explore how biological sex and hormones influence neural responses to drug-related cues\, highlighting neuroimaging research and clinical interventions aimed at advancing precision addiction treatment and prevention.\nSeminar Details: \nDate: Friday\, October 23\, 2026 \nTime: 1:00–2:00 p.m. ET \nLocation: Rutgers CoRE Building\, Room 602 \nZoom:  https://rutgers.zoom.us/j/97691095070?pwd=KoxFH2hfLw5rW4BPX82UZDrcjyirKE.1 \nMeeting ID: 976 9109 5070 \nPasscode: 111123
URL:https://addiction.rutgers.edu/event/rutgers-department-of-industrial-and-systems-engineering-seminar-featuring-yuefeng-huang-regulating-drug-cue-reactivity-sex-and-hormonal-influences-and-a-path-toward-precision-treatment-and-devel/
LOCATION:Rutgers CoRE Building\, 96 Frelinghuysen Rd\, Piscataway\, NJ\, 08854
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DTSTART;TZID=America/New_York:20261026T120000
DTEND;TZID=America/New_York:20261026T130000
DTSTAMP:20261007T152000Z
CREATED:20261007T152000Z
LAST-MODIFIED:20261007T152000Z
UID:12302-1793016000-1793019600@addiction.rutgers.edu
SUMMARY:NJ ACTS Webinar -ICH E6 (R3) and AI Applications: Governance and Impact on Protocol Development
DESCRIPTION:Join Nadina Jose\, MD\, FPCPM\, Assistant Professor at Rutgers School of Health Professions\, for a webinar on the latest updates to the ICH E6 Good Clinical Practice (GCP) Guidelines and the role AI may play in implementing these changes. The session will explore governance and the potential impact of AI on protocol development and clinical research practice. \n\nJoin the webinar on Zoom \n\n\nThis event is co-sponsored by the NJ ACTS Workforce Development Core and the Rutgers Health Clinical Trials Office.
URL:https://addiction.rutgers.edu/event/nj-acts-webinar-ich-e6-r3-and-ai-applications-governance-and-impact-on-protocol-development/
LOCATION:Virtual
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261026T120000
DTEND;TZID=America/New_York:20261026T130000
DTSTAMP:20261009T180240Z
CREATED:20261009T142142Z
LAST-MODIFIED:20261009T180240Z
UID:12318-1793016000-1793019600@addiction.rutgers.edu
SUMMARY:RARC Digital Health Scientific Interest Group featuring Xiangyu Tao - "Connected\, but Supported? How AI Can Help Us Understand Online Relationships\, Mental Health\, and Substance Use"
DESCRIPTION:Join us for the Digital Health Scientific Interest Group featuring Xiangyu Tao\, Postdoctoral Fellow at Robert Wood Johnson Medical School. Dr. Tao’s research focuses on substance use and recovery in digital contexts\, particularly among youth and young adults. Her work integrates artificial intelligence\, community-engaged approaches\, and intensive longitudinal data to examine how online interactions and relationships shape mental health\, substance use\, recovery\, and overall well-being. \nJoin Zoom Meeting: https://rutgers.zoom.us/j/96527583368?pwd=vkQLbablNZanhvZLS1jIX7OtpbwPyS.1 \nMeeting ID: 965 2758 3368; Passcode: 805524
URL:https://addiction.rutgers.edu/event/rarc-digital-health-scientific-interest-group-featuring-xiangyu-tao-connected-but-supported-how-ai-can-help-us-understand-online-relationships-mental-health-and-substance-use/
LOCATION:Virtual
ORGANIZER;CN="Rutgers Addiction Research Center":MAILTO:rarc@bhi.rutgers.edu
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