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BEGIN:VEVENT
UID:20241210T1424Z-1733840674.5476-EO-3676-1@10.73.10.188
STATUS:CONFIRMED
DTSTAMP:20260414T191700Z
CREATED:20241210T142249Z
LAST-MODIFIED:20250910T184141Z
DTSTART;TZID=America/Chicago:20250922T120000
DTEND;TZID=America/Chicago:20250922T130000
SUMMARY: Genetics Seminar Series – Su-In Lee\, PhD
DESCRIPTION: Su-In Lee\, PhD Boeing Endowed Professor\, Allen School of Com
 puter Science & Engineering University of Washington Talk Title: Explainabl
 e AI for health: where we are and how to move forward Abstract: The first p
 art of my talk explores various research initiatives undertaken by my lab\,
  emphasizing the principles and techniques of explainable AI and their appl
 ication […]
X-ALT-DESC;FMTTYPE=text/html: <h4>Su-In Lee\, PhD</h4><p>Boeing Endowed Pro
 fessor\, Allen School of Computer Science & Engineering</p><p>University of
  Washington</p><p><strong>Talk Title:</strong> <em>Explainable AI for healt
 h: where we are and how to move forward</em></p><p><strong>Abstract:</stron
 g> <span style="font-size: 1.125rem\;">The first part of my talk explores v
 arious research initiatives undertaken by my lab\, emphasizing the principl
 es and techniques of explainable AI and their application across a range of
  biomedical fields. I will demonstrate how explainable AI can elucidate nov
 el scientific inquiries\, with a primary emphasis on understanding neurodeg
 enerative diseases and biological age.</span></p><section id="h.40e01a0a9f2
 b9dcc_95" class="yaqOZd"><div class="mYVXT"><div class="LS81yb VICjCf j5pSs
 c db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSC
 kd purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-AhqU
 yc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class=""><d
 iv class="oKdM2c ZZyype Kzv0Me"><div id="h.40e01a0a9f2b9dcc_98" class="hJDw
 Nd-AhqUyc-uQSCkd Ft7HRd-AhqUyc-uQSCkd jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb wHa
 que g5GTcb"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb baZ
 pAe" tabindex="0" role="main"><p class="zfr3Q CDt4Ke " dir="ltr"><span clas
 s="C9DxTc ">In the second part\, we will explore the evolving landscape of 
 explainable AI\, uncovering its potential to chart new scientific direction
 s in biomedicine\, exemplified by our recent work in dermatology\, emergenc
 y medicine and precision cancer medicine. This discussion aims to shed ligh
 t on the necessary enhancements for explainable AI to effectively tackle a 
 wide array of real-world challenges in biomedicine.</span></p></div></div><
 /div></div></div></div></div></div></div></section><section id="h.40e01a0a9
 f2b9dcc_99" class="yaqOZd"><div class="mYVXT"><div class="LS81yb VICjCf j5p
 Ssc db35Fc" tabindex="-1"><div class="hJDwNd-AhqUyc-OiUrBf Ft7HRd-AhqUyc-Oi
 UrBf purZT-AhqUyc-II5mzb ZcASvf-AhqUyc-II5mzb pSzOP-AhqUyc-qWD73c Ktthjf-Ah
 qUyc-qWD73c JNdkSc SQVYQc"><div class="JNdkSc-SmKAyb LkDMRd"><div class="">
 <div class="oKdM2c ZZyype Kzv0Me"><div id="h.40e01a0a9f2b9dcc_105" class="h
 JDwNd-AhqUyc-OiUrBf Ft7HRd-AhqUyc-OiUrBf jXK9ad D2fZ2 zu5uec OjCsFc dmUFtb 
 wHaque g5GTcb"><div class="jXK9ad-SmKAyb"><div class="tyJCtd mGzaTb Depvyb 
 baZpAe"><p class="zfr3Q CDt4Ke " dir="ltr"></div></div></div></div></div></
 div></div></div></div></section>
CATEGORIES:Fall 2025
LOCATION:Connor Auditorium
GEO:38.635470;-90.262723
ORGANIZER;CN="Michelle Gibbs":MAILTO:gibbsm@wustl.edu
URL;VALUE=URI:https://genetics.wustl.edu/events/event/su-inleephd/
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
DTSTART:20250309T080000
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