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METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260911T100000
DTEND;TZID=Asia/Seoul:20260911T120000
DTSTAMP:20260906T144428Z
CREATED:20260828T000744Z
LAST-MODIFIED:20260906T144428Z
UID:12992-1789120800-1789128000@www.ibs.re.kr
SUMMARY:Identification of predictive subphenotypes for clinical outcomes using real world data and machine learning - Myna Lim
DESCRIPTION:In this Journal club\, we will discuss the paper “Identification of predictive subphenotypes for clinical outcomes using real world data and machine learning”\, Weishen Pan et al.\, Nature Communications\, 2025. \nAbstract: \nPredicting treatment response is an important problem in real-world applications\, where the heterogeneity of the treatment response remains a significant challenge in practice. Unsupervised machine learning methods have been proposed to address this challenge by clustering patients with similar electronic health record (EHR) data. However\, they cannot guarantee coherent outcomes within the groups. Here\, we propose Graph-Encoded Mixture Survival (GEMS) as a general machine learning framework to identify distinct predictive subphenotypes that guarantee coherent survival and baseline characteristics within each subphenotype. We apply our method to a real-world dataset of advanced non-small cell lung cancer (aNSCLC) patients receiving first-line immune checkpoint inhibitor (ICI) therapy to predict overall survival (OS). Our method outperforms baseline methods for predicting OS and identifies three reproducible subphenotypes associated with distinct baseline clinical characteristics and OS. Our results demonstrate that our method can provide insights in the heterogeneity of treatment response and potentially influence treatment selection.
URL:https://www.ibs.re.kr/bimag/event/dissociating-the-intensity-and-phase-origins-of-sleepiness-through-a-threshold-distance-model-of-sleep-wake-dynamics-myna-lim/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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