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DTSTART:20241103T020000
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DESCRIPTION:SPEAKER : Nabihah Tayob\, PhD\, Assistant Professor\, Departme
 nt of Data Science\, Dana-Farber Cancer Institute and Department of Medic
 ine at Harvard Medical School TITLE : "Personalized Statistical Learning 
 Algorithms to Improve the Early Detection of Cancer using Longitudinal Bi
 omarkers” ABSTRACT: The early detection of hepatocellular carcinoma (HCC)
  is critical to improving outcomes since advanced HCC has limited treatme
 nt options. Blood-based biomarkers are a promising direction since they a
 re more easily standardized and less resource intensive than standard of 
 care imaging. Combining multiple biomarkers is more likely to achieve the
  sensitivity required for a clinically useful screening algorithm and the
  longitudinal trajectory of biomarkers contains valuable information that
  should be utilized. We have developed two personalized statistical learn
 ing algorithms that use longitudinal biomarkers to improve the early dete
 ction performance. The first is a multivariate fully Bayesian algorithm (
 mFB) that models the joint biomarker trajectory and uses the posterior ri
 sk of HCC estimate to make screening decisions. The second is a multivari
 ate parametric empirical Bayes (mPEB) screening approach that defines per
 sonalized thresholds for each patient at each screening visit to identify
  significant deviations that trigger additional testing with more sensiti
 ve imaging. The Hepatitis C Antiviral Long-term Treatment against Cirrhos
 is (HALT-C) trial provides a valuable source of data to study HCC screeni
 ng algorithms. We study the performance of the mFB and mPEB algorithm app
 lied to serum alpha-fetoprotein\, a widely used HCC surveillance biomarke
 r\, and des-gamma carboxy prothrombin\, an HCC risk biomarker that is FDA
  approved but not used in practice in the United States. We will also dis
 cuss validation of these algorithms in contemporary cirrhosis cohorts. YS
 PH values inclusion and access for all participants. If you have question
 s about accessibility or would like to request an accommodation\, please 
 contact Charmila Fernandes at Charmila.fernandes@yale.edu . We will try t
 o provide accommodations requested by April 30\, 2024.\n\nSpeaker:\nNabih
 ah Tayob\, PhD\n\nAdmission:\nFree\n\nFood:\nBreakfast\n\nDetails URL:\nh
 ttps://medicine.yale.edu/event/ysph-biostatistics-seminar-tba-5-7-24-copy
 -copy/\n
DTEND;TZID=America/New_York:20240507T103000
DTSTAMP:20260405T070145Z
DTSTART;TZID=America/New_York:20240507T093000
GEO:41.303509;-72.931937
LOCATION:101\, 60 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar:  "Personalized Statistical Learning Al
 gorithms to Improve the Early Detection of Cancer using Longitudinal Biom
 arkers"
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