Elif Tama

Appearances

PERFORMANCE OF A MACHINE-LEARNING GENE RISK SCORE BIOMARKER ON PREDICTING RESPONSE TO SEMAGLUTIDE: A PROSPECTIVELY FOLLOWED MULTI-CENTER BIOBANK AND OUTCOMES REGISTRY
Date
May 20, 2024
BACKGROUND: Our phenotype-guided approach to antiobesity medications is associated with greater weight loss compared to the obesity medicine standard of care…
Presenter
Sima Fansa
Speakers
Elif Tama
Diego Anazco
Lizeth Cifuentes
Wissam Ghusn
Khushboo Gala
Elle Kolkin
Timothy O'Connor
Andres Acosta
Mayo Foundation for Medical Education and Research
Maria Hurtado
SATIATION TESTING AND A SURROGATE MACHINE-LEARNING ASSISTED GENE RISK SCORE BIOMARKER PREDICT DIFFERENTIAL RESPONSES TO LIFESTYLE INTERVENTIONS: A POST-HOC ANALYSIS OF A SINGLE CENTER, NON-RANDOMIZED CLINICAL TRIAL
Date
May 21, 2024
INTRODUCTION: A phenotype-tailored lifestyle intervention (PLI) has shown superior outcomes when compared to a standard lifestyle intervention (SLI) in a 12-week trial (PMID: 37007741). However, phenotype testing for obesity is time-consuming, expensive, and not widely accessible…
Presenter
Diego Anazco
Speakers
Lizeth Cifuentes
Sima Fansa
Wissam Ghusn
Alejandro Campos
Elif Tama
Khushboo Gala
Jessica Stutzman
Megan Schaefer
Donald Hensrud
Maria Hurtado
Andres Acosta
Mayo Foundation for Medical Education and Research