Cinq travaux de l’équipe vont être présentés au congrès de l’ASCO du 31 mai au 4 juin 2019 :
Audureau E et al. (Communication orale) “Using Machine learning to predict mortality in older patients with cancer : decision-tree and random forest analyses from the ELCAPA AND ONCODAGE prospective cohorts”
- Lien interview France Inter E. Audureau : https://kmplus.kantarmedia.com/Public/IndexReview?ticket=96F31752B74B9DF...
- Lien interview La Croix E Audureau : https://www.la-croix.com/Sciences-et-ethique/Sante/Lintelligence-artificielle-elle-predire-mortalite-patients-ages-atteints-cancer-2019-06-04-1201026612
- Lien interview AP-HP F. Canouï-Poitrine : https://dispose.aphp.fr/u/172jICK9o6vFvaMk/Pr Florence Canoui-Poitrine.mp4?l
Paillaud E et al (Poster) ”Prognostic value of routine biomarkers in older patients with cancer : pooled analysis of three prospective cohorts”
Paillaud E et al (Poster) ”Implementation of complex peri-operative intervention in older patients with cancer (IMPROVED program)”
Assouan D et al (Poster) “Cancer-specific mortality in the presence of competing causes of death among older adults, and the effect of geriatric factors on cancer mortality: a prospective, multicenter cohort study”
Martinez-Tapia C et al (Poster) “Obesity paradox in older cancer patients for middle and long-term mortality: a prospective multicentre cohort study”