O
Olivier Elemento
Researcher at Cornell University
Publications - 596
Citations - 38936
Olivier Elemento is an academic researcher from Cornell University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 82, co-authored 471 publications receiving 27739 citations. Previous affiliations of Olivier Elemento include Princeton University & Max Planck Society.
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African-Ancestry Associated Gene Expression Signatures and Pathways in Triple Negative Breast Cancer, a Comparison Across Women of African Descent
Rachel Martini,P. Delpe,Timothy Chu,K. Arora,B. Lord,Ankur Verma,Y. Chen,Endale Hadgu Gebregzabher,Joseph K. Oppong,Ernest Adjei,Aisha Jibril,Baffour Awuah,Mulusew Bekele,Edgeit Abebe,Ishmael Kyei,Frances S. Aitpillah,Michael O. Adinku,Kwasi Ankomah,Ernest Osei-Bonsu,Dhananjay Chitale,Jessica Bensenhaver,S. David Nathanson,Latoya Jackson,Evelyn Jiagge,Lindsay Petersen,Erica Proctor,Kofi Gyan,Lee D. Gibbs,Z. Monojlovic,Rick A. Kittles,Jerome White,Clayton Yates,Upender Manne,Kathleen Gardner,Nigel P. Mongan,Edith Cheng,Paula S. Ginter,Shams Hoda,Olivier Elemento,Nicolas Robine,Andrea Sboner,John D. Carpten,Leslie C. Newman,M. B. Davis +43 more
TL;DR: Using genetic ancestry estimation in this African-enriched cohort of AAs, west and east Africans with TNBC, RNAseq revealed tumor-associated immune cell infiltration and activity and identified 613 genes associated with African ancestry and more than 2200 gene associated with regional-level African ancestry.
Journal ArticleDOI
Whole exome sequencing to reveal chemotherapy-driven evolution of platinum-resistant metastatic urothelial cancer.
Bishoy Faltas,Himisha Beltran,Davide Prandi,Kenneth Eng,Chantal Pauli,Brian D. Robinson,Juan Miguel Mosquera,David M. Nanus,Scott T. Tagawa,Olivier Elemento,Francesca Demichelis,Mark A. Rubin +11 more
TL;DR: The objective was to understand chemotherapy-driven molecular evolution of metastatic PRUC by sequencing matched pairs of treatment-naive primary UC and metastaticPRUC from each patient.
Journal ArticleDOI
A big-data method to predict the targets of small molecules and accelerate drug discovery
Posted ContentDOI
Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging
Pegah Khosravi,Maria Lysandrou,Mahmoud Eljalby,Matthew Brendel,Qianzi Li,Qianzi Li,Ehsan Kazemi,Josue Barnes,Pantelis Zisimopoulos,Alexandros Sigaras,Camir Ricketts,Dimitri Meleshko,Andy Yat,Timothy D. McClure,Brian D. Robinson,Andrea Sboner,Andrea Sboner,Olivier Elemento,Bilal Chughtai,Iman Hajirasouliha +19 more
TL;DR: Artificial Intelligence can be trained on prostate cases where both imaging and biopsy are available to distinguish aggressive prostate cancer from non-aggressive lesions using MRI imaging only, that is, without the need for a biopsy, which provides a data-driven and reproduced way to assess cancer aggressiveness from MRI images.