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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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Effective Combination Therapies for B-cell Lymphoma Predicted by a Virtual Disease Model

TL;DR: This work constructed a detailed kinetic model of the BCR signaling network, which captured the known complex cross-talk between the NFκB, ERK, and AKT pathways and multiple feedback loops and exhaustively predicted and ranked the efficacy and synergism of all possible combinatorial inhibitions of eleven currently targetable kinases in the B CR signaling network.
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Melanoma genome evolution across species.

TL;DR: There is a highly significant enrichment of these alterations in human patients with vemurafenib resistant disease, and targeting of alterations that are conserved between zebrafish and humans may offer new avenues for therapeutic intervention.
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Whole-genome characterization of lung adenocarcinomas lacking the RTK/RAS/RAF pathway

Jian Carrot-Zhang, +56 more
- 02 Feb 2021 - 
TL;DR: In this article, the authors used whole-genome sequencing (WGS) of 85 cases found to be RPA(-) by previous studies from The Cancer Genome Atlas (TCGA) to characterize the minority of lung adenocarcinoma (LUAD) lacking apparent alterations in this pathway.
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Adenomyoepithelial tumors of the breast: molecular underpinnings of a rare entity.

TL;DR: The molecular characteristics of the spectrum of AME tumors of the breast, which harbor alterations in the PI3K/AKT pathway are described and are clinically relevant with respect to the current options of targeted therapy in the rare instances where malignant AME tumor progress.
Posted ContentDOI

EthSEQ: ethnicity annotation from whole exome sequencing data

TL;DR: EthSEQ is implemented to provide reliable and rapid ethnicity annotation from whole exome sequencing individual's data and validated it on 1,000 Genome Project and TCGA data demonstrating high precision (>99%).