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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Building an international consortium for tracking coronavirus health status.
Eran Segal,Feng Zhang,Feng Zhang,Xihong Lin,Gary King,Ophir Shalem,Smadar Shilo,Smadar Shilo,William E. Allen,Faisal Alquaddoomi,Han Altae-Tran,Han Altae-Tran,Simon Anders,Ran D. Balicer,Tal Bauman,Ximena Bonilla,Gisel Booman,Andrew T. Chan,Ori Cohen,Silvano Coletti,Natalie R. Davidson,Yuval Dor,David A. Drew,Olivier Elemento,Georgina Evans,Phil Ewels,Joshua Gale,Amir Gavrieli,Benjamin Geiger,Yonatan H. Grad,Casey S. Greene,Iman Hajirasouliha,Roman Jerala,André Kahles,Olli Kallioniemi,Ayya Keshet,Ljupco Kocarev,Gregory Landua,Tomer Meir,Aline Muller,Long H. Nguyen,Matej Orešič,Matej Orešič,Svetlana Ovchinnikova,Hedi Peterson,Jana Prodanova,Jay Rajagopal,Gunnar Rätsch,Hagai Rossman,Johan Rung,Andrea Sboner,Alexandros Sigaras,Tim D. Spector,Ron Steinherz,Irene Stevens,Jaak Vilo,Paul Wilmes +56 more
TL;DR: It is called upon the research community to standardize efforts to use daily self-reported data about COVID-19 symptoms in the response to the pandemic and to form a collaborative consortium to maximize global gain while protecting participant privacy.
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Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?
Carol Lynn Curchoe,Jonas Malmsten,Charles L. Bormann,Hadi Shafiee,Adolfo Flores-Saiffe Farias,Gerardo Mendizabal,Alejandro Chavez-Badiola,Alexandros Sigaras,Hoor Alshubbar,J Chambost,Céline Jacques,Chris-Alexandre Pena,Andrew J. Drakeley,Thomas Fréour,Iman Hajirasouliha,Cristina Hickman,Olivier Elemento,Nikica Zaninovic,Zev Rosenwaks +18 more
TL;DR: Although AI is the main driver of emergent technologies in reproduction, such as robotics, Big Data, and internet of things, it will continue to be the engine for technological innovation for the foreseeable future.
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The future of precision medicine: towards a more predictive personalized medicine.
TL;DR: An overview of the key factors driving adoption of precision medicine are provided and current research that may soon make precision medicine more predictive are highlighted.
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An efficient and accurate distance based algorithm to reconstruct tandem duplication trees
Olivier Elemento,Olivier Gascuel +1 more
TL;DR: DTSCORE is described, a fast distance based algorithm to reconstruct tandem duplication trees, which is statistically consistent and more accurate than all the other reconstruction methods studied.
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Demographic and genetic factors influence the abundance of infiltrating immune cells in human tissues
Andrew R. Marderstein,Manik Uppal,Akanksha Verma,Bhavneet Bhinder,Zakieh Tayyebi,Jason G. Mezey,Andrew G. Clark,Olivier Elemento +7 more
TL;DR: Human tissue transcriptomes from the Genotype-Tissue Expression project are analyzed to find infiltration patterns regulated by age, sex and host genetic information, and identify key factors influencing inter-individual variability of immune infiltration.