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Journal of the American Medical Informatics Association : JAMIA
|
September 18, 2013
Medical decision support using machine learning for early detection of late-onset neonatal sepsis
Subramani Mani, Asli Ozdas, Constantin Aliferis, et al.
Journal of the American Medical Informatics Association : JAMIA
|
April 26, 2013
Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy
Subramani Mani, Yukun Chen, Xia Li, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning
Subramani Mani, Yukun Chen, Lori R Arlinghaus, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 11, 2017
Formalizing drug indications on the road to therapeutic intent
Stuart J Nelson, Tudor I Oprea, Oleg Ursu, et al.
Bioinformatics (Oxford, England)
|
April 12, 2017
TIN-X: target importance and novelty explorer
Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, et al.
Nucleic Acids Research
|
December 2, 2016
Pharos: Collating protein information to shed light on the druggable genome
Dac-Trung Nguyen, Stephen Mathias, Cristian Bologa, et al.
Nature Reviews. Drug Discovery
|
February 24, 2018
Unexplored therapeutic opportunities in the human genome
Tudor I Oprea, Cristian G Bologa, Søren Brunak, et al.
Nature Reviews. Drug Discovery
|
March 24, 2018
Unexplored therapeutic opportunities in the human genome
Tudor I Oprea, Cristian G Bologa, Søren Brunak, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 18) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 18 results.
Journal of the American Medical Informatics Association : JAMIA
|
September 18, 2013
Medical decision support using machine learning for early detection of late-onset neonatal sepsis
Subramani Mani, Asli Ozdas, Constantin Aliferis, et al.
Journal of the American Medical Informatics Association : JAMIA
|
April 26, 2013
Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy
Subramani Mani, Yukun Chen, Xia Li, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
December 24, 2011
Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning
Subramani Mani, Yukun Chen, Lori R Arlinghaus, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 11, 2017
Formalizing drug indications on the road to therapeutic intent
Stuart J Nelson, Tudor I Oprea, Oleg Ursu, et al.
Bioinformatics (Oxford, England)
|
April 12, 2017
TIN-X: target importance and novelty explorer
Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, et al.
Nucleic Acids Research
|
December 2, 2016
Pharos: Collating protein information to shed light on the druggable genome
Dac-Trung Nguyen, Stephen Mathias, Cristian Bologa, et al.
Nature Reviews. Drug Discovery
|
February 24, 2018
Unexplored therapeutic opportunities in the human genome
Tudor I Oprea, Cristian G Bologa, Søren Brunak, et al.
Nature Reviews. Drug Discovery
|
March 24, 2018
Unexplored therapeutic opportunities in the human genome
Tudor I Oprea, Cristian G Bologa, Søren Brunak, et al.
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of 2