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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
February 27, 2015
New genetic variants improve personalized breast cancer diagnosis
Jie Liu, David Page, Peggy Peissig, et al.
Cancers
|
September 9, 2022
A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer
Molly J Carroll, Katja Kaipio, Johanna Hynninen, et al.
JAMA Network Open
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October 8, 2020
Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials
Fan Wang, Richard L Schilsky, David Page, et al.
Clinical Lymphoma, Myeloma & Leukemia
|
March 1, 2025
A Real-World Evaluation of Frontline Treatment for Acute Myeloid Leukemia With Azacitidine Plus Venetoclax
Joseph Brandwein, David Page, Elena Liew, et al.
Development (Cambridge, England)
|
December 1, 2019
Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium
Pilar Guerrero, Ruben Perez-Carrasco, Marcin Zagorski, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 15, 2018
A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization
Zhaobin Kuang, Yujia Bao, James Thomson, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record Data
Ross Kleiman, Finn Kuusisto, Ian Ross, et al.
Journal of Machine Learning Research : JMLR
|
June 1, 2017
Structure-Leveraged Methods in Breast Cancer Risk Prediction
Jun Fan, Yirong Wu, Ming Yuan, et al.
Knowledge and Information Systems
|
November 11, 2017
Markov Logic Networks for Adverse Drug Event Extraction from Text
Sriraam Natarajan, Vishal Bangera, Tushar Khot, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 20, 2014
Genetic variants improve breast cancer risk prediction on mammograms
Jie Liu, David Page, Houssam Nassif, et al.
Page
of 21
Search research articles
Search
Showing results (121-130 of 210) with videos related to
Sort By:
Page
of 21
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
February 27, 2015
New genetic variants improve personalized breast cancer diagnosis
Jie Liu, David Page, Peggy Peissig, et al.
Cancers
|
September 9, 2022
A Subset of Secreted Proteins in Ascites Can Predict Platinum-Free Interval in Ovarian Cancer
Molly J Carroll, Katja Kaipio, Johanna Hynninen, et al.
JAMA Network Open
|
October 8, 2020
Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials
Fan Wang, Richard L Schilsky, David Page, et al.
Clinical Lymphoma, Myeloma & Leukemia
|
March 1, 2025
A Real-World Evaluation of Frontline Treatment for Acute Myeloid Leukemia With Azacitidine Plus Venetoclax
Joseph Brandwein, David Page, Elena Liew, et al.
Development (Cambridge, England)
|
December 1, 2019
Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium
Pilar Guerrero, Ruben Perez-Carrasco, Marcin Zagorski, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
December 15, 2018
A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization
Zhaobin Kuang, Yujia Bao, James Thomson, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
July 2, 2019
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record Data
Ross Kleiman, Finn Kuusisto, Ian Ross, et al.
Journal of Machine Learning Research : JMLR
|
June 1, 2017
Structure-Leveraged Methods in Breast Cancer Risk Prediction
Jun Fan, Yirong Wu, Ming Yuan, et al.
Knowledge and Information Systems
|
November 11, 2017
Markov Logic Networks for Adverse Drug Event Extraction from Text
Sriraam Natarajan, Vishal Bangera, Tushar Khot, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
February 20, 2014
Genetic variants improve breast cancer risk prediction on mammograms
Jie Liu, David Page, Houssam Nassif, et al.
Page
of 21