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 {{ wiki:allofus.png?200x0}}
-{{ wiki:pacaresforus.png?300x0}}
+{{ wiki:allofuspa.png?200x0}}
-**2016 July** The University of Pittsburgh is [[https://projectreporter.nih.gov/project_info_details.cfm?aid=9228293|funded]] as one of the [[https://www.nih.gov/precision-medicine-initiative-cohort-program/healthcare-provider-organizations|Healthcare Provider Organizations]] for the national [[https://allofus.nih.gov/|All of Us Research Program]], which is a historic effort to gather data from 1 million people living in the United States. The goal of the program is to revolutionize how disease is prevented and treated based on individual differences in lifestyle, environment and genetics. The University of Pittsburgh program, called the [[https://pacaresforusresearch.org/|All of Us Pennsylvania Research Program]], will enroll 150,000 participants. See the {{wiki:university_times_pmi_highlighted.pdf|University Times}} and the  [[http://www.upmc.com/media/NewsReleases/2016/Pages/pitt-pmi.aspx|press release by the University of Pittsburgh]].
+**2016 July** The University of Pittsburgh is [[https://projectreporter.nih.gov/project_info_details.cfm?aid=9228293|funded]] as one of the [[https://www.nih.gov/precision-medicine-initiative-cohort-program/healthcare-provider-organizations|Healthcare Provider Organizations]] for the national [[https://allofus.nih.gov/|All of Us Research Program]], which is a historic effort to gather data from 1 million people living in the United States. The goal of the program is to revolutionize how disease is prevented and treated based on individual differences in lifestyle, environment and genetics. The University of Pittsburgh program, called the [[https://pacaresforusresearch.org/|All of Us Pennsylvania Research Program]], will enroll 120,000 participants. See the {{wiki:university_times_pmi_highlighted.pdf|University Times}} and the  [[http://www.upmc.com/media/NewsReleases/2016/Pages/pitt-pmi.aspx|press release by the University of Pittsburgh]].
 {{ wiki:lemur_transparent.png?150x0}}
 **2015 September** NLM R01 funded for [[https://projectreporter.nih.gov/project_info_details.cfm?aid=9030245|Development and evaluation of a learning electronic medical record system]]. Electronic medical records (EMRs) are capturing increasing amounts of patient data that can be leveraged by machine learning methods for computerized clinical decision support. This project focuses on developing a learning EMR system that uses machine learning to provide decision support using the right data, at the right time.