Penn Medicine

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Apple Introduces ResearchKit, Giving Medical Researchers the Tools to Revolutionize Medical Studies

Press Release | Apple | March 9, 2015

Apple® today announced ResearchKit™, an open source software framework designed for medical and health research, helping doctors and scientists gather data more frequently and more accurately from participants using iPhone® apps. World-class research institutions have already developed apps with ResearchKit for studies on asthma, breast cancer, cardiovascular disease, diabetes and Parkinson’s disease.* Users decide if they want to participate in a study and how their data is shared. Read More »

Calling for Semantic Interoperability Standards That Enable Clinical Data Discovery

Brian Wells | Healthcare IT News | May 9, 2016

There are many promising initiatives underway that seek to combine rich clinical data from electronic health record systems running in provider sites across the county into large patient cohorts and then combine that data with genetic sequences created from samples provided by each patient in the cohort. The sponsors of these initiatives span industry, private foundations and the federal government. While the ambitious goals are commendable and the potential for discovery is worthy of the effort, there are data quality and semantic interoperability requirements that must be met prior to the combining of the clinical data...

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Open Source Penn Software Helps to Identify Course of Cancer Metastasis, Tumor "Evolution"

Press Release | Penn Medicine | September 9, 2016

Researchers have come to realize that cancer is a disease driven by the same “survival of the fitter” forces that Darwin proposed drove the evolution of life on Earth. In the case of tumors, however, individual cells are constantly evolving as a tumor’s stage advances. Mobile cancer cells causing metastasis are a deadly outcome of this process. Tumors also differ among patients with the same type of cancer, so how is a physician able to prescribe a tailored regimen for the patient? To start to address this conundrum, an interdisciplinary team from the Perelman School of Medicine and the Wharton School at the University of Pennsylvania developed Canopy...

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Penn Medicine Launches First Apple ResearchKit App for Sarcoidosis Patients

Press Release | Penn Medicine | January 17, 2017

Penn Medicine today launched its first Apple ResearchKit app, focused on patients with sarcoidosis, an inflammatory condition that can affect the lungs, skin, eyes, heart, brain, and other organs. The effort marks Penn’s first time using modules from Apple’s ResearchKit framework, as part of the institution’s focus on mobile health and innovative research strategies. ResearchKit is an open source software framework designed specifically for medical research that helps doctors and scientists gather data more frequently and more accurately from participants using an iPhone...

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Penn Medicine Releases Open Source, 'Self-Service' Artificial Intelligence Tool for Data Analytics

Press Release | Penn Medicine | May 16, 2019

The Penn Medicine Institute for Biomedical Informatics has launched a free, open-source automated machine learning system for data analysis that is designed for anyone to use, from a high school student looking to gain insight on their baseball team's statistics, to trained researchers looking for associations between cancer and environmental factors. "Penn AI," the first widely available tool of its kind, seeks to lower the barrier for entry into artificial intelligence, allowing users to bring in their own datasets or use the several hundred that are available for download within the tool. With a user-friendly dashboard easily run on a laptop, Penn AI is also designed to learn as it goes, ultimately making analysis suggestions based on the "experience" it gains through use.

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Penn Research Team Receives $5 Million Grant to Use Big Data to Improve Health

Press Release | Penn Medicine | February 23, 2016

A team of physicians and researchers across Penn Medicine and the University of Pennsylvania have been awarded a four-year $5 million grant to develop and test algorithms aimed at predicting adverse health events in real time. The project, Smarter Big Data for a Healthy Pennsylvania: Changing the Paradigm of Healthcare, is funded by the Commonwealth Universal Research Enhancement (CURE) program, and will examine the use of the algorithms in the hospital, at home, and in the community...

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Readmissions 'Drop Like A Rock' With Predictive Modeling

Scott Mace | HealthLeaders Media | October 8, 2013

Predictive modeling offers the key to understanding which healthcare services most affect utilization, readmissions, and payment, and how to tackle the outliers. These analytics are within the grasp of any healthcare system. Read More »