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Blog Topic: Big Data

  • ai

    Penn’s New Artificial Intelligence Assistant

    November 20, 2017

    Penn's Jason Moore — director of the Institute for Biomedical Informatics — is developing something like an assistant for medical researchers to bring the buzzed-about tools of artificial intelligence into the regular toolbox for investigators who aren’t computer programmers.

  • app

    The App Doctors Want You to Delete

    October 06, 2017

    Debbie Cohen, MD, director of the Clinical Hypertension Program at Penn Medicine, doesn’t mince words when talking about the smartphone apps and kiosks in malls and pharmacies that take blood pressure. “People shouldn’t be using them,” said Cohen. “The readings can be completely inaccurate.”

  • sarcoidosis

    Rare Disease Revolution: Changing Research Through an App

    June 07, 2017

    Ever since Apple rolled out its ResearchKit framework two years ago, valuable data collected from the iPhones of patients who opt-in has poured into medical centers investigating better ways to study and treat diseases. The latest foray into mobile research technologies comes from researchers in Penn Dermatology, who recently launched a ResearchKit app focused on sarcoidosis.

  • big data

    Mining the Data Mother Lode

    June 05, 2017

    One of the newest entities with the Penn Institute for Biomedical Informatics, the Health Language Processing Lab combines social media content with other sources of health information in a unique way aimed at understanding how people use language to communicate health needs.

  • heart_teaser

    The Little Algorithm That Could

    February 01, 2017

    The Penn Medicine Heart Failure Solution has come a long way over the last two years; what started as an equation involving 30-some patient characteristics has been whittled down to an almost exact science. Today, that little algorithm has developed into a whole new strategy for managing heart failure patients—and it’s keeping them healthier and out of the hospital longer.

  • er_tease

    Can Big Data Help Cancer Patients Avoid ER Visits?

    January 27, 2017

    What if doctors could look into a crystal ball and predict which of their patients might be at risk of getting sick enough to go to the emergency room—and use that prediction to help patients get treatment more quickly, with a greater chance of returning home? For at least one group of patients, that’s exactly what researchers at Penn Medicine are trying to do.

  • bigdata_teaser

    PennSeek is the "Google" of EMRs

    January 25, 2017

    Genetic sequencing technology has generated a vast amount of biomedical data in the past ten years. Along with that, the technology has become cheaper, faster and more accurate. This month, the Penn Center for Precision Medicine Accelerator Fund awarded its first grants to eight research teams for personalized medicine projects across a gamut of clinical specialties, from lung cancer to infectious disease to knee surgery, each making use of “big data” in different ways.

  • hiv_twitter_thumb

    Twitter’s Role in the Fight Against HIV

    January 23, 2017

    Twitter isn't just a platform to read news, engage with like-minded individuals, launch insults or give praise. It's also a far-reaching and revealing digital "petri dish" to study human behavior that may help predict disease outbreaks, like HIV, and inform public health efforts, as several studies and social media experts have shown over the last few years.

  • podcast_tease

    Getting a Medical Education from Your Headphones

    January 20, 2017

    Stacks of textbooks and medical journals may soon go the way of the Dodo for many physicians looking to stay updated on latest medical research and breakthroughs. Digital learning tools, such as podcasts, are the way of the future—at least, according to Penn Medicine resident physician in Neurology, James Siegler, MD.

  • data_tease

    Big Ideas for Big (ish) Data

    January 18, 2017

    I sat down with Mike Draugelis, former Lockheed Martin missile defense engineer turned Penn Medicine’s Chief Data Scientist, to learn a bit more about the topic, the use of big data in health care and beyond, and the future of the industry.

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