Medicine, Big Data
Neuroscience • Medicine • Biotech • Deep Learning • Digital Biology • Artificial Intelligence • Data Science
Michael Gillam, MD, FACEP, is CEO of HealthLab, a discovery automation company for “big data” in healthcare. He helped build and sell companies to both WebMD and Microsoft and is dual board certified in emergency medicine and medical informatics. He served as a partner level executive in Microsoft and is former founding director of the Microsoft Healthcare Innovation Lab. Dr. Gillam has served as Chair of Informatics for both the Society for Academic Emergency Medicine and the American College of Emergency Physicians. He has advised health ministries, Fortune 500 companies, and NGOs regarding their healthcare data strategies nationally and internationally including China and the Middle East. He served as the chief clinical judge for the Qualcomm Tricorder XPRIZE and as a judge on the Nokia Sensing XPRIZE and IBM AI XPRIZE. He has run innovation labs in Microsoft and in Washington D.C. for over ten years spanning projects including: big data, machine intelligence, natural language processing (NLP), gesture based interfaces, electronic and personal health records (EHRs & PHRs), augmented reality and medical robotics.
From the six D’s characterizing the disruptive trends of the digital age to the major principles underlying exponential thinking, with examples spanning a broad variety of fields, this talk builds a foundation for applying exponential thinking to making an impact today and through the disruptive years ahead.
Today, the foundational strategies for a modern company to survive relies on data. Data is bigger and faster than ever before. It is said that if you are not a software company today, you will be beaten by a competitor that is. Leveraging data is core to that transition. Exponentially advancing trends in machine intelligence, big compute, data automation, sensors and the Internet of Things is changing every aspect of the opportunities for how we leverage, manage and execute data strategy for our companies today. From data liquidity to centricity, late binding and virtuous cycles, the foundations for building data strategies in companies today are more important than ever for surviving in this age of exponentials.
Some say healthcare trends are linear and point to costs that are rising and treatments that are slow to arrive. This limited view sees islands of stasis while missing oceans of exponential change. Exponential trends in miniaturization, gene therapeutics, machine learning, robotics, energy, and computation are transforming the future opportunities in healthcare. This talk aims to catapult companies forward to glimpse the leading scalpel’s edge of digital health trends to help those ride and thrive on the next waves of revolution in healthcare.
Answering the question “when” can be the difference between the blockbuster launch of the iPhone or the canceled Apple Newton. New classes of data are at the foundation of the biggest companies today: Amazon couldn’t have launched without a digital catalog of books, Uber and Lyft couldn’t exist without digital maps. Building on the principles of Exponential Data, this talk paints a picture of the myriad new data “inevitable future” summits expected over the next 15 years for those who plan to create value in the dsruptive decades ahead.
In a world that is changing exponentially, there are questions every company has to answer. Whether one’s company grows in the digital age is a function not only of execution but also new foundations. This talk covers examples of how companies build strategies around inevitable futures and build base layers to be a part of those futures.
Comprehensive overview of what is in the lab today and what is coming to market in the next 2 to 10 years. The presentation will concentrate on breakthrough developments ranging from 3D printing to organ regeneration, from point-of-care lab-on-a-chip diagnostics to large-scale bioinformatics; from synthetic biology to new gene based therapies. All of these and more are discussed in the context of current explosions of digital information and distributed healthcare.