Multi-scale Modeling and Viral Pandemics (6/24/2021)

Contributors
Liesbet Geris, Virtual Physiological Human Institute (VPHI) EXECUTIVE DIRECTOR, university of Liège and KU Leuven in Belgium. Title: In silico medicine: bringing the community together and the field forward.

Rufus Pollock, Datopian, President and Founder. Title: Data Portals and Data Management for Accelerating Time to Insight
Institution/ Affiliation
Liesbet Geris, Virtual Physiological Human Institute (VPHI) EXECUTIVE DIRECTOR, university of Liège and KU Leuven in Belgium.

Rufus Pollock, Datopian, President and Founder.
Presentation Details (date, conference, etc.)

June 24, 2021, IMAG/MSM WG on Multiscale Modeling and Viral Pandemics

  1. Liesbet Geris, Virtual Physiological Human Institute (VPHI) EXECUTIVE DIRECTOR, university of Liège and KU Leuven in Belgium. Title: In silico medicine: bringing the community together and the field forward. Abstract: The use of computer modeling and simulation in medicine, also called in silico medicine, is taking big strides towards fulfilling its promise: contributing to a faster, safer and more personalised healthcare. In silico technologies are increasingly adopted in all aspects of healthcare, from prevention over diagnostics to treatment prediction and clinical follow-up. This progress is owed to a collaborative effort of a wide variety of stakeholders, from researchers to clinicians, from industry to regulators, and from policy makers to funders.  In recent years, FDA and ASME published guidelines and standards on reporting, verification and validation of computer models used in the context of medical devices. In Europe, regulators are working together with academia and industry to establish guidelines for the evaluation of in silico technologies (beyond the classical well-regulated pharmacometrics) in drug design and development. Organizations such as the Virtual Physiological Human institute (VPHi, the international scientific society for in silico medicine) and the Avicenna Alliance (the alliance of VPHi and industry) are driving initiatives that will further accelerate the adoption of in silico medicine. One such initiative is the work on ‘Good Simulation Practice’ which will be a quality standard defining how to assess and approve in silico tools before they can be used to produce regulatory evidence on the safety/efficacy of a new medical product. Another initiative is the Community Challenge for the adoption of consensus protocols for the characterization of biological tissue properties (C4bio), which will lead to a ‘certificates of birth’ for the generated data meeting regulatory requirements.   Key to all these initiatives is the involvement of multiple stakeholders, which ensures a wide basis for acceptance and uptake of the developed standards and guidelines and which is the only way to remove the remaining barriers for the full adoption of in silico medicine. YouTube and Slides.
  2. Rufus Pollock, Datopian, President and Founder.  Title: Data Portals and Data Management for Accelerating Time to Insight Abstract: Data Portals and Data Management System (DMS) have become essential tools in unlocking the value of data for organizations and enterprises ranging from the US government to Fortune 500 pharma companies, from non-profits to startups. They provide a convenient point of truth for discovery and use of an organization’s data assets.
    A Data Portal is a gateway to data. That gateway can be big or small, open or restricted. For example, data.gov (opens new window)is open to everyone, whilst an enterprise “intra” data portal is restricted to that enterprise (and perhaps even to certain people within it).
    A Data Portal’s core purpose is to enable the rapid discovery and use of data. However, as a flexible, central point of truth on an organizations data assets, a Data Portal can become essential data infrastructure and be extended or integrated to provide many additional features.
    The rise of Data Portals reflect the rapid growth in the volume and variety of data that organizations hold and use. With so much data available internally (and externally) it is hard for users to discover and access the data they need. And with so many potential users and use-cases it is hard to anticipate what data will be needed, when.
    Concretely: how does Jane in the new data science team know that Geoff in accounting has the spreadsheet she needs for her analysis for the COO? Moreover, it is not enough just to have a dataset’s location: if users are easily to discover and access data it has to be suitably organized and presented.
    Data portals answer this need: by making it easy to find and access data, a data portal helps solve these problems. As a result, data portals have become essential tools for organizations to bring order to the “data swamp” and unlock the value of data assets.  https://tech.datopian.com/data-portals/ YouTube and Slides.