W5. Giving the Personalized Digital Health Ecosystem a FAIRshake

TUESDAY, APRIL 21 | 8:30 - 11:30 AM

ABOUT THIS WORKSHOP:

The workshop will first cover the practical aspects of making digital resources more FAIR. This includes documented API, metadata that follows community standards, and protocols to make metadata understood by humans and computers. Next, we will show the opportunities that emerge when following these guidelines. First, we will discuss examples from systems biology that show how data integration can lead to the discovery of novel drug targets. Next, we will discuss how wearables and other technologies can track patient health overtime in real-time to inform better diagnosis to improve clinical trials.

TOPICS TO BE COVERED:

  • FAIRshake – A platform to assess the FAIRness of biomedical digital objects
  • Drug and target discovery pipelines based on -omics integration
  • Making biomedical data FAIR
  • Bioinformatics tools for drug discovery
  • General purpose FAIR- and cloud-ready platform for hosting biomedical research data (Signature Commons)
  • Making digital health data FAIR
  • Tracking patients in real-time over time with wearables and other means
  • Innovation in digital health data collection and integration
  • Transforming clinical trials

WHO SHOULD ATTEND:

Drug discovery researchers from academia and industry; IT professionals; digital health and biomedical informatics experts from academia and industry.

INSTRUCTORS:

Lahav_AmirAmir Lahav, ScD, Digital Health Innovation Consultant

I’m a neuroscientist and biomedicalist working at the intersection of clinical innovation, digital biomarkers, and patient technology. I strive to transform the way we do clinical trials while understanding barriers to change. I believe in the power of real-world data. I’m working to validate novel digital endpoints that are clinically meaningful for patients, families, and regulators. This could reduce cost and duration of clinical trials and may help mitigate some of the inefficiencies in drug development process. I’m also developing digital solutions for improving patient experience and retention in clinical trials using engaging gamification strategies. I served as a scientific medical advisor for several companies and hospitals and have contributed to the development and design of a number of inventions in the medical device space. As a composer and trained musician, I have always been fascinated by how motion and sounds shape the human brain and have conducted several studies to examine these sensory-motor effects across different brain imaging modalities and digital rehab technology. I’m grateful for the time I spent in academia as a prof. of Pediatrics, Epidemiology, and Neurology faculty at Harvard Medical School. I have had the pleasure of mentoring a matrix group of talented students and research fellows. With their help, I published 45 scientific publications and have given over 130 conference presentations in US and Europe.

Ma'ayan_AviAvi Ma’ayan, PhD, Professor, Department of Pharmacological Sciences; Director, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai

The research in the Ma'ayan Lab involves applying computational methods to study the complexity of regulatory networks in mammalian cells. We develop algorithms and software to study how regulatory networks control cellular processes such as differentiation, dedifferentiation, apoptosis, and proliferation. Our main focus is in developing methods that link changes in gene expression to transcriptional regulators and cell signaling pathways. To achieve this, we develop web-based bioinformatics software tools and databases that enable biologists to perform enrichment and network analyses to find new knowledge about single genes, gene sets, and drugs. Using these tools, we work closely with experimentalists on projects that utilize high-throughput profiling to understand cell regulation at the global scale. So far, we published over 160 peer-reviewed articles where several of them in top-tier journals. Over the past 12 years, about 100 trainees, including postdoctoral fellows, graduate and medical students, undergraduates, and high school students contributed to the laboratory work. The Ma’ayan Lab members participate in educational and outreach activities including delivering two MOOCs on the Coursera platform, a summer undergraduate research program, and two in-class graduate courses.

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