Data & Science with Glen Wright Colopy

S01 Episode 16 with John Nardini Part 2: Machine Learning and Mathematical Modeling of Wound Healing

John is back to show the how machine learning can vastly speed up the selection of mathematical models. His presentation provides great visual intuition on how machine learning methods can help select mathematical models, even as measurement noise increases. It’s a huge improvement over selecting models by hand!

S01 Episode 16 with John Nardini Part 1: Machine Learning and Mathematical Modeling of Wound Healing

John discusses his work in the precision medicine program at the Statistical and Applied Mathematical Sciences Institute (SAMSI) to model wound healing. He describes the physiological mechanisms of wound healing and how to select a applications that are appropriate for mathematical modelling.

S01 Episode 15 with Rita Hendricusdottir: Oxford Global Guidance to Navigate Medical Device Regulations

Rita Hendricusdottir (Department of Engineering Science, University of Oxford) show cases a new tool to help innovators quickly assess the regulatory buden of their medical devices. From answering the simple question of “Is my invention a medical device?” to the complex considerations for “which classification is my device?” the Oxford Global Guidance tool is designed to facilitate this initial evaluation.

S01 Episode 14 Part 2 with Mike McArdle: Virtual and Augmented Reality for Medical Training

Mike McArdle, co-founder and Chief Product Officer at Lucid Dream VR, is back to walk us through applications of VR that helps clinicians train for rare events and better understand the patient’s experience.

S01 Episode 14 Part 1 with Mike McArdle: Virtual and Augmented Reality for the Life Sciences

Mike McArdle, co-founder and Chief Product Officer at Lucid Dream VR, breaks down the key technological factors that have led to the rapid increase in VR and AR solutions for the life sciences. He then walks us through two products helping companies and hospitals to accelerate training and talent development on their staff.

Early Career Services in Statistics and Data Science - Wendy Martinez @Pod of Asclepius

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You can find the Virtual Undergraduate Career Fair here: https://ww2.amstat.org/virtualcareerservice/

 

S01 Ep13 with Stephanie Hicks: Data Science Education and the upcoming tracks at SDSS 2020

A mini-epsidoe with (fellow data science podcaster) Stephanie Hicks. Stephanie highlights the keynote speakers at SDSS 2020 along with the conference themes.

Stephanie will be returning in a few weeks to discuss her own research at the nexus of data science, genomics, and public health.

S01 Episode 12 with Paul Elbers: AmsterdamUMCdb, Europe’s first open ICU database

It’s not everyday that medical researchers give the world access to 13+ years of dense, high-quality critical care data. Intensivist Paul Elbers describes the data set along with the clinical priorities in collecting the data. Paul covers a range of topics including protecting the patients’ interests and anonymity, a clinician’s priorities when selecting clinical performance metrics, and the stages of validating predictive algorithms up to the stage of an RTC. The work done to create AmsterdamUMCdb is an incredible feat and a huge boon to the medical science profession.

S01 Ep11 with Dave Hunter: Disease Network Modeling, Mixture Models, & Career Opportunities at SDSS 2020

Dave Hunter highlight a variety of cool life science collaborations he has worked on, including the network models used to describe AIDS transmissions and mixture modelling to describe pediatric cognitive tests. We then talk about the upcoming SDSS 2020 conference, and its newest additions to benefit early career researchers.

S01 Ep10 with David Madigan and Demissie Alemayehu: Risks and Opportunities of AI in Clinical Drug Development

There are many places in which ML/AI methods can be of benefit to pharmaceutical research (several have already been covered on the show). David and Demissie explain where AI can fit in to in vivo studies, which carries it’s own benefits, but also with heightened risk to to human test subjects. They go on to cover several other areas of interest including AI for observation studies and real world evidence. It’s a “big tent” conversation as we lead up to the Pfizer/ASA/Columbia University Symposium on Risks and Opportunities of AI in Clinical Drug Development.

Mihaela van der Schaar will be following up in a subsequent episode on this subject.