Data & Science with Glen Wright Colopy

Originally developed in the Stanford biodesign ecosystem, the “needs-led” approach to healthtech innovation has rapidly become a key philosophy for those wanting to develop a viable healthcare solution.

Prof. Jeroen Bergmann and Daniel Mogefors from the Oxford Healthtech Labs break down the key aspects of needs-led innovation and how researchers at Oxford University are using it

We’ve got a great lineup of speakers on deck.

A quick explanation of who is coming on and why Glen has organized the episodes this way.

This is Part 2 of a two-part episode in which Allison treats the audience to a technical deep-dive into optimizing bespoke clinical models.

In Part 1 of the episode Allison talked about her background, research interests and the research that earned her a win in the ASA Student Paper Competition in 2017.

S00 Ep04 Pt01 with Allison Meisner: Predictive Models in Kidney Injury

This is Part 1 of a two-part episode in which Allison talks about her background, research interests and the research that earned her a win in the ASA Student Paper Competition in 2017.

In Part 2 she will treat the audience to a technical deep-dive into optimizing bespoke clinical models.

Part 3 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). 

This part discusses the MDD Idea Exchange and Bayesian p-values.

The other two parts of this episodes cover:

Part 1: MDD Section Activities

Part 2 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). 

This part discusses Bayesian Methods and Digital Health Initiatives.

The other two parts of this episodes cover:

Part 1: MDD Section Activities

Part 1 of a three part episode with Martin Ho and Greg Maislin, talking about the ASA Section on Medical Devices and Diagnostics (MDD). 

This part discusses the MDD Section Activities. 

The other two parts of this episodes will cover:

Part 2: Bayesian Methods and Digital Health Initiatives

Emma Hughes discusses how to find and cultivate technical entrepreneurial talent. She then talks about the critical challenge of making technical solutions sufficiently robust for clinical implementation.

This episode is Part 2 of a two part episode with yours truly, discussing personalized probabilistic patient monitoring.

In this part, Glen describes a nifty statistical approach to vital-sign artefact detection.

In the first part of this 2 part episode, Glen talks about using Gaussian Processes for identifying the deteriorating patient.

Part 1 of a two part episode with yours truly, discussing personalized probabilistic patient monitoring.

In this part Glen talks about Gaussian Processes for Identifying the Deteriorating Patient. 

The second part of this 2 part episode will describe a nifty statistical approach to vital-sign artefact detection.