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Photonics for Medical Diagnostics

Event details
Wednesday, 27 May 2020
10:00 am – 12:00 pm
This event will be live streamed via webcast
Overview
The Photonics for Medical Diagnostics webinar will explore how photonics technology can be used to provide rapid and accurate diagnoses of disease.

This webinar, delivered by KTN in partnership with Hamamatsu Photonics, will highlight current funding opportunities, including specific Covid-19 actions.

 

The event is aimed at photonics companies/researchers and end-users that are developing photonics-related healthcare technology, with a focus on medical diagnostics. It will also be relevant for photonics and related technology companies more widely, as it will look at different uses of the technology and offer networking opportunities.

 

The morning session will highlight some current research, looking at different uses of photonics for medical diagnostics with the aim of stimulating interest and future collaborations. Photonics has wide applicability across healthcare, and this is more relevant than ever in the current climate, where new technology developments are needed to address the global challenge. It is vital that disruptive photonics technologies move swiftly from lab bench to the market and so the technical talks will be followed by an overview of current funding opportunities, including the latest Covid-19 related calls.

 

Speaking at the event will be:

  • Dr Peter Seitz – CTO epyMetrics AG, Chief Technologist Hamamatsu
  • Richard Harvey – Group Leader Medical Technologies Hamamatsu
  • Dr Katjana Ehrlich – Proteus IRP, University of Edinburgh
  • Mat Wasley – Photonics, KTN

 

Online networking will be on offer in the afternoon using Meeting MoJo. Delegates are strongly encouraged to register a profile and take part in the one to one networking meetings. They will enable conversations with other attendees and with the speakers, as would be available during a physical event.

 

Follow the link below to find out more about this event and to register.