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Join SMBQ this November for a public digital health debate, interdisciplinary networking & more!

Author:Author Caroline Gillett
Published: Posted on
13 October 202017 May 2021

Professor John Terry is the Director of the Centre for Systems Modelling & Quantitative Biomedicine (SMQB) and also IMSR’s research theme lead for this area of work, which aims to transform lives through quantitative biomedical and clinical research. The SMQB are a group of research innovators with backgrounds in mathematics, computer science, physics and biomedicine. They apply these skills to help improve healthcare, to make a difference to patients lives. This November the SMQB are hosting two events which may be of interest. Please do share details of these events with colleagues, friends or family who may be interested!

Midlands Digital Health Debate poster for event on November 4th 2020

 

Event 1: Midlands Digital Health Debate, Wednesday 4th November 2020, 2-4pm BST (Open to everyone)

Have you ever wondered what the term ‘digital health’ means? Join SMQB to find out and learn how health data science can benefit the everyday people of Birmingham and the wider Midlands region.
  • “What’s in it for you?”
  • “How has covid-19 demonstrated the importance of data health science?”
  • “What are the benefits or potential pitfalls of sharing patient data from the NHS and social care?”
  • “What opportunities do engaging and investing in digital healthcare and health data science open up for young people, as future decision-makers, scientists and citizens of this progressive region?”
  • “Why is health data needed for research and innovation?”
  • “Can data from your smart watch be used by researchers to improve future healthcare?”
  • “How can we use more data-driven technologies such as artificial intelligence to help diagnose diseases, gain better insights into treatments and preventions that could benefit society?”
  • “Is current law and policy on health data fit for purpose and how is my data protected?”
  • “What are your views on how your data could and should be used in future?”
Join us to explore, define and shape the answers to questions like this together, to ensure future plans address regional healthcare priorities in the Midlands. Find out more and register here. All welcome!

Poster for SMQB networking event on Nov 18th, 2020

Event 2: Interdisciplinary Research: Virtual Mixer, Wednesday 18th November 2020, 3-5pm BST

Interested in developing a healthcare-focused research idea or project, but need interdisciplinary collaborators? Join SMQB this November!
  • Work in biology, biomedicine, clinical sciences or quantitative disciplines (e.g. maths, computer science) as a researcher, industry professional or clinician?
  • Interested in piloting new research ideas or interrogating existing datasets in novel ways, working with collaborators who have complementary skills?
  • Seeking skills development and/or knowledge exchange opportunities, including a potential short term secondment?
  • Passionate about improving lives through helping advance healthcare and medicine?

If you’ve answered yes to any of the above and work at University of Birmingham or Birmingham Health Partners (UHB, QE, BWC) or if you are simply curious to know more, then we’d love for you to SMQB, for a free online event showcasing case studies of existing interdisciplinary research collaborations with SMQB, as well as a virtual networking session.

Find out more and register here.

Our mixer event is open to all University of Birmingham researchers and clinicians working in Birmingham Health Partners e.g. QEHB, BWC etc. Please also get in touch if you work in industry/health technology and would be interested to join.

We hope to see you there! If you have questions about either event, feel free to email us at smqb@contacts.bham.ac.uk

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Categories: Categories Collaborate, Event, Interdisciplinary, Online, Participate, Public Engagement, SMQB, Uncategorised
Tags: Tags biomedicine, computational modelling, computer science, data science, digital health, interdisciplinary, mathematics, quantitative, SMQB

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