Join Florence Townend (@florencetownend) and Davy Tennison (@davytennison), PhD students at University College London, as they explore the intersection of artificial intelligence, medtech, and data science in healthcare. Each episode analyses cutting-edge research papers and examines the ethical implications of AI in medicine. Supported by the Turing-Roche partnerships community scholars scheme, Data Day Health offers an academic perspective on how technology is transforming healthcare.
Data Day Health
Claim This Podcastby Florence Townend and Davy Tennison
9 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇬🇧
Podcast Overview
Join Florence Townend (@florencetownend) and Davy Tennison (@davytennison), PhD students at University College London, as they explore the intersection of artificial intelligence, medtech, and data science in healthcare. Each episode analyses cutting-edge research papers and examines the ethical implications of AI in medicine. Supported by the Turing-Roche partnerships community scholars scheme, Data Day Health offers an academic perspective on how technology is transforming healthcare.
Language
🇺🇲
Publishing Since
8/1/2024
1 verified contact email on file for Data Day Health
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
November 27, 2024
Using AI to Understand and Predict ALS Progression: Florence’s PhD
Florence Townend PhD shares how her AI-driven research uses neuroimaging, clinical data, and multimodal techniques to improve ALS progression prediction and patient care.
November 21, 2024
Rethinking Fibromyalgia through AI and Philosophy: Davy’s PhD
Davy Tennison and Florence discuss how AI and philosophy can revolutionize fibromyalgia diagnosis, challenging stigma and providing objective biomarkers for a more accurate understanding of this contested illness.
November 15, 2024
Voices from AI UK 2024: Innovations in Artificial Intelligence
<p>In this special audio vlog episode, Davy (<a href="https://x.com/davytennison" target="_blank" rel="ugc noopener noreferrer">@davytennison</a>) takes you on a tour of the AI UK 2024 conference: the UK’s national showcase of data science and artificial intelligence. From interpreting idiomatic language with AI to 3D printing hearts, deepfakes, and more, hear directly from researchers shaping the future of AI. Plus, insights from keynote talks and a departure from our usual health topics to explore the broader world of artificial intelligence.</p> <p>Instagram: <a href="https://www.instagram.com/datadayhealth/" target="_blank" rel="ugc noopener noreferrer">@datadayhealth</a></p> <p>Email us at <a href="mailto:datadayhealth@gmail.com" target="_blank" rel="ugc noopener noreferrer">datadayhealth@gmail.com</a></p> <p>Visit <a href="http://datadayhealth.github.io/" target="_blank" rel="ugc noopener noreferrer">datadayhealth.wordpress.com</a> for show notes and transcripts.</p>
9 total episodes available
Deep-dive analytics for Data Day Health
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Data Day Health?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.