Join Florence Townend (@florencetownend) and Davy Tennison, 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.
Using AI to Understand and Predict ALS Progression: Florence’s PhD – Data Day Health
How can we better predict the progression of ALS (motor neuron disease)? In this episode, Florence (@florencetownend) talks about her PhD research, which uses neuroimaging, clinical data, and AI to tackle this challenge. Florence and Davy (@davytennison) discuss why ALS is so difficult to predict and how multimodal techniques are paving the way for improved research and patient care.
Instagram: @datadayhealth
Email us at datadayhealth@gmail.com
Visit datadayhealth.wordpress.com for show notes and transcripts.
- Using AI to Understand and Predict ALS Progression: Florence’s PhD
- Rethinking Fibromyalgia through AI and Philosophy: Davy’s PhD
- Voices from AI UK 2024: Innovations in Artificial Intelligence
- AI Wellness Apps: Hope or Hype? (Health Apps Part 2)
- Monitoring Disease Progression with Apps?! (Health Apps Part 1)
Episodes
Contact us
datadayhealth@gmail.com
Instagram: @datadayhealth
Data Day Health