<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Florence Townend | MANIFOLD Lab</title><link>https://manifold.cs.ucl.ac.uk/author/florence-townend/</link><atom:link href="https://manifold.cs.ucl.ac.uk/author/florence-townend/index.xml" rel="self" type="application/rss+xml"/><description>Florence Townend</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://manifold.cs.ucl.ac.uk/author/florence-townend/avatar_hu5556394697166494908.jpeg</url><title>Florence Townend</title><link>https://manifold.cs.ucl.ac.uk/author/florence-townend/</link></image><item><title>Data Day Health - AI in healthcare podcast by Manifold PhD student</title><link>https://manifold.cs.ucl.ac.uk/post/florence-podcast/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/post/florence-podcast/</guid><description>&lt;p>As part of the Turing-Roche Community Scholars Scheme 2023-2024, Florence Townend (PhD student in the lab) made a podcast called Data Day Health, about how data science and AI are changing the healthcare landscape.&lt;/p>
&lt;p>![Image alt](logo.png =250x)&lt;/p>
&lt;h3 id="where-to-listen">Where to listen&lt;/h3>
&lt;p>You can listen on &lt;a href="https://open.spotify.com/show/2YrjZTXoSAOHFsuQtjgR3z?si=30b48ef133714d2c" target="_blank" rel="noopener">Spotify&lt;/a> and &lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849" target="_blank" rel="noopener">Apple Podcasts&lt;/a>.&lt;/p>
&lt;h3 id="episodes">Episodes&lt;/h3>
&lt;ol>
&lt;li>Beyond Steps: The Real Power of Smart Watches
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000664035332" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/2IgAyikooJuemH7GgknDHN?si=d2c411a895ad4b23" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>AI Revolution: Redefining Healthcare in our Hospitals
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000664796325" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/2Pt0JOl033tV5SnvIIN6tn?si=d6009809db294632" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>Would you trust an AI-trained surgeon?? (Surgical AI: Part 1)
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000667293346" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/7tiukAGMx5Xk6uHDZltoBG?si=1b53ced379da4184" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>AI in the Operating Room (Surgical AI: Part 2)
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000669443335" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/1jR2I62Ij3Fs6G3gko1WgI?si=180b5cc0951e4947" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>Monitoring Disease Progression with Apps?! (Health Apps: Part 1)
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000671671918" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/57lzyzbqdggKtsXRyTDyNE?si=19567ad96bf04cb9" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>AI Wellness Apps: Hope or Hype (Health Apps: Part 2)
&lt;ul>
&lt;li>&lt;a href="https://podcasts.apple.com/gb/podcast/data-day-health/id1760541849?i=1000673584993" target="_blank" rel="noopener">Apple Podcasts&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://open.spotify.com/episode/3GRulNkOWTnkyphuJR1Du2?si=46ef97056aa94998" target="_blank" rel="noopener">Spotify&lt;/a>&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ol>
&lt;p>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img src="Surgical_AI_Part_2.mp4" alt="" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>Interpretable machine learning for dementia: A systematic review</title><link>https://manifold.cs.ucl.ac.uk/publication/interpretable-machine-learning-for-dementia-a-systematic-review/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/publication/interpretable-machine-learning-for-dementia-a-systematic-review/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Sophie A. Martin, Florence J. Townend, Frederik Barkhof, James H. Cole&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1002/alz.12948" target="_blank" rel="noopener">https://doi.org/10.1002/alz.12948&lt;/a>&lt;/p></description></item><item><title>Motor Neurone Disease</title><link>https://manifold.cs.ucl.ac.uk/project/motor_neurone_disease/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://manifold.cs.ucl.ac.uk/project/motor_neurone_disease/</guid><description>&lt;p>Motor neurone disease (MND) is a rare and incurable neurodegenerative condition which affects the motor neurons in the brain, leading to muscle weakness, speech difficulties, and respiratory failure. Predicting the prognosis of MND at the diagnostic appointment would help with more efficient and effective clinical care management as well as improving clinical trial recruitment.
Clinical data recorded at MND-care appointments includes ratings of the patient&amp;rsquo;s functions and neurodegeneration-related markers in the blood. Brain and spinal imaging (usually MRI) is also taken at the diagnostic appointment to rule out mimic diseases.&lt;/p>
&lt;p>We are combining different sources of MND data to predict disease progression through the application of deep learning data fusion techniques. Additionally, we are exploring the relationship between the brain age paradigm and MND disease progession through the use of deep generative modelling. In collaboration with Professor Andrea Malaspina and the UCL Queen Square Motor Neurone Disease Centre &lt;a href="https://www.ucl.ac.uk/ion/research/research-centres/motor-neuron-disease-centre" target="_blank" rel="noopener">https://www.ucl.ac.uk/ion/research/research-centres/motor-neuron-disease-centre&lt;/a>&lt;/p></description></item></channel></rss>