Predicting psychosis: can AI transform diagnosis?

Psychosis is one of the most severe, and most stigmatised, mental health conditions. But what if technology could help us spot the signs early on? Could more accurate prediction help guide earlier intervention, to produce better outcomes for people at risk of psychosis? Alisha is in discussion with Professor Iris Sommer, a global leader in the psychosis field to examine exactly where the understanding of the condition is, whether we’re approaching treatment in an equitable way, and how we can ensure earlier diagnosis and better treatment.   They hear from a therapist in Brazil, Dr Alexandre Loch, and his patient Tammy about how hard a diagnosis can be, and why it can often come too late to prevent the onset of severe symptoms. Alexandre also shares his innovative work using AI to spot whether someone might be at risk of developing psychosis, hinting at a potentially transformative breakthrough.  When Science Finds a Way is brought to you by Wellcome, an independent global foundation that supports science to solve the urgent health challenges facing everyone. For more information visit www.wellcome.org/news-and-reports/podcast.

Om Podcasten

When Science Finds a Way is the science podcast that tells the human story. Join botanist-turned-Hollywood actor Alisha Wainwright as she meets the scientists and communities turning bold ideas into real world impact. This season, you’ll hear about how new medical imaging tools are helping us see our bodies in ways we never could before, meet the team using climate data to predict and prevent disease outbreaks, and learn about how engaging with the arts can help improve our mental health. - Brought to you by Wellcome, an independent global foundation that supports science to solve the urgent health challenges facing everyone. Please visit wellcome.org for more information.