{"podcast":{"title":"The Digital Twin Theory","slug":"the-digital-twin-theory-7076419","podcast_index_feed_id":7076419,"rss_url":"https://www.spreaker.com/show/6097906/episodes/feed","website_url":"https://www.spreaker.com/podcast/the-digital-twin-theory--6097906","image_url":"https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/43323ff22e58c3607fa40ce268c5cc4f.jpg","author":"VPH- The Society for In Silico Medicine","episode_count":25,"summary":"The Digital Twin Theory is a podcast about digital innovation in healthcare produced by VPH- The society for in silico medicine. In each episode, we will discover more about in silico medicine with a wide range of experts such as doctors, engineers, policymakers, philosophers, patients and social scientists. If you wish to suggest a new topic or questions for our experts, email us at social@vph-institute.org.","last_synced_at":"2026-07-24T22:20:52.442859+00:00","page_url":"https://stenobird.com/podcast/the-digital-twin-theory-7076419"},"episode":{"title":"Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)","slug":"episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi","published_at":"2026-06-26T14:18:34+00:00","page_url":"https://stenobird.com/podcast/the-digital-twin-theory-7076419/episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi","show_page_url":"https://stenobird.com/podcast/the-digital-twin-theory-7076419","url":"https://www.spreaker.com/episode/episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi--72647009","audio_url":"https://api.spreaker.com/download/episode/72647009/interview_marilisa_cortesi_mixdown.mp3","summary":"Ovarian cancer remains one of the most complex and challenging cancers to understand and treat. But how can computational models, artificial intelligence, and in silico medicine help researchers and clinicians tackle this disease? In this episode of The Digital Twin Theory, host Davide Montesarchio speaks with Dr. Marilisa Cortesi , biomedical engineer, Marie Skłodowska-Curie Global Fellow, and Assistant Professor at the University of Bologna. Together, we discuss the clinical challenges of ovarian cancer, the integration of computational modelling and experimental research, and the growing role of AI in oncology. The conversation explores the promises and limitations of artificial intelligence, the ongoing debate around the \"black box\" problem, and the potential of digital twins and virtual patients to transform personalised cancer care. Join us for an insightful discussion on how engineering, biology, and medicine are converging to shape the future of cancer research.","meta_description":"Ovarian cancer remains one of the most complex and challenging cancers to understand and treat. But how can computational models, artificial intelligence,…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1566,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-digital-twin-theory-7076419/episodes/episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-digital-twin-theory-7076419/episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}