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Impulse - Meeting Healthcare Pioneers

Impulse - Meeting Healthcare Pioneers

By: Mathieu Chaffard
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Impulse is the podcast where we dive into the most exciting breakthroughs in healthcare of our time. In each episode, we sit down with some of the brightest minds who are using technology to rethink the way we care!Mathieu Chaffard Career Success Economics Hygiene & Healthy Living Physical Illness & Disease
Episodes
  • #44 - Predicting cancer treatment response - Andre Esteva - Artera
    Dec 16 2024
    One of the greatest fantasies in medicine is to one day be able to offer any patient a therapy perfectly adapted to their profile and needs. A "personalized" medicine. The term was introduced to the public in 1999 through an article in The Wall Street Journal titled "New Era of Personalized Medicine: Targeting Drugs for Each Unique Genetic Profile." The enthusiasm for these next-generation therapies was fueled by advances in DNA sequencing, which hinted at future discoveries in genomics and rapid progress in medicine. Twenty-five years later, it is clear that personalized medicine has become a reality (e.g., for the treatment of cancer or rare diseases), and technological progress continues to bring us closer to this ideal. But while developing new personalized therapies is one approach, identifying the most effective current therapies for each patient is another, equally powerful one. And thanks to the multimodal analysis capabilities enabled by AI, this field is rapidly expanding. Andre Esteva is one of the pioneers in this area, having significantly advanced medical research in this direction before venturing into entrepreneurship to make this technology available broadly. In less than three years, his company Artera has already achieved many things that most healthtech startups take much longer to reach: The launch of the first AI-based predictive test to evaluate treatment response to hormonal therapy in prostate cancer. The inclusion of the test in the National Comprehensive Cancer Network (NCCN) guidelines nationwide. The obtention of federal reimbursement for the test. In this episode, Andre shares his vision of predictive medicine in the AI era, the potential of this technology for complex diseases such as cancer, and the keys to their success and recognition on the international medical scene! Timeline: 00:03:24 - Andre’s background as a researcher and entrepreneur in medical AI 00:06:01 - The origins of Artera and the vision of personalizing therapy for cancer patients 00:09:29 - Why AI is so relevant for predictive and prognostic medical applications 00:11:51 - How the ArteraAI Prostate Cancer test works 00:19:57 - Getting the test included in national guidelines within a year 00:24:16 - Developing further therapy prediction tests for cancer and beyond 00:26:03 - Lessons learned from securing national reimbursement within two years 00:29:22 - Andre’s view on current and future applications of AI in medicine What we also talked about with Andre: Salesforce H&E stain Prostate-specific antigen Chemotherapy Computer vision Large Language Models (LLMs) AI agents AlphaFold NeurIPS Computer Vision and Pattern Recognition Conference Marc Benioff We cited with Andre some of the past episodes of the series: #43 - Rethinking medical prescriptions to save lives - Emmanuel Bilbault - Posos #41 - Making sense of the gut microbiome - Leo Grady - Jona #40 - Cracking biology through AI - Jean-Philippe Vert - Owkin #36 - Turning healthcare preventive with full-body MRI scans - Andrew Lacy - Prenuvo As Andre mentioned during the episode, you can read their landmark paper published in npj Digital Medicine in 2021 to dive deeper into the technology they have developed. For further information about Artera’s publications and all the scientific work they do, take a look at the News & Insights section of their website. You can follow Artera’s activities on LinkedIn and X, and get in touch with Andre via LinkedIn! If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email! And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏 There’s now a bi-monthly newsletter around the podcast where you will be informed of the latest episodes and kept posted on the latest medical tech progress, subscribe here! Lastly, don’t forget to follow our activities on LinkedIn and our website!
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    43 mins
  • [SNIPPET] - Andre Esteva on the relevance of AI for clinical decision-making
    Dec 16 2024
    To discover the whole episode type "#44 - Predicting cancer treatment response - Andre Esteva - Artera" on your preferred streaming platform.
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    3 mins
  • #43 - Rethinking medical prescriptions to save lives - Emmanuel Bilbault - Posos
    Dec 8 2024
    According to the WHO, unsafe medication practices and medication errors are a leading cause of avoidable harm in health systems across the globe. In the European Union alone, this translates to nearly 200,000 deaths annually. The magnitude of this problem has led to global initiatives such as "Medication Without Harm," launched in 2017, aiming to reduce medical errors by 50% over five years. Although there is a need for more data on the results of this initiative, we are far from having reached the goal. The key lies in our ability to access medical information, specifically related to prescriptions. Direct access to reliable information, accounting for individual patient characteristics, and able to fit with the tools used by healthcare professionals. A next-generation medical database, incorporating all known information about medications in structured and interoperable bricks capable of supporting caregivers in safer and more effective prescribing practices. It turns out this database exists and has been developed by Pharmacist Emmanuel Bilbault and his team at Posos! Approved less than a year ago by French health authorities, it offers a new perspective on how to approach medical prescriptions in the era of AI and digital health. A way to give back time to every healthcare professional and ensure an unprecedented level of care quality for patients. We talked with Emmanuel about the creation of this new tool - used today by more than 85,000 healthcare professionals in Europe - and what it changes in our fight against medical errors. Timeline: 00:02:56 - What pushed Emmanuel to quit the Pharma industry and found Posos 00:11:11 - The first multilingual, structured, and encoded drug database to streamline medical prescribing 00:16:31 - How Posos is leveraging AI to supercharge its platform 00:22:54 - Keeping the drug database up to date across geographies 00:24:37 - The impact Posos has on healthcare professionals, patients, and health systems 00:29:59 - Toward providing patient access to Posos’ drug database 00:32:40 - Lessons learned from scaling Posos in France and abroad 00:40:47 - Emmanuel’s view on the current healthcare transformation What we also talked about with Emmanuel: Teva Pharmaceuticals IBM’s Watson Health Electronic Health Records SNOMED CT ICD-10-CM ATC MedDRA Named Entity Recognition Optical Character Recognition Word Embedding Machine Learning Pharmagest Ambient AI Nabla We cited with Emmanuel some of the past episodes of the series: #1 - Measuring your arterial age to prevent heart diseases - Ted Baldwin - Imageens As mentioned by Emmanuel during the episode, we recommend taking a look at this page to learn more about the SNOMED CT clinical terminology, as the most comprehensive, multilingual clinical healthcare terminology in the world. You can follow Posos’ activities on LinkedIn, Instagram, and X, and get in touch with Emmanuel via LinkedIn! If you want to give me feedback on the episode or suggest potential guests, contact me over LinkedIn or via email! And if you liked the episode, please share it, subscribe to the podcast, and leave a 5-star review on streaming platforms! 🙏 There’s now a bi-monthly newsletter around the podcast where you will be informed of the latest episodes and kept posted on the latest medical tech progress, subscribe here! Lastly, don’t forget to follow our activities on LinkedIn and our website!
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    51 mins

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