[SNIPPET] - Emmanuel Bilbault on the complexity of modern medication prescribing

How can we solve the puzzle of regulating AI in healthcare? This is the question that Dr. Ricardo Baptista Leite and his team at HealthAI - The Global Agency for Responsible AI in Health ask themselves every day. Their goal? To help international organizations, governments, and local stakeholders strike a balance between regulation and access to the latest innovation in the field. A thorny equation, considering the speed of progress in AI and the time it takes to establish a regulatory framework that, by definition, applies in the long term. With passion and enthusiasm, Ricardo shares the approach they are taking to achieve their mission: by fostering a global community to share best practices and adverse events, by building tailored in-country mechanisms aligned with international guidelines, and by curating the most comprehensive directory of registered AI solutions, which countries and innovators can consider. One thing seems certain: we must evaluate these new technologies from a risk-benefit perspective, drawing on the well-known methods of post-market monitoring that have been applied to pharmaceutical products for decades. A way to remain critical of their use, grant patients and healthcare professionals access to them, and to drive this transformative shift with confidence and security. Timeline: 00:00:00 - Ricardo’s background at the interface of medicine, research, and health policy 00:04:55 - Why we are at a turning point in healthcare 00:08:33 - HealthAI’s role in translating international guidelines for AI use in healthcare to local realities 00:13:08 - Bridging long-term regulation and rapid technological progress 00:21:55 - Curating the right AI solutions in healthcare 00:25:55 - Building trust and adoption among clinicians and patients 00:32:26 - The parallel between elevators and AI in healthcare 00:37:30 - The potential of AI for predictive population health management What we also talked about with Ricardo: HIMSS Europe Software as a Medical Device (SaMD) Stéphanie Allassonniere Agentic AI Ambient AI Elisha Otis As Ricardo mentioned during the episode, you can learn more about HealthAI here and follow their activities on LinkedIn, X, Instagram, and YouTube. The books recommended in the episode include AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference by Arvind Narayanan and Sayash Kapoor, Outlive: The Science and Art of Longevity by Peter Attia, and Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity by Daron Acemoglu and Simon Johnson. We both strongly recommend the newsletter Ground Truths by Dr. Eric Topol, a reference for staying up to date on the latest advances in medicine. You can get in touch with Ricardo 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! 🙏 You can also support my work by doing a PayPal donation @ImpulsePodcast! 👍 Lastly, don’t forget to follow our activities on LinkedIn and our website!

To discover the whole episode, type "#47 - Pushing responsible AI in health - Dr. Ricardo Baptista Leite - HealthAI" on your preferred streaming platform.

When we think of the term "medicine," one of the symbols that comes to mind is the stethoscope. Its use in almost every physical examination by healthcare providers makes it one of the most iconic and widely recognized medical devices. Despite the emergence of digital technologies and the first electronic stethoscopes, their operating principle and design still rely heavily on the patent filed by Dr. David Littmann in the 1960s. But in the era of miniaturization and artificial intelligence, there is a reason to believe that the stethoscope is ripe for a true transformation. Among those who share this opinion are Lapsi Health and the team of Diana van Stijn. Inspired by her experience as a pediatrician and the central role of body sounds in her profession, Diana envisions a new kind of stethoscope—without tubing, fitting in the palm of a hand, and leveraging the latest technological advancements to better equip physicians. This vision gave birth to Keikku, a next-generation digital stethoscope. Beyond rethinking the format and use of the stethoscope for doctors, Diana and her colleagues imagine a future where patients can use it themselves, paving the way for continuous auscultation. In this episode, we explore how Diana and her team are turning this vision into reality, and what it could mean for the prevention, detection, and monitoring of diseases, extending far beyond pediatrics. With humor and enthusiasm, Diana also shares a few secrets about her approach to balancing clinical practice, motherhood, and entrepreneurship in healthcare! Timeline: 00:00:00 - Diana’s background as a Pediatrician, startup Co-Founder, and former National Team Swimmer 00:11:10 - The role of body sounds in medicine 00:15:08 - Early ideas on disrupting traditional stethoscopes 00:22:21 - Building Keikku, a portable, intuitive, and radically modern stethoscope 00:26:43 - Incorporating AI in the interpretation of body sounds 00:30:50 - Moving toward continuous auscultation and getting Keikku into the hands of patients What we also talked about with Diana: Shavini Fernando MedTech World Cirque du Soleil Jhonatan Bringas Dimitriades Magnetic Resonance Imaging Computed Tomography As Diana mentioned during the episode, you can learn more about Keikku here and the other devices in Lapsi Health’s pipeline via their official website. To dive further into some of the topics mentioned in the episode, Diana recommends reading Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare by Anthony C. Chang and the article published on JMIR Publications that she co-authored, Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics by Bhargava H. et al. You can follow Lapsi Health’s activities on LinkedIn, and get in touch with Diana via LinkedIn too! ✉️ 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! 🙏 You can also support my work by doing a PayPal donation @ImpulsePodcast! 👍 Lastly, don’t forget to follow our activities on LinkedIn and our website!

To discover the whole episode type "#46 - Rethinking the stethoscope and its use - Diana van Stijn - Lapsi Health" on your preferred streaming platform.

Do you have to come close to death to invent a groundbreaking medical device? That’s certainly not something we would wish upon every medtech entrepreneur. But it is the story of Shavini Fernando and the connected earring OxiWear that she developed. Shavini lives with Eisenmenger syndrome, a condition where the two ventricles of her heart communicate. This condition dramatically increases the pressure in her pulmonary vasculature and severely limits the oxygen carried in her blood. It’s a critical situation that has already caused her four cardiac arrests and three strokes, all of which she has survived. Constantly reliant on supplemental oxygen to live, she dreamed of a way to measure her oxygen levels in real time while staying active. This would allow her to anticipate sudden variations in the future and the life-threatening risks they bring. And she made that dream come true by creating the first connected earring, FDA-certified, capable of measuring blood oxygen saturation in real time. All in a discreet format, lighter than an AirPod, and designed for use during everyday activities, including sports. In many ways, this innovation has transformed her own life, as well as those of hundreds of patients who have benefited from it so far. In this episode, we revisit her story as a patient and survivor. Shavini opens up about the immense challenges of living with Eisenmenger syndrome and developing OxiWear, sharing her vision for this technology and the potential it holds for the future of cardiorespiratory monitoring. A touching and sincere conversation with a truly exceptional figure in the healthtech ecosystem! Timeline: 00:00:00 - Shavini’s story as a pulmonary hypertension patient surviving four cardiac arrests and three strokes 00:19:13 - Building the first smart earring to continuously measure oxygen levels while staying active 00:25:20 - The design behind OxiWear and the challenges to bring it to life 00:31:24 - The blessing of COVID to access funding and educate the general public about cardiorespiratory health 00:36:57 - Making OxiWear the ultimate cardiorespiratory device for remote patient monitoring 00:39:47 - The business model behind OxiWear from a medical and consumer perspective 00:43:10 - Overcoming the torture of creating a medical device from scratch What we also talked about with Shavini: MedTech World Georgetown University Johns Hopkins University Leonsis Family Entrepreneurship Prize “Bark Tank” created by Ted Leonsis MassMEDIC Renal cholesteatoma Sickle cell anemia Photoplethysmography As we mentioned during the episode, you can watch here the recording of the panel I hosted alongside Shavini at MedTech World in 2024. As Shavini shared in the episode, you can learn more about OxiWear at Oxiwear.com and [Oxiwear.fitness](http://Oxiwear.fitnesshttps://www.oxiwear.fitness/). Although we did not explicitly talk about it, I also recommend you watch Shavini’s TEDx Talk recorded in 2019. You can follow OxiWear’s activities on LinkedIn, Facebook, X, TikTok, and get in touch with Shavini via LinkedIn too! ✉️ 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! 🙏 You can also support my work by doing a PayPal donation @ImpulsePodcast! 👍 Lastly, don’t forget to follow our activities on LinkedIn and our website!

To discover the whole episode type "#45 - Measuring oxygen with a smart earring - Shavini Fernando - OxiWear" on your preferred streaming platform.

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: 00:00:00 - 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! 🙏 Lastly, don’t forget to follow our activities on LinkedIn and our website!

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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: 00:00:00 - 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! 🙏 Lastly, don’t forget to follow our activities on LinkedIn and our website!

To discover the whole episode type "#43 - Rethinking medical prescriptions to save lives - Emmanuel Bilbault - Posos" on your preferred streaming platform.