Afleveringen

  • 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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  • 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!

  • What will the future of surgery look like?
    According to Dr. George Papagiannakis, we must count on virtual simulation.
    After all, simulators are an integral part of professional training in highly demanding fields like aviation or F1. So why not medicine?
    The approach might seem futuristic, but George and his team at ORamaVR share a vision that makes a lot of sense.
    Integrating extended reality in surgery means increasing the volume of hours spent operating.
    It means preparing each surgery on a virtual patient with properties close to the real case.
    It means simulating complications and unforeseen situations safely.
    And it means reducing the risk of errors in the real world.
    Following his motto "never first time with the real patient", George immerses us in the universe of extended reality and reveals its potential for medicine and surgery.
    What is extended reality?
    What makes a good virtual medical simulation?
    And what is the impact of this technology today and in the future?
    Many questions that George addresses with passion and enthusiasm, in a conversation reminiscent of Ready Player One!

    Timeline:

    02:49 - Addressing the millions of fatal medical errors worldwide

    05:20 - Defining extended reality and underlying technologies

    07:31 - Medical applications of extended reality

    10:52 - The impact of extended reality on medical training and practice

    16:25 - What makes a virtual medical environment feel real

    23:32 - How to recreate the feel of touch and dexterity virtually

    29:28 - Enabling all healthcare professionals to create virtual environments with AI


    What we also talked about with George:

    Prof. Shafi Ahmed

    Apple Vision Pro

    Magic Leap

    Microsoft HoloLens

    NHS

    The Anatomy Lesson of Dr. Nicolaes Tulp by Rembrandt

    IKEA

    Global illumination

    Dall-E

    ChatGPT

    NotebookLM

    Frost & Sullivan

    Meta


    We cited with George some of the past episodes of the series:

    #9 - Creating the Gran Turismo of surgery - Raimundo Sierra - Virtamed

    #12 - Unleashing the power of digital health - Daniel Kraft - Digital.Health

    #32 - Accelerating radiology with AI - Amine Korchi - Radiologist

    #36 - Turning healthcare preventive with full-body MRI scans - Andrew Lacy


    As mentioned by George during the episode, we recommend taking a look at some of the simulations available on the official YouTube channel of ORamaVR, it will bring to life many aspects that we discuss in the episode!
    You can follow ORamaVR’s activities on LinkedIn, Instagram, and get in touch with George 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!

  • Our gut contains a world of microorganisms that impact many aspects of our health, well beyond the gastrointestinal system.
    In fact, more than 30 trillion bacteria, archaea, fungi, and viruses live in the digestive tract of every human, a number that is higher than the number of human cells that make up our body!
    Each microbiome is unique to an individual, and its genetic heritage represents approximately 100 times that of the human genome.
    This field is fascinating and science is advancing rapidly, as evidenced by the 2,000 publications generated monthly on the subject.
    A better understanding of this remarkable ecosystem might bring critical answers to address numerous pathologies and health disorders.
    This is the mission of Leo Grady and his team at Jona, whose technology enables microbiome analysis based on an at-home test, combined with artificial intelligence to reveal what the current literature says about each person's microbiome.
    Unveiling the propensity for certain disease risks, along with individual nutritional preferences, Jona can model the body's reaction according to potential changes in the microbiome, and provide valuable insights on behaviors and nutrition that can ultimately improve one’s health.
    A dive into the heart of the microbiome and its secrets, which today's technology is about to unlock!

    Timeline:

    02:32 - Leo’s journey from his PhD in computer vision to AI applications in medicine

    06:47 - The idea behind Jona and understanding the microbiome better

    10:33 - What we do know and ignore about the microbiome

    13:05 - The Jona test kit and what it can interpret from one’s microbiome picture

    20:17 - The volume and complexity of studies around the microbiome

    22:11 - The impact of Jona and Leo’s son's story

    25:38 - Who is Jona for

    29:00 - Leo’s vision for the future of Jona and AI in healthcare


    What we also talked about with Leo:

    Neural networks

    Siemens

    HeartFlow

    Paige AI

    Memorial Sloan Kettering

    Crohn’s disease

    Thomas Clozel


    We cited with Leo some of the past episodes of the series:

    #32 - Accelerating radiology with AI - Amine Korchi - Radiologist

    #35 - Making surgery smarter and safer - Björn Von Siemens - Caresyntax

    #36 - Turning healthcare preventive with full-body MRI scans - Andrew Lacy - Prenuvo

    #40 - Cracking biology through AI - Jean-Philippe Vert - Owkin


    As mentioned by Leo during the episode, we recommend looking at the Jona Journal which sheds light on the latest findings on the microbiome fueled by their research platform, and understanding the current literature.
    Leo also recommends listening to The Mind-Gut Conversation Podcast by Emeran Meyer to find out more, and We Contain Multitudes by Sarah Henstra as a complementary read.
    You can follow Jona’s activities on LinkedIn, X, Instagram, and YouTube, and get in touch with Leo 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!

  • All experts agree: if there's one sector that AI will transform, it's healthcare.
    Whether it's understanding pathologies, developing personalized treatments, the doctor-patient relationship, diagnostic methods, or creating tools to facilitate the work of healthcare professionals, everything is affected by the ongoing transformation!
    This revolution raises many expectations and questions about the real impact these new technologies will have on tomorrow's medicine.
    One of the leading figures in this movement on the international scene is none other than the French-American company Owkin, which aims to be "the first end-to-end AI biotech company," whose R&D activities are overseen by Jean-Philippe Vert, himself a true pioneer in the field of machine learning and computational biology.
    The first “AI-first” biotech company of its kind, bringing a breath of fresh air to an industry known for being extremely costly and time-consuming.
    So how does AI accelerate the development of new therapies?
    What is its role in identifying new molecules and targets?
    How can it be used to create new diagnostic tools?
    Can we leverage patient data without compromising their safety and privacy?
    And what can we expect from future models and their impact on our understanding of biology?
    These are all fascinating questions that Jean-Philippe breaks down with pedagogy and realism, shedding light on one of the most exciting fields of medicine in this era!

    Timeline:

    04:21 - Jean-Philippe’s background at the interface of mathematics, computer science, and life sciences

    07:10 - Owkin’s mission to become the first end-to-end AI biotech firm

    09:48 - Leveraging AI for drug discovery and new treatment modalities

    14:35 - Selecting target indications and therapeutic areas

    17:13 - Changing the way we run clinical trials through AI

    22:03 - Unlocking patient data across hospitals while preserving safety and privacy

    25:40 - Developing AI-based diagnostics and driving clinical adoption

    34:50 - Towards the first AI foundation model to understand biology


    What we also talked about with Jean-Philippe

    Google DeepMind

    Large Language Models (LLMs)

    Digital twins

    External control arms

    Federated learning

    Digital pathology

    MSIntuit CRC

    Bioptimus

    Neural networks


    As mentioned by Jean-Philippe during the episode, we recommend taking a look at Owkin and Bioptimus websites as well as their respective Publications & News section to learn more about their technology and stay posted on their latest activities.
    If you are a data scientist or machine learning enthusiast, you can tackle one of the many biology-related challenges proposed by Kaggle on their platform.
    To learn more about Owkin’s portfolio and the diversity of biomarkers and health conditions they cover, take a look at their Pipeline section.
    You can follow Owkin’s activities on LinkedIn, X, and YouTube, and Bioptimus on LinkedIn and X.
    To get in touch with Jean-Philippe, contact him over 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!

  • Among pioneering companies in connected health devices, few have been as forward-thinking as Withings, a flagship of French technology.
    Their first connected scales date back to 2009 (when smartphones were still emerging!) and remain the industry standard today.
    For that time, it was a subtle blend combining sleek design, intuitive user experience, and medical precision.
    A formula that Withings has successfully applied and developed in many other areas, from smartwatches to sleep sensors, thermometers, blood pressure monitors, or even a urinalysis device for your toilet!
    Their portfolio covers a wide range of medical parameters and helps hundreds of thousands of individuals manage their health daily.
    Matthieu Menanteau is one of the minds behind Withings' creations over the past 8 years.
    In this highly insightful episode, he shares Withings' philosophy and approach to creating the ultimate connected health experience, one that allows everyone to better understand themselves and take control of their health journey.
    We discuss:

    Withings' philosophy to innovate successfully in today's connected health sector

    Three development pillars that form the essence of Withings products

    The ongoing integration of consumer health with health systems and telemedicine

    The power of continuous medical data in the age of AI and big data


    A conversation that brings new perspectives on the future of connected health, and how technology can integrate into our daily lives to guide us toward healthier behaviors!

    Timeline:

    03:45 - Withings’ origins and vision for connected health

    07:18 - Providing the ultimate health companion

    10:03 - Biomarkers and indications covered by Withings

    13:11 - A home urinalysis laboratory

    17:44 - Bringing the medical check-up at home

    21:11 - A dual approach to driving innovation in connected health

    26:20 - Towards an overwhelming mass of connected health devices?

    31:47 - Withings’ three pillars of product development

    38:05 - The role of AI in creating the ultimate connected health experience


    What we also talked about with Matthieu:

    Type 2 diabetes

    Lean mass

    Visceral fat

    Hydration

    pH

    Vitamin C

    Ketones

    Oxygen saturation

    Cuffless blood pressure measurement

    Apple

    CE mark

    FDA

    Edge computing

    Doctolib

    Alan

    CES


    We cited with Matthieu some of the past episodes of the series:

    #21 - Transforming hypertension care with a bracelet - Jay Shah - Aktiia

    #23 - Disrupting the smart wearables industry - Leo Grünstein - Spiden


    As mentioned by Matthieu during the episode, we recommend taking a look at the Research section of the Withings website, to learn more about current and future publications surrounding their products.
    To learn more about their portfolio and the diversity of biomarkers and health conditions they cover, take a look at their Products section.
    You can follow Withings’ activities on LinkedIn, X, Instagram, and YouTube, and get in touch with Matthieu 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!

  • Medical biology and laboratories play an essential role in any health system.
    No wonder 70 to 80% of all medical decisions are based on laboratory test results.
    But even within the most advanced healthcare systems, the communication and analysis of lab data remain archaic.
    Processing times can be lengthy, even after the analysis is completed.
    Results are expressed as "out of range" or "in range", without complementary or actionable information.
    An experience still far from current technological standards, and a gap that Alexandre Guenoun and his team at Kiro intend to solve by redefining our experience of medical biology!
    Through faster and more personalized results for patients.
    With a suite of integrated clinical decision support tools for healthcare professionals.
    And a longitudinal database to accelerate biomedical research.
    A key service of any health system, at a turning point in France and beyond.
    We talk with Alexandre about:

    The importance of engaging each individual in their health journey

    The shift from disease-centered medicine to service-centered

    The Kiro experience for patients and healthcare professionals

    The role of technology in matching healthcare demand and supply

    The criticality of change management in healthcare innovation


    A key episode to understand the future of medical biology!

    Timeline:

    02:57 - What drew Alexandre to healthcare and entrepreneurship

    08:41 - How technology can make clinical biology smarter and more personalized

    11:24 - The Kiro experience for patients and healthcare professionals

    24:56 - Interpreting medical biology data with AI

    28:16 - Matching demand and supply in health systems

    31:01 - Scaling Kiro in Europe and beyond

    34:01 - Leading change management with healthcare professionals


    What we also talked about with Alexandre:

    ZEBRA MEDICAL

    ESSEC Business School

    UC Berkeley

    Agoranov

    GPT-4o

    Sacha Loiseau


    This episode is brought to you in collaboration with Health.Tech, the heartbeat of healthtech!
    As mentioned by Alexandre during the episode, you can have a look at Kiro’s Product page to understand better their technology and stay posted on their latest progress. Alexandre also recommends reading The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers by Ben Horowitz.
    You can follow Kiro's activities on LinkedIn and get in touch with Alexandre 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 medical tech progress, subscribe here!
    Lastly, don’t forget to follow our activities on LinkedIn and our website!

  • Can the attention economy be harnessed to serve health?
    Paradoxical as it may seem, this is the thesis of Tryggvi Thorgeirsson and his team at Sidekick Health.
    As a medical doctor trained in Iceland in the 2000s, Tryggvi experienced rural medicine firsthand and what working as a general practitioner in a remote setting means.
    And he quickly found himself confronted with the limitations posed by the healthcare system at the time:

    Prescribing medications at the expense of other therapies where patients are guided toward healthier behaviors.

    The silos and impossibility of establishing a care plan that simultaneously takes into account multiple conditions.

    A purely reactive approach based on a brick-and-mortar model running out of steam.


    The emergence of smartphones and their potential as health companions became obvious to him.
    Based on this intuition, he co-founded Sidekick Health alongside his fellow physician and colleague Saemundur Oddsson.
    The company is now one of the leaders in digital therapeutics, offering a vast portfolio of therapies accessible from each patient's pocket, prescribed by thousands of doctors in Europe and the US.
    We talk with Tryggvi about the principles behind how these digital therapies work, how attention levers can be used to support long-term behavior change, and the growing impact these solutions have on individuals and healthcare systems.
    In the era of social media and the mental plague they represent, this episode brings a refreshing perspective on how dopamine can be used to put the health of individuals back in their own hands.

    Timeline:

    02:35 - Tryggvi’s background as a medical doctor and electrical engineer

    04:05 - What felt missing in Tryggvi’s rural medical practice

    07:14 - Seeing early the potential of smartphones for healthcare

    11:08 - Tryggvi’s definition of digital therapeutics

    13:44 - The impact of digital therapeutics on clinical outcomes and cost of care

    16:44 - Driving behavioral change and medical education through timely bite-sized pieces and gamification

    18:40 - Sidekick Health’s approach to designing tailored and impactful digital health programs across multiple conditions

    27:46 - Putting AI at the center of digital health programs and their usage

    30:13 - Tryggvi’s vision for the future of healthcare


    What we also talked about with Tryggvi:

    PINK!

    Prof. Pia Wülfing

    Pear Therapeutics

    Daniel Kahneman

    Harvard T.H. Chan School of Public Health


    We cited with Tryggvi some of the past episodes of the series:

    #7 - Redefining motor rehabilitation with digital neurotherapeutics - Naveed Ejaz - MindMaze

    #17 - Coaching as the key to a better health - Eugene Borukhovich - YourCoach.Health

    #30 - Building the Shopify of digital health - Dan Vahdat - Huma


    As mentioned by Tryggvi during the episode, we recommend reading Exits & Outcomes by Brian Dolan as well as Second Opinion by Christina Farr, two newsletters that will keep you posted on the latest in digital health.
    To dive further into the programs and use cases around Sidekick Health’s technology, take a look at their website.
    You can follow Sidekick Health’s activities on LinkedIn and X, and get in touch with Tryggvi 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!

  • Making healthcare preventive and better able to catch serious conditions earlier is a recurring topic for governments, health systems, and ultimately patients.
    As healthcare resources become scarce while chronic conditions and their burden on society grow larger, a preventive and more proactive approach to healthcare is undoubtedly part of the solution.
    There are many ways to go about it, with one emerging trend over the past few years focusing on holistic check-ups, providing a large set of scans, biological assays, and complimentary exams all at once on the same day, helping to give a broad snapshot of one’s health status.
    One approach that has triggered debate within the medical community focuses on full-body MRI scans delivered to individuals who can afford it, as the ultimate disease prevention tool.
    A detailed view of the inside of one’s body, based on one of the most widely used medical imaging methods.
    Some criticize the lack of evidence around the true benefits these scans bring to patients and health systems, pointing to the high price charged for them.
    Others testify to the diagnostic help these scans offer, lifting the veil on previously unexplained patient cases, and highlighting the possibility of taking action long before certain symptoms are expressed.
    One way or another, these reactions reflect an approach to medical screening that challenges traditional practices and raises questions.
    In this episode with the Founder and CEO of Prenuvo, Andrew Lacy addresses the main questions raised by this practice, offering new perspectives on how to apprehend these scans as a medical analysis tool, how they can complement existing care practices, and the complexity linked to the evaluation of the impact that these scans can have on health systems.
    An eye-opening conversation on what might constitute a part of future preventive healthcare!

    Timeline:

    00:02:47 - Andrew’s background as a serial tech entrepreneur and his move into healthcare

    00:04:15 - The idea behind Prenuvo and full-body scans as an early medical screening method

    00:06:49 - What the Prenuvo experience looks like compared to a typical medical check-up

    00:10:11 - The Prenuvo scanner and what it can see inside the body

    00:14:41 - Can Prenuvo scans diagnose certain conditions?

    00:18:44 - For whom are these scans for?

    00:21:35 - Building the case for full-body MRI scans benefits toward health systems

    00:25:39 - Making full-body MRI scans more affordable

    00:27:30 - How Prenuvo leverages AI throughout its operations

    00:30:21 - Empowering patients to drive long-term behavioral change

    00:34:43 - Prenuvo’s plans for geographic expansion and growth


    What we also talked about with Andrew:
    Dr. Raj Attariwala

    This episode was made possible with the support of HLTH Europe!
    As mentioned by Andrew during the episode, we recommend taking a look at the Research section of Prenuvo’s website, to be informed about the latest in multi-parametric MRI studies and its applications across multiple disease areas. You can also find out more on PubMed for further studies on these topics.
    To dive further into the technology behind Prenuvo’s scans, head out to The Scan section of their website.
    You can follow Prenuvo’s activities on LinkedIn, Instagram, and X, and get in touch with Andrew 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!

  • Modernizing surgery by making it smarter, safer, and more predictive.
    This is the mission of Björn Von Siemens and his team at Caresyntax.
    By developing a platform that integrates into hospitals’ infrastructures and leveraging their data flows throughout the planning, execution, and follow-up of surgeries, the company has established itself as a leader in connected surgery.
    Their impact on health systems worldwide is massive and continues to grow at pace:

    +3000 equipped operating rooms

    +30,000 surgical teams served

    +3 million surgeries assisted each year


    In a world where healthcare resources are growing scarce and where access to surgery is highly unequal, Caresyntax aims to be one of those enabling a profound change in medicine at scale, for the benefit of patients, healthcare professionals, and hospitals.
    By helping them optimize the use of operating rooms, staffing, and costs.
    By providing video oversight and intelligence for each operation performed, tracking every step of their execution.
    By enabling continuous improvement of medical teams and surgeons through detailed case reviews.
    In this fascinating episode, we delve into the world of cutting-edge surgery in the era of robotics, AI, and automation.
    Björn opens up about the inside story of this unique healthtech entrepreneurial adventure, revealing the challenges and successes that have made Caresyntax a pillar of modern surgery!

    Timeline:

    00:02:45 - Bjoern’s story as an aspiring surgeon who shifted toward healthcare entrepreneurship

    00:08:14 - The idea behind Caresyntax and solving major needs for surgery

    00:14:16 - The functioning of Caresyntax’s platform

    00:18:07 - Helping surgeons get better at what they do

    00:26:45 - Giving transparency to hospitals on their operations and opportunities for improvement

    00:31:55 - The role of AI in Caresyntax’s platform

    00:34:44 - Helping hospitals fight the burn-out crisis

    00:39:08 - Setting the right expectations from patients prior to surgery

    00:42:39 - What excites Björn for the future of surgery


    What we also talked about with Björn:

    Quantum Surgical

    Intuitive Surgical

    Radical prostatectomy

    Total knee arthroplasty

    Neuralink

    General Catalyst


    We cited with Björn some of the past episodes of the series:
    #2 - Treating liver cancer with surgical robotics - Lucien Blondel - Quantum Surgical

    This episode was made possible with the support of HLTH Europe!
    As mentioned by Björn during the episode, we recommend reading The Checklist Manifesto: How to Get Things Right by Atul Gawande.
    To dive further into the applications and use cases around Caresyntax’s platform for surgery, take a look at the Resources section of their website.
    You can follow Caresyntax’s activities on LinkedIn and X, and get in touch with Björn via LinkedIn.
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