The Biorevolution Podcast

The Biorevolution Podcast

By Louise von StechowScienceLife SciencesNatural Sciences
Download on the App Store

The Biorevolution Podcast episodes

  • Everything Everywhere All at Once: Mapping the Bigger Picture with Macroscopes
    The BioRevolution Podcast - Episode 43

    We’re living in the big data age, surrounded by personal, scientific, and societal data that could help us understand the world, make decisions, and even forecast what comes next. But complex systems don’t fit neatly into human intuition, and we can’t “see” meaning in massive datasets without help.

    That’s where macroscopes come in: software tools designed to make complexity interpretable, explorable and allow users to “make sense” out of big, complex data.
    In this episode of the BioRevolution podcast, Andreas Horchler and Louise von Stechow have Katy Börner as a guest. Katy is Professor of Engineering and Information Science at Indiana University, leads the international Human Reference Atlas, and is one of the founders and curators behind the long-running Places & Spaces: Mapping Science exhibit.
    Together they discuss why visualization + interpretation + communication of data matter just as much as data collection—and how macroscopes can help us make sense of our complex world.

    Find Katy here:

    https://cns-iu.github.io/katy

    https://www.bihealth.org/en/notices/prof-dr-katy-boerner-connects-anatomy-and-disease-with-the-multiscale-human-reference-atlas
    https://www.linkedin.com/in/katy-b%C3%B6rner-a03837/

    Read more about data visualization and macroscopes here:

    https://scimaps.org/macroscopes
    https://bigthink.com/hard-science/macroscopes/
    https://www.pnas.org/doi/10.1073/pnas.1807180116
    https://dl.acm.org/doi/epdf/10.1145/1897852.1897871
    https://dl.acm.org/doi/10.1145/3093338.3106387
    https://mitpress.mit.edu/9780262014458/atlas-of-science/
    https://mitpress.mit.edu/9780262028813/atlas-of-knowledge/
    https://mitpress.mit.edu/9780262045957/atlas-of-forecasts/
    https://mitpress.mit.edu/9780262049924/atlas-of-macroscopes/
    https://mcn.edu/resources/meet-the-macroscopes/
    https://journals.sagepub.com/doi/10.1177/0894439316643050
    https://pubmed.ncbi.nlm.nih.gov/27032088/
    https://pubmed.ncbi.nlm.nih.gov/24626916/
    https://archive.org/details/macroscopenewwor0000rosn
    dagstuhl.de/21152/places-spaces/

    Envisioning Intelligences exhibit call is at https://scimaps.org/call-for-submissions

    Disclaimer:

    Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

    Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

    scientific communication: https://science-tales.com/
    Podcasts: https://www.podcon.de/
    Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

    40 min
  • The Rare Lens: AI-based image recognition for rare disease diagnoses
    The Biorevolution Podcast - Epsiode 42

    The Rare Lens: AI-based image recognition for rare disease diagnoses

    There are around 6000 rare diseases, which affect over 300 million people worldwide. Rare diseases are often difficult to diagnose, and people affected by a rare disease wait an average of five years or more for a correct diagnosis, which can be a heavy burden on patients and also hinders rare disease research and drug development.
    Artificial Intelligence (AI) can help address these diagnostic challenges. One promising approach is Next-Generation Phenotyping (NGP), which uses AI to detect disease-specific phenotypic patterns – such as distinct facial features – commonly associated with rare diseases, to support diagnosis and guide genetic testing.
    In the newest episode of the BioRevolution podcast, Andreas Horchler and Louise von Stechow spoke to two researchers from the University of Bonn working on next-generation phenotyping approaches: Dr. Adele Ruder, MSL for GestaltMatcher, and Dr. Behnam Javanmardi, Group Leader: AI for Rare Diseases and Head of Bone2Gene. We explored the potential of AI-driven diagnosis for rare diseases and what this could mean for people affected by rare diseases, their physicians, and researchers and drug developers in the rare disease space.
    Find Adele and GestaltMatcher here:
    https://www.linkedin.com/in/adeleruder/
    https://www.gestaltmatcher.org/
    Find Behnam and Bone2Gene here:
    https://www.linkedin.com/in/behnam-javanmardi/
    https://bone2gene.org
    For further reading explore the following references:

    1. https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(24)00056-1/fulltext https://www.nature.com/articles/s41431-024-01604-z
    2. https://pubmed.ncbi.nlm.nih.gov/19627523/
    3. https://www.researchsquare.com/article/rs-2110140/v1
    4. https://elifesciences.org/articles/02020
    5. https://www.face2gene.com/
    6. https://facematch.org.au/home
    7. https://cliniface.org/
    8. https://www.gestaltmatcher.org/
    9. https://bone2gene.org/
    10. https://www.nature.com/articles/s41591-018-0279-0
    11. https://www.nature.com/articles/s10038-019-0619-z
    12. https://www.nature.com/articles/s41588-021-01010-x
    13. https://ieeexplore.ieee.org/document/10030218
    14. https://www.nature.com/articles/s41431-025-01787-z
      15. https://doi.org/10.1007/s00112-024-02118-0
    15. https://pubmed.ncbi.nlm.nih.gov/36779427/
    16. https://www.nature.com/articles/s41588-023-01469-w
    17. https://www.medrxiv.org/content/10.1101/2023.06.06.23290887v4
    18. https://www.nature.com/articles/s41599-024-02894-w
    19. https://www.nature.com/articles/d41586-022-03050-7
    20. https://www.nature.com/articles/s41746-024-01232-3
    21. https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202414507
    22. https://www.medrxiv.org/content/10.1101/2023.06.06.23290887v4.full.pdf

      23. Disclaimer:

      Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

      Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

      scientific communication: https://science-tales.com/
      Podcasts: https://www.podcon.de/
      Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

      38 min
    23. Virtual cells - Decoding life's basic units
      The Biorevolution Podcast - Episode 41

      Cells are the basic units of life. For over a century, understanding cellular processes has been the basis for understanding human development and disease, and for deciphering the actions of novel disease treatments. But there’s a caveat: wet-lab studies in cells take time and money, they are often reductionist. To overcome those challenges of the wet lab, researchers have for some time tried to model cellular processes mathematically, in so-called virtual cells. With the availability of large-scale datasets and sophisticated AI models, virtual cells are advancing into useful tools for researchers.

      In episode 41 of the BioRevolution podcast we spoke to Prof. Fabian Theis, Chair of Mathematical Modeling of Biological Systems at TU Munich and director of the Institute of Computational Biology at the Helmholtz Zentrum München. With Fabian we discussed the convergence of mathematics and biology into virtual cell models and their potential use cases in basic research and drug development.
      You can find more on Fabian's research here: Theis Lab: https://www.helmholtz-munich.de/en/icb/research-groups/theis-lab

      Disclaimer:

      Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

      Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

      scientific communication: https://science-tales.com/
      Podcasts: https://www.podcon.de/
      Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

      Image Aden Lao via unsplash

      Selected recent publication from the Theis lab:

      Active learning framework for transcriptomics-based identification of disease phenotypes https://pubmed.ncbi.nlm.nih.gov/41129612/
      Nichformer (2025) https://pubmed.ncbi.nlm.nih.gov/41168487/
      Cell Forge (2025) https://arxivexplained.com/papers/cellforge-agentic-design-of-virtual-cell-models https://arxiv.org/abs/2508.02276
      Graph neural networks for emergent tissue properties (2025) https://pubmed.ncbi.nlm.nih.gov/40998830/
      Self-supervised learning in single-cell genomics (2024) https://www.nature.com/articles/s42256-024-00934-3
      Integrated Human Lung Cell Atlas (HLCA) (2022) https://www.biorxiv.org/content/10.1101/2022.03.10.483747v1
      Additional research projects and publications here: https://www.helmholtz-munich.de/en/icb/research-groups/theis-lab#c25369

      Additional background info:

      1. https://www.nature.com/articles/d41586-025-02011-0
      2. https://www.cell.com/cell/fulltext/S0092-8674(24)01332-1
      3. https://pubmed.ncbi.nlm.nih.gov/11356281/
      4. https://www.humancellatlas.org
      5. https://arcinstitute.org/news/virtual-cell-model-state
      6. https://arcinstitute.org/news/arc-vevo
      7. https://thisweekinai.news/2025/08/21/chan-zuckerberg-initiatives-rbio-uses-virtual-cells-to-coach-ai-bypassing-lab-work/
      8. https://chanzuckerberg.com/newsroom/billion-cells-project-launches-advance-ai-biology/
      9. https://arxiv.org/abs/2502.09775
        10. 43 min
      10. The 8 Essentials For Overcoming Cancer
        The BioRevolution Podcast - Episode 49

        Every second man and every third woman will experience a cancer diagnosis during their lives. Getting the news can be devastating and paralyzing, but making the right decisions about treatment, care, mindset and lifestyle is a crucial part of finding a cure.

        In her book “The 8 Essentials for Overcoming Cancer - Cancer, I can” medical doctor and pharma executive, Stefanie Walther describes her very personal journey and gives holistic advice for battling a cancer diagnosis, from finding the right treatment center and medical team, to finding the right diet, exercise plan and sleep schedule.
        In the newest episode of the BioRevolution podcast Andreas Horchler and Louise von Stechow spoke to Stefanie Walther about her story, her book and about the outlook of eradicating cancer as a disease in the future.

        Find Stefanie Walther:

        https://www.linkedin.com/in/dr-stefanie-walther-ab871966/
        Order “The 8 Essentials For Overcoming Cancer - Cancer, I Can” here:
        https://www.amazon.de/Essentials-Overcoming-Cancer-Can/dp/B0FNMDZT5Y

        Disclaimer:

        Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

        Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

        scientific communication: https://science-tales.com/
        Podcasts: https://www.podcon.de/
        Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

        Further reading on the topics we discussed during the episode and found in the book can be found in here:

        CANCER FACT AND FIGURES

        https://www.cancer.org/cancer.html
        https://www.cancer.org/cancer/risk-prevention/understanding-cancer-risk/lifetime-probability-of-developing-or-dying-from-cancer.html
        https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2025/2025-cancer-facts-and-figures-acs.pdf
        https://pubmed.ncbi.nlm.nih.gov/27196525/
        https://www.health.harvard.edu/staying-healthy/more-evidence-that-a-healthy-lifestyle-might-help-prevent-cancer
        https://www.who.int/activities/preventing-cancer

        ESSENTIAL 1: CALM DOWN

        https://www.cancer.org/research/cancer-facts-statistics/survivor-facts-figures.html

        ESSENTIAL 2: ASK FOR HELP

        https://pubmed.ncbi.nlm.nih.gov/31123497/

        ESSENTIAL 3: NAME THE DISEASE

        https://pubmed.ncbi.nlm.nih.gov/30822350/
        https://pmc.ncbi.nlm.nih.gov/articles/PMC5038982/

        ESSENTIAL 4: FIND A CANCER CENTER FOR ERADICATION

        AND REHABILITATION
        https://pubmed.ncbi.nlm.nih.gov/12648693/
        https://pmc.ncbi.nlm.nih.gov/articles/PMC6132422/

        ESSENTIAL 5: I STAY MENTALLY STRONG

        https://pubmed.ncbi.nlm.nih.gov/22438289/
        https://pubmed.ncbi.nlm.nih.gov/31024362/

        ESSENTIAL 6: CHOOSE HEALTHY FOODS

        https://www.aicr.org/wp-content/uploads/2024/11/summary-third-expert-report.pdf
        https://www.aicr.org/cancer-prevention/healthy-eating/new-american-plate/

        ESSENTIAL 7: ACTIVATE YOUR BODY

        https://www.cancer.gov/news-events/cancer-currents-blog/2019/cancer-survivors-exercise-guidelines-schmitz
        https://pubmed.ncbi.nlm.nih.gov/34213826/

        ESSENTIAL 8: NORMALIZE YOUR SLEEP

        https://pubmed.ncbi.nlm.nih.gov/29032088/

        OUTLOOK

        https://www.nejm.org/doi/full/10.1056/NEJMra1204479
        https://www.annalsofoncology.org/article/S0923-7534(19)37684-7/fulltext

        44 min
      11. Creative Matter: Where Art Meets Science
        The biorevolution podcast #39

        This time Louise and Andreas invited the artist Annette Goessel into the show to discuss the once united forces of art and science that seem so seperate in our day and age.

        And: For the first time since the beginnings of the show we speak German once more (apologies to the non German speakers)
        In dieser Episode diskutieren wir die faszinierende Verbindung zwischen Kunst und Wissenschaft. Wir erkunden, wie Neugier und Emotionen sowohl Künstler als auch Wissenschaftler antreiben und welche Rolle der kreative Prozess dabei spielt. Zudem betrachten wir die Herausforderungen und Chancen, die Künstliche Intelligenz für beide Disziplinen mit sich bringt.

        Disclaimer:

        Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

        Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

        scientific communication: https://science-tales.com/
        Podcasts: https://www.podcon.de/

        Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

        Image: Annette Goessel
        You can find Annette Goessel's art here: https://www.annettegoessel.de/

        43 min
      12. Out of the Lab, Into the Code: An Age of AI Scientists?
        The biorevolution podcast #38

        It sounds promising: AI chatbots acting as scientists, condensing the work of weeks, months, or even years of reading, debate, and hour-long lab meetings into minutes.

        Researchers at Stanford University and Google DeepMind have released multi-agent AI “scientist” systems. But how good are they, really, and will they overcome current limitations of large language models like OpenAI’s GPT or Google’s Gemini—such as the lack of robust reasoning capabilities, which are crucial for scientific discovery?
        In the 38th episode of the BioRevolution Podcast, Andreas Horchler and Louise von Stechow discuss the promise and the reality of AI scientists.
        Learn more about the future of biotech in our podcasts and keynotes. Contact us here:
        scientific communication: https://science-tales.com/
        Podcasts: https://www.podcon.de/
        Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

        Image: Igor Saikin via Unsplash

        References

        AI scientists overview

        1. https://www.nature.com/articles/d41586-025-02241-2
        2. https://www.medrxiv.org/content/10.1101/2025.07.07.25331008v1
        3. https://www.nature.com/articles/d41586-025-02028-5
        4. https://arxiv.org/abs/2410.09403
        5. https://www.nature.com/articles/d41586-023-02218-z
        6. https://www.nature.com/articles/d41586-025-01364-w
        7. https://valutric.com/googles-ai-co-scientist-vs-openais-deep-research-vs-perplexitys-deep-research/
        8. https://www.nature.com/articles/d41586-025-00343-5

          9. AI scientists

          Sakana AI

          1. https://www.nature.com/articles/d41586-024-02842-3
          2. https://sakana.ai/ai-scientist-first-publication/
          3. https://www.wired.com/story/ai-scientist-ubc-lab/
            4. Google’s co-scientist
          4. https://research .google/blog/accelerating-scientific-breakthroughs-with-an-ai-co-scientist/
          5. https://arxiv.org/abs/2502.18864
            6. DeepResearch
          6. https://www.nature.com/articles/d41586-025-01485-2
          7. https://www.science.org/content/blog-post/evaluation-deep-research-performance
          8. https://modernsciences.org/openai-deep-research-agent-ai-tool-limitations-february-2025/
          9. https://www.nature.com/articles/d41586-025-00377-9
          10. https://arxiv.org/abs/2409.13740
            11. Stanford
          11. https://www.nature.com/articles/d41586-024-01684-3

            12. Self-driving labs

            1. https://www.nature.com/articles/s44286-023-00002-4
            2. https://pmc.ncbi.nlm.nih.gov/articles/PMC10700133/
              3. 30 min
            3. Medical machines get smarter - AI in Medtech
              The biorevolution podcast #37

              The $600 billion MedTech industry is undergoing a technological transformation. From AI-powered medical imaging to smart diagnostics and remote monitoring tools, artificial intelligence and machine learning are reshaping how care is delivered — and increasingly how patients manage their own health.

              In this episode of the BioRevolution podcast, we are joined by our guest, idalab’s MedTech expert Julian Beimes to discuss how this AI-driven wave aligns with broader shifts in medicine: virtualization, personalization, and prevention. But alongside the innovation, we also unpack the challenges — especially the complex and often fragmented regulatory environment. Are policies like the EU AI Act promoting safety, or holding back progress?
              Find Julian here: https://idalab.de/team/julian-beimes
              Find idalab here: https://idalab.de/team/julian-beimes

              Disclaimer:

              Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

              Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

              scientific communication: https://science-tales.com/
              Podcasts: https://www.podcon.de/
              Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

              Image: testalize-me-SVmaaACzcJ8-unsplash

              1. https://www.bcg.com/publications/2023/generative-ai-in-medtech
              2. https://pubmed.ncbi.nlm.nih.gov/39775040/
              3. https://www.medtechdive.com/news/fda-ai-medical-devices-growth/728975/
              4. https://www.medtechdive.com/news/ai-medtech-outlook-4-trends-2025/737942/
              5. https://pmc.ncbi.nlm.nih.gov/articles/PMC9253753/
              6. https://www.forbes.com/councils/forbestechcouncil/2023/01/17/achieving-next-level-value-from-ai-by-focusing-on-the-operational-side-of-machine-learning/
              7. https://themindstudios.com/blog/ai-and-wearable-technology-in-healthcare/
              8. https://pmc.ncbi.nlm.nih.gov/articles/PMC9253753/
              9. https://www.fda.gov/news-events/press-announcements/fda-issues-comprehensive-draft-guidance-developers-artificial-intelligence-enabled-medical-devices
              10. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/artificial-intelligence-enabled-device-software-functions-lifecycle-management-and-marketing
              11. https://www.nature.com/articles/s41746-024-01232-3
              12. https://doi.org/10.1515/bmt-2023-0325
              13. https://www.medtechdive.com/news/fda-digital-health-advisory-committee-gen-ai/735371/
              14. https://www.nature.com/articles/d41591-023-00098-4
              15. https://vamstar.io/newsroom/building-ai-ready-teams-digital-and-commercial-upskilling-in-medtech/
              16. https://www.weforum.org/stories/2025/03/ai-healthcare-strategy-speed/
              17. https://healthjournalism.org/blog/2025/02/hospitals-dont-always-test-ai-for-accuracy-and-bias-study-says/
                18. 28 min
              18. We are what we eat – The future of food
                The biorevolution podcast #36

                Food is a topic that is both deeply personal and of global importance. What we eat affects our health and longevity, but also the lives of animals and the future of our planet.

                New technologies and scientific discoveries are now enabling us to transform how we produce food and personalize nutrition in entirely new ways.
                In this episode, Andreas Horchler and Louise von Stechow speak with food expert and CEO of Berlin Food Campus, Lia Carlucci, about key trends shaping the future of food—from alternative proteins to personalized nutrition.

                You can find Lia here: https://www.linkedin.com/in/lia-carlucci-foodtech-entrepreneur-ceo-speaker/?originalSubdomain=de

                And Berlin Food campus here: https://www.foodcampus.berlin/

                Disclaimer:
                Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

                Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

                scientific communication: https://science-tales.com/
                Podcasts: https://www.podcon.de/
                Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

                Image: Markus Spiske via Unsplash

                References:

                1. https://www.nature.com/articles/d41586-025-00879-6
                2. https://www.eufic.org/en/who-we-are/annual-reports/
                3. https://www.ers.usda.gov/publications/pub-details?pubid=109895
                4. https://gfi.org/
                5. https://thehumaneleague.org/article/plant-based-meat
                6. https://www.livescience.com/lab-grown-meat
                7. https://www.sciencefocus.com/science/what-is-lab-grown-meat-a-scientist-explains-the-taste-production-and-safety-of-artificial-foods
                8. https://www.sciencedirect.com/science/article/abs/pii/S0309174012001210
                9. https://pubmed.ncbi.nlm.nih.gov/30100674/
                  10. 10.https://pubmed.ncbi.nlm.nih.gov/32118026/
                10. https://nutritionsource.hsph.harvard.edu/what-should-you-eat/protein/
                11. https://www.frontiersin.org/research-topics/69360/personalized-nutrition-current-status-and-future-directions
                12. https://www.bmj.com/content/361/bmj.k2173
                13. https://www.nih.gov/news-events/news-releases/nih-awards-170-million-precision-nutrition-study#:~:text=The%20National%20Institutes%20of%20Health%20is%20awarding%20%24170,predict%20individual%20responses%20to%20food%20and%20dietary%20routines.
                14. https://www.bannerhealth.com/healthcareblog/advise-me/the-promise-and-perils-of-personalized-nutrition-separating-fact-from-fiction
                15. https://pmc.ncbi.nlm.nih.gov/articles/PMC9570623/
                16. https://pmc.ncbi.nlm.nih.gov/articles/PMC11357412/
                  17. 42 min
                17. New tech, new talent, new challenges – pharma leadership in the age of AI
                  The biorevolution podcast #35

                  Despite great hopes for Artificial Intelligence (AI) in biotech and pharma—with investments exceeding $50 billion over the past ten years—the question of when the technology will reach maturity remains difficult to answer. How can biotech and pharma leaders navigate this complex gray area, where hype around the technology obscures the outlook and few concrete milestones provide clear signposts for decision-making?

                  In this episode of the BioRevolution podcast, Louise von Stechow and Andreas Horchler speak with their guest, idalab founder Paul von Bünau, about the potential of AI in biotech. They explore how leaders can adapt internal processes, support their teams in facing the challenges AI brings, and examine whether AI has the potential to make us better leaders.

                  Find Dr. Paul von Bünau here: https://www.linkedin.com/in/paulvonbuenau/

                  and idalab here: https://idalab.de/

                  Disclaimer:

                  Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

                  Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

                  scientific communication: https://science-tales.com/
                  Podcasts: https://www.podcon.de/
                  Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

                  Image: Matteo Vistocco via Unsplash

                  References:

                  1. https://www.mckinsey.com/industries/life-sciences/our-insights/how-artificial-intelligence-can-power-clinical-development
                  2. https://www.science.org/content/blog-post/ai-drugs-so-far
                  3. https://www.mckinsey.com/industries/life-sciences/our-insights/scaling-gen-ai-in-the-life-sciences-industry
                  4. https://www.weforum.org/stories/2025/03/ai-healthcare-strategy-speed/
                  5. https://www.forbes.com/councils/forbestechcouncil/2023/01/17/achieving-next-level-value-from-ai-by-focusing-on-the-operational-side-of-machine-learning/
                  6. https://endpts.com/the-endpoints-slack-interview-siddhartha-mukherjee-on-the-doctor-writer-worldview-ai-and-the-future-of-cancer/
                  7. https://www.mckinsey.com/industries/life-sciences/our-insights/gen-ai-a-game-changer-for-biopharma-operations
                  8. https://www.forbes.com/sites/bernardmarr/2024/11/28/ai-wont-replace-humans--heres-the-surprising-reason-why/
                  9. https://hbr.org/2024/05/ais-trust-problem
                  10. https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/
                  11. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
                  12. https://www.stifterverband.org/sites/default/files/2025-01/ki-kompetenzenindeutschen_unternehmen.pdf
                  13. https://hbr.org/2024/06/how-ai-can-make-make-us-better-leaders
                  14. https://www.kearney.com/service/digital-analytics/article/leadership-in-the-age-of-ai
                  15. https://www.microsoft.com/en-us/research/uploads/prod/2025/01/lee2025aicriticalthinking_survey.pdf?ref=404media.co
                  16. https://www.forbes.com/councils/forbesbusinessdevelopmentcouncil/2025/01/16/5-ways-leaders-can-use-ai-to-level-up-in-2025/
                  17. https://www.forbes.com/councils/forbescoachescouncil/2024/11/25/riding-the-ai-wave-how-leaders-can-adapt-and-thrive/
                  18. https://www.wired.com/2016/03/two-moves-alphago-lee-sedol-redefined-future/
                    19. 19.
                    ttps://www.forbes.com/sites/karadennison/2023/03/14/the-impact-of-artificial-intelligence-on-leadership-how-to-leverage-ai-to-improve-decision-making/
                    42 min
                  19. Illuminating the Dark Genome – New Insights into the Genetic Basis of Disease
                    The biorevolution podcast #34

                    More than 20 years after the Human Genome Project, enabled by new sequencing technologies, researchers are making progress in exploring the vast non-coding space that constitutes 98% of our genomes. This non-coding, or "dark," DNA harbors elements with important regulatory functions in health and disease. But pinpointing disease-relevant DNA elements within this massive DNA space can be like searching for a needle in a haystack. This difficult search can be eased by artificial intelligence (AI)-based tools, which predict the context-dependent relevance of certain DNA elements and highlight their role in different diseases, from cancer to rare neurodegenerative disorders.

                    For Episode 34 of the BioRevolution podcast, Andreas Horchler and Louise von Stechow are joined by CTO and co-founder of Berlin-based biotech LUCID Genomics, Dr. Hossein Moeinzadeh, to discuss the exciting field of non-coding DNA and how LUCID’s AI algorithm can help make sense of non-coding DNA — and how this could improve diagnoses of rare diseases and beyond.

                    Learn more about LUCID genomics AI tool here: https://www.lucid-genomics.com/technology

                    Find Dr. Hossein Moeinzadeh here: https://www.linkedin.com/in/mhossein-moeinzadeh/

                    Disclaimer:

                    Louise von Stechow & Andreas Horchler and their guests express their personal opinions, which are founded on research on the respective topics, but do not claim to give medical, investment or even life advice in the podcast.

                    Learn more about the future of biotech in our podcasts and keynotes. Contact us here:

                    scientific communication: https://science-tales.com/
                    Podcasts: https://www.podcon.de/
                    Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow

                    Image:

                    via Unsplash.
                    Further reading:

                    1. https://www.genome.gov/about-genomics/educational-resources/fact-sheets/human-genome-project
                    2. https://www.the-scientist.com/how-many-genes-are-in-the-human-genome-71673
                    3. https://pubmed.ncbi.nlm.nih.gov/15496913/
                    4. https://www.nature.com/articles/538275a
                    5. https://www.nature.com/articles/512009e
                    6. https://www.thelancet.com/journals/langlo/article/PIIS2214-109X(24)00056-1/fulltext#:~:text=Around%2080%25%20of%20rare%20diseases%20have%20a%20genetic,a%20rare%20disease%20die%20before%20age%205%20years.
                    7. https://www.science.org/doi/10.1126/science.aak9849
                    8. https://www.cell.com/cell/abstract/S0092-8674(24)01206-6
                    9. https://genomemedicine.biomedcentral.com/articles/10.1186/gm97
                    10. https://www.nature.com/articles/520615a
                    11. https://www.science.org/doi/10.1126/science.abj6987
                    12. https://www.genome.gov/about-genomics/telomere-to-telomere
                    13. https://www.nature.com/articles/s41586-022-04965-x
                    14. https://www.nature.com/articles/nature11247
                    15. https://pubmed.ncbi.nlm.nih.gov/25057982/
                    16. https://www.nature.com/articles/s41467-021-24041-8
                    17. https://www.nature.com/articles/s12276-018-0087-0.pdf
                    18. https://pubmed.ncbi.nlm.nih.gov/37508427/
                    19. https://www.nature.com/articles/s41576-020-0236-x
                    20. https://www.nature.com/articles/s41592-022-01730-w
                    21. https://pubmed.ncbi.nlm.nih.gov/32240773/
                    22. https://pharmafeatures.com/illuminating-the-dark-genome-uncharted-frontiers-in-therapeutic-discovery/
                    23. https://www.nature.com/articles/s41467-025-57695-9
                    24. https://www.ncbi.nlm.nih.gov/dbvar/content/overview/
                    25. https://pubmed.ncbi.nlm.nih.gov/37041138/
                    26. https://www.nature.com/articles/s41436-020-00974-1
                    27. https://pmc.ncbi.nlm.nih.gov/articles/PMC11202925/
                    28. https://www.crick.ac.uk/news/2024-10-04_illuminating-the-dark-genome
                    29. https://www.nature.com/articles/s43018-020-00114-3
                    30. https://www.openaccessgovernment.org/article/how-the-dark-genome-enlightens-the-molecular-mechanisms-of-diseases/178933/
                    31. https://link.springer.com/article/10.1186/s13059-020-02178-x
                    32. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02631-z
                    33. https://www.ft.com/content/2851edf3-4a5c-42a0-b3e5-36fec787f808
                    34. https://www.science.org/doi/10.1126/scitranslmed.adj9283
                    35. https://www.science.org/doi/10.1126/scitranslmed.3010422
                    36. https://pmc.ncbi.nlm.nih.gov/articles/PMC11167095/
                    37. https://www.bbc.com/future/article/20230412-the-mystery-of-the-human-genomes-dark-matter
                    38. https://evaxion.ai/
                    39. https://www.nature.com/articles/s41587-021-01088-y
                    40. https://nachrichten.idw-online.de/2024/09/02/eur1-3m-pre-seed-funding-for-lucid-genomics-to-fine-tune-their-ai-models-for-diagnostics-and-biomarker-discovery
                    41. https://www.biospace.com/press-releases/dark-genome-biotech-hervolution-therapeutics-announces-11-7m-series-a-to-advance-treatments-for-cancer-diseases-of-aging
                    42. https://geneuro.ch/en/herv-approach/pipeline-overview/
                    43. https://rometx.com/home/
                    44. https://www.labiotech.eu/trends-news/lncrna-dark-genome-buzz/
                    45. https://www.hayatx.com/
                    46. https://www.pharmaceutical-technology.com/news/enara-bio-secures-32-5m-for-dark-antigen-cancer-therapies/
                      47. 39 min

                    About The Biorevolution Podcast

                    From the publisher's feed

                    The Biorevolution Podcast with Andreas Horchler and Louise von Stechow – father and daughter, journalist and biologist, talking about the technologies of the biorevolution. Can genetic engineering, synthetic biology, and artificial intelligence save humanity from disease, climate change, and overpopulation, or are these technologies the first step towards its downfall?