The Biorevolution Podcast

The Biorevolution Podcast

We're doomed we're saved #7

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GERMAN EPISODE Künstliche Intelligenz könnte dabei helfen, Krankheiten zu erkennen und zu heilen, Ärzten eine schnellere oder genauere Diagnose ermöglichen, und den Prozess der Arzneimittelentwicklung effizienter, kostengünstiger und erfolgreicher machen. Gleichzeitig wirft die Verwendung von Künstlicher Intelligenz im medizinischen Bereich schwierige ethische Fragen auf. Algorithmen, die Parameter wie elektronische Patientenakten, genetische Analysen oder Marker psychiatrischer Erkrankungen zur Vorhersage menschlicher Gesundheit nutzen könnten inhärente Bias kodieren und für unethische Fragestellungen verwendet werden. In Folge 7 von We’re doomed, we’re saved besprechen Louise von Stechow und Andreas Horchler die positiven und negativen Aspekte von Künstlicher Intelligenz im Bereich der Medizin und Pharmazeutischen Industrie.

Content and Editing: Louise von Stechow and Andreas Horchler

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: Merrit Thomas Via Unsplash

References: AI history

  1. https://www.dataversity.net/brief-history-deep-learning/#
  2. https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/
  3. https://www.livescience.com/47544-history-of-a-i-artificial-intelligence-infographic.html
  4. https://sitn.hms.harvard.edu/special-edition-artificial-intelligence/
  5. https://www.technologyreview.com/2016/11/10/156141/the-future-of-artificial-intelligence-and-cybernetics/
  6. https://news.cornell.edu/stories/2019/09/professors-perceptron-paved-way-ai-60-years-too-soon Image recognition algorithms
  7. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30160-6/fulltext
  8. https://www.bmj.com/company/newsroom/concerns-over-exaggerated-study-claims-of-ai-outperforming-doctors/
  9. https://www.nature.com/articles/s41746-020-00324-0
  10. https://www.sentisight.ai/the-use-of-ai-image-recognition-in-medicine/ Genomic analyses
  11. https://www.genome.gov/human-genome-project/Timeline-of-Events
  12. https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-019-0689-8 The electronic doctor
  13. https://www.nytimes.com/2021/07/16/technology/what-happened-ibm-watson.html
  14. https://erp.today/ai-in-healthcare-what-now-after-watson/
  15. https://erp.today/cloud-healthcare-and-the-data-state-of-play/ Drug development
  16. https://www.genengnews.com/artificial-intelligence/the-future-of-biotech-in-an-artificially-intelligent-world/
  17. https://pharmaintelligence.informa.com/resources/product-content/2021-clinical-development-success-rates
  18. https://www2.deloitte.com/content/dam/insights/us/articles/32961_intelligent-drug-discovery/DI_Intelligent-Drug-Discovery.pdf
  19. https://www.globaldata.com/pharmaceutical-industry-continues-bet-big-ai/
  20. https://www.europeanpharmaceuticalreview.com/news/112044/dsp-1181-drug-created-using-ai-enters-clinical-trials/
  21. https://www.nature.com/articles/d41586-019-02871-3#ref-CR5
  22. https://www.unlearn.ai/post/generating-digital-twins-with-multiple-sclerosis-using-probabilistic-neural-networks
  23. https://themedicinemaker.com/discovery-development/intelligent-repurposing

Ethics of AI

  1. http://www.bbc.com/future/story/20170307-the-ethical-challenge-facing-artificial-intelligence
  2. https://intelligence.org/files/EthicsofAI.pdf
  3. https://www.theatlantic.com/health/archive/2018/08/machine-learning-dermatology-skin-color/567619/

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About this podcast

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?

Content and Editing:
Louise von Stechow and Andreas Horchler

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 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/

Image: Kelly Sikkema via Unsplash

by Louise von Stechow

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