InSilicoUK에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 InSilicoUK 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
National Geographic photographer and conservationist Jaime Rojo has spent decades capturing the beauty and fragility of the monarch butterfly. Their epic migration is one of nature’s most breathtaking spectacles, but their survival is under threat. In this episode, Jaime shares how his passion for photography and conservation led him to document the monarchs’ journey. He and host Brian Lowery discuss the deeper story behind his award-winning images, one about resilience, connection, and the urgent need to protect our natural world. See Jaime's story on the monarch butterflies at his website: rojovisuals.com , and follow Brian Lowery at knowwhatyousee.com .…
InSilicoUK에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 InSilicoUK 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This is the official Podcast of the InSilicoUK Pro Innovation Regulations Network. We’re uniting visionaries from across all stakeholders to co-create an international strategy that fast-tracks virtual clinical trials, propelling healthcare innovation. Join us as we explore how computational modelling is reshaping patient care, boosting the economy, and accelerating medical breakthroughs. Tune in for insights on what in silico evidence is in medicine and how we can speed up its adoption. The future of healthcare is here – be part of the revolution.
InSilicoUK에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 InSilicoUK 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This is the official Podcast of the InSilicoUK Pro Innovation Regulations Network. We’re uniting visionaries from across all stakeholders to co-create an international strategy that fast-tracks virtual clinical trials, propelling healthcare innovation. Join us as we explore how computational modelling is reshaping patient care, boosting the economy, and accelerating medical breakthroughs. Tune in for insights on what in silico evidence is in medicine and how we can speed up its adoption. The future of healthcare is here – be part of the revolution.
Would you trust a computer to help decide your medical treatment? Imagine doctors using virtual experiments to test treatments before giving them to real patients - sounds like sci-fi, right? But it's happening now! Just like pilots train in flight simulators before flying real planes, scientists are using powerful computer models to improve healthcare. But here's the million-pound question: How do we know these digital predictions are reliable? In this episode, we'll reveal the 10 golden rules scientists follow to ensure their virtual experiments are trustworthy. From making sure they're using the right data to having independent experts check their work (like having a second opinion from another doctor!), these rules are changing the game in modern medicine. Erdemir A, Mulugeta L, Ku JP, Drach A, Horner M, Morrison TM, Peng GCY, Vadigepalli R, Lytton WW, Myers JG Jr. Credible practice of modeling and simulation in healthcare: ten rules from a multidisciplinary perspective. J Transl Med. 2020 Sep 29;18(1):369. doi: 10.1186/s12967-020-02540-4. Manchel A, Erdemir A, Mulugeta L, Ku JP, Rego BV, Horner M, Lytton WW, Myers JG Jr, Vadigepalli R. A rubric for assessing conformance to the Ten Rules for credible practice of modeling and simulation in healthcare. medRxiv [Preprint]. 2024 Nov 2. doi: 10.1101/2024.10.31.24316520.…
What if In Silico Technologies in healthcare could truly serve everyone? The STANDING Together recommendations are revolutionising how we think about health data diversity and inclusion. From bustling cities to remote villages, discover how this groundbreaking initiative is reshaping healthcare technologies development through the voices of patients, practitioners, and policymakers. Join us as we explore the journey towards equitable healthcare technology that leaves no one behind We'll explore the importance of data diversity and patient involvement in shaping the future of medical technology—be it AI diagnostic systems or in silico technologies predicting drug interactions. Understand how these recommendations propose a shift towards a more responsible and inclusive approach, requiring the commitment of researchers, developers, policymakers, and patients themselves. This episode highlights patient advocacy, urging everyone to become proactive in their healthcare journey and data literacy. As AI becomes increasingly integrated into our lives, ensuring fairness and equity becomes paramount—a responsibility we all share. www.datadiversity.org Alderman JE, Palmer J, Laws E, McCradden MD, Ordish J, Ghassemi M, Pfohl SR, Rostamzadeh N, Cole-Lewis H, Glocker B, Calvert M, Pollard TJ, Gill J, Gath J, Adebajo A, Beng J, Leung CH, Kuku S, Farmer LA, Matin RN, Mateen BA, McKay F, Heller K, Karthikesalingam A, Treanor D, Mackintosh M, Oakden-Rayner L, Pearson R, Manrai AK, Myles P, Kumuthini J, Kapacee Z, Sebire NJ, Nazer LH, Seah J, Akbari A, Berman L, Gichoya JW, Righetto L, Samuel D, Wasswa W, Charalambides M, Arora A, Pujari S, Summers C, Sapey E, Wilkinson S, Thakker V, Denniston A, Liu X. Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations. Lancet Digit Health. 2025 Jan;7(1):e64-e88. doi: 10.1016/S2589-7500(24)00224-3.…
Ever wondered how we can make shoulder replacements safer without endless clinical trials? Step into the future of medical innovation where virtual patients help test new drugs and devices. Discover how computer simulations could make medicine safer, faster, and more ethical. Learn why experts believe digital trials might be the game-changer healthcare has been waiting for. Viceconti M, Emili L, Afshari P, Courcelles E, Curreli C, Famaey N, Geris L, Horner M, Jori MC, Kulesza A, Loewe A, Neidlin M, Reiterer M, Rousseau CF, Russo G, Sonntag SJ, Voisin EM, Pappalardo F. Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review. IEEE J Biomed Health Inform. 2021 Oct;25(10):3977-3982. doi: 10.1109/JBHI.2021.3090469.…
Why are clinical trials becoming so expensive? Dive into the financial maze of skyrocketing costs, from patient recruitment challenges to decentralization hurdles. Discover how patient-centric strategies and digital tools are reshaping the landscape, cutting costs, and boosting efficiency. Join us as we uncover the hidden drivers behind these rising expenses and explore innovative solutions to optimize clinical trials. Don't miss it! DiMasi JA, Grabowski HG, Hansen RW. Innovation in the pharmaceutical industry: New estimates of R&D costs. J Health Econ. 2016 May;47:20-33. Moore TJ, Heyward J, Anderson G, Alexander GC. Variation in the estimated costs of pivotal clinical benefit trials supporting the US approval of new therapeutic agents, 2015-2017: a cross-sectional study. BMJ Open. 2020 Jun 11;10(6):e038863. MDGroup (2020) The True Cost Of Patient Drop-outs In Clinical Trials. https://mdgroup.com/blog/the-true-cost-of-patient-drop-outs-in-clinical-trials…
Can 3D-printed, personalized knee surgery implants revolutionize arthritis treatment? Virtual clinical trials show promising results for a custom device that could make corrective knee surgery safer and more accessible. Discover how computer simulations are paving the way for the future of personalized orthopaedics. MacLeod AR, Peckham N, Serrancolí G, Rombach I, Hourigan P, Mandalia VI, Toms AD, Fregly BJ, Gill HS. Personalised high tibial osteotomy has mechanical safety equivalent to generic device in a case-control in silico clinical trial. Commun Med (Lond). 2021 Jun 30;1:6. doi: 10.1038/s43856-021-00001-7.…
How can we unlock innovation while ensuring responsible governance? Dive into the evolution of the PAGIT framework, where standards meet strategic oversight. From disruptive technologies to incremental advances, discover how this groundbreaking approach is reshaping the UK's innovation landscape. Join us to explore how smart regulation and standards are building tomorrow's technological future. Tait J (2024) The PAGIT framework: Its role in the governance of UK technologies to drive greater innovation, BSI, https://www.bsigroup.com/en-GB/insights-and-media/insights/whitepapers/update-to-pagit-framework-for-innovation.…
Can computers predict if medical devices are safe? Discover how virtual testing revolutionises surgical implant design, potentially saving millions in development costs and speeding up innovation. Learn how digital twins are helping bring safer bone screws to the operating room, faster than ever before. Nagaraja S, Loughran G, Baumann AP, Kartikeya K, Horner M. Establishing finite element model credibility of a pedicle screw system under compression-bending: An end-to-end example of the ASME V&V 40 standard. Methods. 2024 May;225:74-88. doi: 10.1016/j.ymeth.2024.03.003.…
This week we ask: Can computers help us revolutionise heart failure treatment? Join us as we explore how computational modelling is transforming cardiac pacing therapy. Discover how virtual trials are accelerating research, optimising treatment strategies, and improving patient outcomes—all before a single device is implanted. Learn how this cutting-edge approach is helping clinicians identify the right treatment for the right patient, potentially changing the future of cardiac care. A fascinating intersection of computer science and cardiology you won't want to miss. Strocchi M, Wijesuriya N, Mehta V, de Vere F, Rinaldi CA, Niederer SA. Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing. J Cardiovasc Transl Res. 2024 Jun;17(3):685-694. doi: 10.1007/s12265-023-10453-y.…
Ever wondered how we can make shoulder replacements safer without endless clinical trials? In today's episode, we dive into groundbreaking research that's revolutionising orthopaedic device testing through virtual simulations. We'll explore how researchers have developed a sophisticated computational model that predicts when shoulder implants might loosen – a critical concern in shoulder replacement surgery. What makes this study fascinating is its dual-validation approach, which combines laboratory tests with real-world clinical data. We'll unpack how the team validated their virtual model using foam block experiments and actual patient outcomes, creating a bridge between controlled testing and clinical reality. But here's the real kicker – this research could transform how we test medical devices, potentially reducing the need for extensive human trials. We'll discuss how this model handles different implant designs and surgical variations and what it means for the future of orthopaedic device development. Join us as we explore the intersection of virtual testing and real-world medicine! Maquer G, Mueri C, Henderson A, Bischoff J, Favre P. Developing and Validating a Model of Humeral Stem Primary Stability, Intended for In Silico Clinical Trials. Ann Biomed Eng. 2024 May;52(5):1280-1296. doi: 10.1007/s10439-024-03452-w…
Can the UK reclaim its crown as a clinical trials powerhouse? As Baroness Merron champions modernised regulations through Parliament, ABPI's candid assessment of MHRA reveals both progress and untapped potential. Join us in this bonus episode to explore how strategic reforms could transform the UK into a global life sciences leader. Association of British Pharmaceutical Society (2024). Enhancing the role of UK medicine regulation. https://www.abpi.org.uk/publications/enhancing-the-role-of-uk-medicine-regulation Baroness Merron (2024) Clinical Trials Regulations. Statement on UK Parliament 12-12-24. https://questions-statements.parliament.uk/written-statements/detail/2024-12-12/hlws306…
Can we truly trust mathematical models to shape the future of medicine? In this episode, we explore the fascinating world of Model-Informed Drug Development (MIDD)—a game-changing approach that blends cutting-edge simulations with real-world data to revolutionise how drugs are developed and approved. With the new ICH M15 Guideline, the global pharmaceutical landscape is moving towards a harmonised framework that ensures credibility, consistency, and trust in MIDD evidence. But how do these models hold up under scrutiny? And what does this mean for patient safety, regulatory decision-making, and the future of innovation in healthcare? Join us for an engaging discussion on the science, risks, and rewards of MIDD, and discover how this transformative approach is reshaping the way medicines are brought to life. Marshall S, Ahamadi M, Chien J, Iwata D, Farkas P, Filipe A, Frey N, Greene E, Kawai N, Li J, Lippert J, Musuamba Tshinanu F, Manolis E, Peterson MC, Sarem S, Shebley M, Tegenge M, Tsai CH, Tu CL, Otsubo Y, Wei J, Zhang L, Zhu H, Karlsson KE. Model-Informed Drug Development: Steps Toward Harmonized Guidance. Clin Pharmacol Ther. 2023 Nov;114(5):954-959. doi: 10.1002/cpt.3006.…
Public and patient involvement (PPI) have a central role in advancing the adoption of in silico technologies. We explore insights from two pivotal documents: a position paper from the Avicenna Alliance advocating for a coordinated international approach to PPI in digital health and feedback from a UK public advisory panel that influenced a groundbreaking UK Centre of Excellence on In Silico Regulatory Science and Innovation initiative led by InSilicoUK. Join us as we uncover the challenges, successes, and actionable strategies driving cultural change and fostering collaboration between researchers, patients, and the public in this rapidly evolving field. www.insilicouk.org www.avicenna-alliance.com…
In an era where precision matters most, computational modelling is reshaping how we approach medication during pregnancy. Join us as we explore groundbreaking research revealing how healthcare providers and expectant mothers are embracing mathematical simulations to tackle one of medicine's most complex challenges: safe and effective dosing during pregnancy. Discover why these sophisticated in silico approaches are gaining support in antenatal care, and what this means for the future of maternal-fetal medicine. We'll unpack the science, explore the stakeholder perspectives, and examine how these computational tools could transform pregnancy care from guesswork to precision medicine. Koldeweij C, Dibbets C, Franklin BD, Scheepers HCJ, de Wildt SN. A User- Driven Framework for Dose Selection in Pregnancy: Proof of Concept for Sertraline. Clin Pharmacol Ther. 2024 Sep 9. doi: 10.1002/cpt.3429. Koldeweij CJM, Dibbets AC, Ceulemans M, de Vries LC, Franklin BD, Scheepers HCJ, de Wildt SN. Willingness-to-use and preferences for model-informed antenatal doses: a cross-sectional study among European healthcare practitioners and pregnant women. Front Pharmacol. 2024 Aug 15;15:1403747. doi: 10.3389/fphar.2024.1403747. Koldeweij C, Kleuskens M, Litjens C, Franklin BD, Scheepers HCJ, de Wildt SN. Perceived barriers and facilitators for model-informed dosing in pregnancy: a qualitative study across healthcare practitioners and pregnant women. BMC Med. 2024 Jun 18;22(1):248. doi: 10.1186/s12916-024-03450-8.…
Ever wondered how scientists test new treatments without real patients? Discover how cutting-edge technology creates 'virtual twins' for medical research, ensuring everyone's fairly represented. Learn how this groundbreaking approach revolutionises healthcare testing while keeping it safer and more inclusive for all. Draghi B, Wang Z, Myles P, Tucker A. Identifying and handling data bias within primary healthcare data using synthetic data generators. Heliyon. 2024 Jan 10;10(2):e24164. doi: 10.1016/j.heliyon.2024.e24164.…
This week, we explore the ground-breaking potential of digital twins (DTs) to transform drug discovery and clinical trials. Generative AI, capable of creating realistic virtual representations of biological systems, is at the heart of this revolution. From simulating drug responses in individual cells to predicting patient outcomes in clinical trials, DTs promise to accelerate drug development and enhance precision medicine. We examine current applications and discuss challenges, including data scarcity and the need for greater model interpretability. Join us as we look ahead to the future of DTs, with a focus on multimodal and foundation models that offer a holistic understanding of complex biological systems. Bordukova M, Makarov N, Rodriguez-Esteban R, Schmich F, Menden MP. Generative artificial intelligence empowers digital twins in drug discovery and clinical trials. Expert Opin Drug Discov. 2024 Jan-Jun;19(1):33-42.…
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