In Silico Trials, Real Impacts!
๐๐ป ๐ฆ๐ถ๐น๐ถ๐ฐ๐ผ ๐ ๐ฒ๐ฑ๐ถ๐ฐ๐ถ๐ป๐ฒ ๐ฅ๐ฒ๐๐ผ๐น๐๐๐ถ๐ผ๐ป: ๐จ๐ ๐๐๐ถ๐ฅ๐ฆ๐โ๐ ๐ข๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ on ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐ง๐ฟ๐ถ๐ฎ๐น๐ & ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป Welcome to the official podcast of the ๐จ๐ ๐๐ฒ๐ป๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ ๐ฐ๐ฒ๐น๐น๐ฒ๐ป๐ฐ๐ฒ ๐ผ๐ป ๐๐ป ๐ฆ๐ถ๐น๐ถ๐ฐ๐ผ ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป (๐จ๐ ๐๐๐ถ๐ฅ๐ฆ๐) and the ๐๐ป๐ฆ๐ถ๐น๐ถ๐ฐ๐ผ๐จ๐ ๐ฃ๐ฟ๐ผ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ถ๐ผ๐ป๐ ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ. Discover how ๐ฐ๐ผ๐บ๐ฝ๐๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น๐น๐ถ๐ป๐ด and ๐๐ถ๐ฟ๐๐๐ฎ๐น ๐ฐ๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ฟ๐ถ๐ฎ๐น๐ are transforming healthcare: ๐ฌ ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐๐ฒ๐ฎ๐น๐๐ต ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป: Explore breakthrough virtual testing methods for medical devices and pharmaceuticals ๐ฅ ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐: Learn about ๐ถ๐ป ๐๐ถ๐น๐ถ๐ฐ๐ผ evidence revolutionizing patient care ๐ป ๐๐ผ๐บ๐ฝ๐๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ ๐ฒ๐ฑ๐ถ๐ฐ๐ถ๐ป๐ฒ: Understand how ๐ฑ๐ถ๐ด๐ถ๐๐ฎ๐น ๐๐๐ถ๐ป๐ and computer simulations accelerate drug development ๐ค ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป: Join experts discussing streamlined approval processes for medical innovations ๐ ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ๐: Explore cost-effective solutions driving medical advancement Our podcast brings together leading experts from: ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ ๐ฎ๐ด๐ฒ๐ป๐ฐ๐ถ๐ฒ๐ ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ companies ๐ ๐ฒ๐ฑ๐ถ๐ฐ๐ฎ๐น ๐ฑ๐ฒ๐๐ถ๐ฐ๐ฒ manufacturers ๐ฃ๐ต๐ฎ๐ฟ๐บ๐ฎ๐ฐ๐ฒ๐๐๐ถ๐ฐ๐ฎ๐น industries ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ถ๐ฐ research institutions ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ providers Each episode delves into cutting-edge topics including: ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐ฐ๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ฟ๐ถ๐ฎ๐น๐ methodology ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐๐๐ถ๐ป technology in healthcare ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ frameworks for ๐ถ๐ป ๐๐ถ๐น๐ถ๐ฐ๐ผ medicine ๐๐-๐ฝ๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ drug discovery ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ-๐ฎ๐ถ๐ฑ๐ฒ๐ฑ medical device testing ๐๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป policy Join our growing community of ๐ต๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ผ๐ฟ๐, ๐ฟ๐ฒ๐ด๐๐น๐ฎ๐๐ผ๐ฟ๐ ๐ฒ๐ ๐ฝ๐ฒ๐ฟ๐๐, and ๐บ๐ฒ๐ฑ๐ถ๐ฐ๐ฎ๐น ๐ฝ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น๐ as we explore the future of medicine through computational science and virtual trials. Subscribe now to stay at the forefront of ๐ต๐ฒ๐ฎ๐น๐๐ต๐ฐ๐ฎ๐ฟ๐ฒ ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป and learn how ๐ถ๐ป ๐๐ถ๐น๐ถ๐ฐ๐ผ ๐บ๐ฒ๐ฑ๐ถ๐ฐ๐ถ๐ป๐ฒ is revolutionising patient care, accelerating drug development, and transforming medical device testing. ๐ ๐๐ ๐ฝ๐น๐ผ๐ฟ๐ฒ ๐๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ป ๐ฆ๐ถ๐น๐ถ๐ฐ๐ผ ๐ ๐ฒ๐ฑ๐ถ๐ฐ๐ถ๐ป๐ฒ ๐๐ถ๐๐ต ๐จ๐! ๐ Join our thriving community and stay connected through our various platforms: ๐ ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ. www.insilicouk.org ๐ ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต & ๐ฃ๐๐ฏ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ www.zenodo.org/communities/insilicouk/records ๐๏ธ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐ ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น insilicouk.podbean.com ๐ผ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ ๐๐ฟ๐ผ๐๐ฝ: www.linkedin.com/groups/9169266 ๐๐๐ฏ: www.linkedin.com/showcase/ukceirsi ๐ ๐๐ผ๐ปโ๐ ๐บ๐ถ๐๐ ๐ผ๐๐! Follow us across these platforms to stay updated with the latest in ๐ถ๐ป ๐๐ถ๐น๐ถ๐ฐ๐ผ innovations, regulatory developments, and groundbreaking research. Join the conversation and become part of the ๐จ๐ ๐๐๐ถ๐ฅ๐ฆ๐ community shaping the future of healthcare! ๐

Welcome to this Podcast
Episodes

5 days ago
5 days ago
Is the healthcare sector prepared to harness synthetic data's transformative potential whilst navigating its hidden pitfalls? This thought-provoking episode delves into the murky waters of synthetic data governance in medical research, examining how generative AI is reshaping our approach to patient information. As algorithms increasingly create convincing facsimiles of real clinical data, we explore the tantalising benefitsโenhanced privacy protection, expanded research capabilities, and accelerated innovation cyclesโalongside the concerning governance vacuum that threatens to undermine these advances. Our discussion unpacks why the absence of standardised creation and evaluation frameworks is stalling widespread adoption, despite synthetic data's promise. We make the case for urgent development of robust data standards, ethical guidelines and cross-disciplinary collaboration to ensure this powerful tool serves healthcare's highest goals. Join us as we navigate the complex terrain where technological innovation meets patient protection, and discover why establishing clear governance frameworks today is essential for tomorrow's medical breakthroughs.
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Boraschi D, van der Schaar M, Costa A, Milne R. Governing synthetic data in medical research: the time is now. Lancet Digit Health. 2025 Feb 20:S2589-7500(25)00011-1.ย

Monday Apr 07, 2025
Monday Apr 07, 2025
๐ช๐ต๐ฎ๐ ๐ถ๐ณ ๐๐ต๐ฒ ๐ป๐ฒ๐
๐ ๐ฐ๐น๐ถ๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ฟ๐ถ๐ฎ๐น ๐ฏ๐ฟ๐ฒ๐ฎ๐ธ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐ถ๐ ๐ฎ๐น๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ? This episode explores the fascinating world of virtual patient models and stochastic engineering, unveiling how digital simulations are revolutionising healthcare clinical trials. Discover how simulated trials using sophisticated virtual patient modelsโcomplete with variations in age, body size, and disease progressionโare introducing groundbreaking innovations in patient care.
We delve into stochastic engineering models that cleverly integrate uncertainty into device design, offering more precise and realistic predictions of clinical outcomes. Learn about the power prior methodโa dynamic approach to combining digital and real-world evidence in clinical trials, enhancing efficiency and accelerating device delivery to patients whilst maintaining rigorous safety and accuracy standards.
Join us for an illuminating discussion at the cutting edge of healthcare innovation, where virtual modelling meets real-world patient impact.
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Haddad T, Himes A, Thompson L, Irony T, Nair R; MDIC Computer Modeling and Simulation Working Group Participants. Incorporation of stochastic engineering models as prior information in Bayesian medical device trials. J Biopharm Stat. 2017;27(6):1089-1103.ย

Monday Mar 31, 2025
How can we properly evaluate the true economic impact of AI in healthcare?
Monday Mar 31, 2025
Monday Mar 31, 2025
How are the CHEERS-AI guidelines transforming economic evaluations of healthcare AI? In our latest podcast episode, we delve into how the Consolidated Health Economic Evaluation Reporting Standards for AI (CHEERS-AI) are revolutionizing the economic assessment landscape for artificial intelligence in healthcare. Discover why transparency and consistency are crucial, and how this comprehensive framework helps determine the true financial value of AI innovations in the medical field.
This episode navigates the intricate challenges of healthcare AI integration, including uncovering hidden costs and addressing the "black box" problemโwhere understanding AI's decision-making processes remains difficult yet essential for proper evaluation and implementation.
Join our conversation as we explore the broader ethical considerations and societal impacts of healthcare AI, emphasizing the importance of responsible innovation. Whether you're a health economist, researcher, or simply interested in AI's transformative potential in healthcare, this episode offers valuable perspectives on balancing innovation with responsibility to ensure AI advancements benefit both patients and healthcare systems alike.
Elvidge J, Hawksworth C, Avลar TS, Zemplenyi A, Chalkidou A, Petrou S, Petykรณ Z, Srivastava D, Chandra G, Delaye J, Denniston A, Gomes M, Knies S, Nousios P, Siirtola P, Wang J, Dawoud D; CHEERS-AI Steering Group. Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligenceย (CHEERS-AI). Value Health. 2024 Sep;27(9):1196-1205.ย

Monday Mar 24, 2025
Revolutionising Healthcare: Inside the UK's MHRA Data Strategy
Monday Mar 24, 2025
Monday Mar 24, 2025
Will the MHRA's New Data Strategy Transform Healthcare Through Computational Innovation? In this episode, we explore the MHRA's groundbreaking data strategy for 2024-2027, a visionary plan heralding a fourth industrial revolution in healthcare. From supporting data-driven innovation to harnessing AI and real-world evidence, we dive deep into the strategic themes aimed at revolutionizing medical product development and regulation.
Learn how AI is set to change the game, enabling quicker development of treatments tailored to individual needs and monitoring safety like never before. We also address the challenges of data fragmentation, quality issues, and privacy concerns, while highlighting ambitious initiatives like the Centers of Excellence in Regulatory Science and Innovation.
Tune in to uncover how this strategy could position the UK as a leader in data-driven healthcare, inspiring global shifts towards personalized and equitable treatment for all.
Source: MHRA (2024) MHRA Data Strategy 2024 - 2024. www.gov.uk/government/publications/mhra-data-strategy-2024-2027

Monday Mar 17, 2025
Unleashing the Potential of Health Data: Insights from the Sudlow Review
Monday Mar 17, 2025
Monday Mar 17, 2025
What is the roadmap to transform how we use health data in the UK? This episode discusses the Sudlow Review and highlights the immense potential of linking health data, tackling accessibility challenges, and the importance of public trust. We discuss its five critical recommendations to make health data a national infrastructure, streamlining access, and ensuring ethical governance across the UK.
Whether you're a researcher, policy maker, or simply curious about the future of medical innovation, tune in to discover how harnessing health data can revolutionize patient care and healthcare research.
Source: Sudlow C (2024) Uniting Health Data in the UK Review. Health Data Research UK. https://www.hdruk.ac.uk/helping-with-health-data/the-sudlow-review

Monday Mar 10, 2025
Monday Mar 10, 2025
How is the UK positioning itself at the forefront of regulatory science innovation through strategic investments in centres of excellence? This episode explores the UK Government-funded Centres of Excellence in Regulatory Science and Innovation (CERSI) Initiative and its pivotal role in shaping the future regulatory landscape for AI and in silico technologies in healthcare. We examine two of the seven CERSIs funded by UK Government. Brunel University's critical work on building trust frameworks and ethical governance for AI applications, alongside the University of Manchester's groundbreaking advances in in silico clinical trials that promise to revolutionise drug development timelines and efficiency.
This podcast delves into the regulatory science challenges and opportunities presented by these emerging technologies, offering insights into how the UK CERSI strategy is creating new pathways for innovation while ensuring patient safety. From establishing robust validation methods for in silico trials to developing adaptive regulatory frameworks for AI, discover how these centres of excellence are addressing the complex intersection of technology, healthcare, and regulation. Join us for an essential conversation about the transformative potential of these initiatives and their implications for researchers, regulators, and healthcare systems worldwide.Source: Developing regulatory science to advance healthcare (2025) www.ukri.org/news/developing-regulatory-science-to-advance-healthcare

Monday Mar 10, 2025
Can NHS Secure Data Environments Unlock the Future of UK Life Sciences?
Monday Mar 10, 2025
Monday Mar 10, 2025
Could NHS Data Environments Revolutionise UK Life Sciences Innovation? This episode focuses on the incredible potential of NHS data in revolutionising medical product development and regulation. The Association of the British Pharmaceutical Industry (ABPI) report, published in February 2025, investigates how to improve the regional Secure Data Environment (SDE) network to better serve the life sciences industry's research needs.ย The report outlines findings from a consultation with ABPI, ABHI, and BIA members regarding their use of NHS health data.ย It highlights key industry requirements for the SDE network, including the need for federated data access, streamlined governance, and commercially competitive timeframes.ย The report also reveals concerns about insufficient industry involvement in the network's design and implementation.ย Ultimately, it provides recommendations to NHS England and other relevant bodies to align the SDE network's development with the demands of life sciences research, aiming to enhance the UK's attractiveness for R&D investment.
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Source: Association of British Pharmaceutical Industries (2025)ย The value of industry clinical trials to the UK. www.abpi.org.uk/publications/the-value-of-industry-clinical-trials-to-the-uk-extended-report

Monday Mar 03, 2025
Virtual You vs Cancer: How Digital Twins Are Revolutionizing Treatment
Monday Mar 03, 2025
Monday Mar 03, 2025
What if your doctor could test hundreds of cancer treatments on a virtual version of your tumour before giving you a single dose of medication? In this episode, we dive into the fascinating concept of digital twins, particularly their application in oncology.
Discover how digital twins, virtual replicas of tumours, are being used to simulate treatment scenarios and predict outcomes, offering unprecedented precision in cancer care. Learn about the intricate process of creating these digital twins, from capturing medical imaging data to developing complex mathematical models. With insights tailored to the individual, digital twins represent the future of personalized medicine, enabling clinicians to experiment with different therapies without any risk to real patients.
Explore the real-world impact of this technology, as digital twins assist doctors in treatment planning and help predict patient responses to various drugs. As we stand on the cusp of a revolution in cancer care, join us in unravelling the potential of digital twins to transform how we diagnose, treat, and manage cancer. Tune in for this deep dive into the groundbreaking world of InSilico trials and their real impact on patient care.Wu C, Lorenzo G, Hormuth DA 2nd, Lima EABF, Slavkova KP, DiCarlo JC, Virostko J, Phillips CM, Patt D, Chung C, Yankeelov TE. Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology. Biophys Rev. 2022 Jun;3(2):021304.

Monday Feb 24, 2025
Digital Footprints to Medical Breakthroughs: The Real-World Data Revolution
Monday Feb 24, 2025
Monday Feb 24, 2025
What if the future of healthcare innovation lies not in controlled trials, but in the digital footprints we leave every day? Real-world data from health records, wearables, and patient experiences revolutionises medical research. This episode explores the profound impact of real world data (RWD) in healthcare.
Discover how everyday data sources like Fitbits, electronic health records (EHRs), and insurance claims are reshaping the medical landscape. Learn about the nuances of real world data, from its messy nature to its invaluable insights for patient care.
Dive into the complexities of data standardization, the use of machine learning, and the challenges of privacy and bias. Explore how RWD is paving the way for personalized medicine and disease prevention, offering hope for rare disease research through global data pooling.
Join the conversation about the future of healthcare, privacy concerns, and the exciting potential of sharing patient-generated data. Tune in now and be part of the revolution where algorithms, data, and human insight converge to shape a healthier tomorrow.
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Liu F, Panagiotakos D. Real-world data: a brief review of the methods, applications, challenges and opportunities. BMC Med Res Methodol. 2022 Nov 5;22(1):287. doi: 10.1186/s12874-022-01768-6. Erratum in: BMC Med Res Methodol. 2023 May 2;23(1):109. doi: 10.1186/s12874-023-01937-1.
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Monday Feb 17, 2025
The Science Behind Making Virtual Trials Trustworthy: Ten Rules
Monday Feb 17, 2025
Monday Feb 17, 2025
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.
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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.ย
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.
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Monday Feb 10, 2025
STANDING Together: Equitable AI and In Silico Technologies in Healthcare
Monday Feb 10, 2025
Monday Feb 10, 2025
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 technologyโbe 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 paramountโa 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.
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Monday Feb 03, 2025
Can Computer Simulations Make Medical Products Safer?
Monday Feb 03, 2025
Monday Feb 03, 2025
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.
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Monday Jan 27, 2025
Cutting Costs, Boosting Results: The Tech Revolution in Clinical Trials
Monday Jan 27, 2025
Monday Jan 27, 2025
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.ย
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
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Monday Jan 20, 2025
Breaking New Ground: The Virtual Trial Transforming Knee Surgery
Monday Jan 20, 2025
Monday Jan 20, 2025
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, Serrancolรญ 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.
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Monday Jan 13, 2025
Standards as Innovation Catalysts: The PAGIT Framework
Monday Jan 13, 2025
Monday Jan 13, 2025
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.

Monday Jan 06, 2025
In Silico vs. Real Life: Can Computer Models Outperform Spine Surgery Tests?
Monday Jan 06, 2025
Monday Jan 06, 2025
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.
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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.

Monday Dec 30, 2024
Heartware: Programming the Perfect Heartbeat
Monday Dec 30, 2024
Monday Dec 30, 2024
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 outcomesโall 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.
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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.
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Sunday Dec 22, 2024
Digital Twins Revolutionizing Shoulder Implant Design
Sunday Dec 22, 2024
Sunday Dec 22, 2024
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 โ 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 โ 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!
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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
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Monday Dec 16, 2024
Enhancing UK Medicine Regulation
Monday Dec 16, 2024
Monday Dec 16, 2024
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/hlws306ย
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Monday Dec 16, 2024
How Regulatory-Ready is Model-Informed Drug Development?
Monday Dec 16, 2024
Monday Dec 16, 2024
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)โa 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.
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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.
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