Join us for an eye-opening exploration of how virtual patient data is revolutionising paediatric clinical trials. In our upcoming episode, we delve into groundbreaking research that addresses one of healthcare's most pressing challenges: the power crisis plaguing paediatric randomised controlled trials.

Discover how digital twins, synthetic patient data, and in silico trials are offering unprecedented solutions to reduce children's exposure to unproven therapies whilst accelerating drug approvals. We'll examine the transformative potential of these technologies in creating personalised treatment options at significantly lower costs, ultimately leading to faster clinical implementation of life-saving interventions.

However, innovation comes with responsibility. Our discussion critically evaluates the ethical and regulatory frameworks necessary to ensure safe, sustainable adoption of virtual patient data in paediatric medicine.

Join our interactive webinar to engage directly with experts and explore how these digital innovations are shaping the future of children's healthcare.

Source: Pammi M, Shah PS, Yang LK, Hagan J, Aghaeepour N, Neu J. Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials? Lancet Digit Health. 2025

This episode explores groundbreaking research from Boston Children's Hospital and Harvard Medical School that demonstrates how multiphysiologic state computational fluid dynamics (CFD) modelling is transforming surgical planning for children with complex congenital heart conditions.

We delve into the innovative 3D virtual surgery workflow developed for patients with single ventricle physiology and interrupted inferior vena cava - a particularly challenging combination that historically carries high risks of life-threatening complications. The research team's approach utilises advanced CFD analysis across multiple physiological states to predict and optimise hepatic venous flow distribution, preventing the formation of pulmonary arteriovenous malformations that can prove fatal in these vulnerable young patients.

The episode examines how this in silico methodology successfully translates virtual surgical planning into real-world clinical outcomes, validated through post-operative MRI imaging. We discuss the broader implications for personalised paediatric medicine, the potential for reducing surgical revisions, and how computational modelling is enabling surgeons to achieve balanced blood flow patterns that were previously difficult to predict using traditional planning methods.

This case study exemplifies the transformative potential of digital health technologies in paediatric care, showcasing how sophisticated computational tools can directly improve surgical outcomes and quality of life for children with complex cardiac conditions.

Source: Hoganson DM, Govindarajan V, Schulz NE, Eickhoff ER, Breitbart RE, Marx GR, Del Nido PJ, Hammer PE. Multiphysiologic State Computational Fluid Dynamics Modeling for Planning Fontan With Interrupted Inferior Vena Cava. JACC Adv. 2024 Jun 13;3(7):101057.

Are you prepared for the seismic shift transforming UK life sciences careers? This latest "In Silico Trials, Real Impacts!" episode reveals how AI and in silico technologies are creating unprecedented employment opportunities across health tech sectors.

Discover the essential skills driving this revolution, from computational biology to digital therapeutics, and why lifelong learning has become non-negotiable. We examine the geographical spread of emerging roles and explore how international talent maintains Britain's competitive advantage in global markets.

What does this transformation mean for traditional biologists, chemists, and clinicians as digital tools reshape their practice? How are government initiatives preparing the next generation for these evolving demands?

Uncover the real-world implications for patient care and economic growth in this data-driven analysis of our industry's future.

Sources: Lightcast (2024), The UK Skills Revolution: Building a Data-Driven Skills System in an Era of Disruption https://lightcast.io/resources/research/uk-skills-revolution-25 Lightcast, ABHI, ABPI, and BIA (2025) Life Sciences 2035: Developing the Skills for Future Growth https://www.abpi.org.uk/publications/life-sciences-2035-developing-the-skills-for-future-growth-main-report/