The Royal Institution · Video summary
From the Lab: How mathematics is powering medical innovation – Ri Science Podcast with Becky Shipley
Mathematics and engineering are powering medical innovation through rapid prototyping, modeling blood flow, and scaling solutions during crises like COVID-19.
Watch on YouTube ↗Key takeaways
- 🎯Applying mathematical models to understand blood flow and disease structures enables targeted therapeutic interventions.08:45
- 📈Mathematical descriptions of blood networks help predict drug and oxygen transport, improving disease understanding.08:55
- 🔧Use mathematical modeling to simulate and optimize blood flow and drug delivery in diseased tissues.09:00
- 🔍Combining imaging data with mathematical tools uncovers how structural changes affect tissue function.09:16
- 💡Using existing devices as a base for rapid reverse engineering accelerates deployment in emergency situations.12:42
- 🌟Leverage existing technologies for swift innovation in crisis response and urgent healthcare needs.13:00
Chapters
- 0:33🎧 Introduction to the podcast and collaboration with UCL
- 1:42🧮 Becky Shipley's background and transition from mathematics to healthcare engineering
- 6:36🌳 Research examples: kidney vasculature and diabetic retinopathy
- 7:06🔬 Applying mathematics to biological and medical problems
- 7:51🩸 Understanding blood flow in small vessels and disease implications
- 9:42🛠️ The ACL Ventura ventilator project during the COVID pandemic
- 14:51🚑 Challenges of training staff and resource limitations
- 17:02⏱️ Rapid development and scaling of ventilator prototypes
- 18:30🎯 Lessons learned and future insights
The digest
Mathematics is increasingly pivotal in revolutionizing healthcare through engineering and computational modeling. This briefing explores Professor Becky Shipley’s journey from pure mathematics to applied healthcare engineering at University College London (UCL), showcasing how mathematical frameworks underpin advancements in understanding complex biological systems and designing life-saving medical devices. The insights are crucial for professionals interested in interdisciplinary approaches integrating math, engineering, and medicine for innovation and practical impact.
From Pure Mathematics to Healthcare Engineering
Becky Shipley began her academic path studying mathematics at Oxford without a fixed career plan, driven by passion rather than a predetermined field. Her undergraduate studies gradually introduced her to applied mathematics, particularly its applications in physiology and biology—fields she hadn’t engaged with previously due to early academic choices.
The turning point came when she discovered how mathematics could describe natural phenomena such as blood flow and biological processes, bridging physics, chemistry, and biology. This approach allowed her to develop models that not only deepen biological understanding but also inform medical interventions.
Her PhD work focused on modeling blood flow in very small blood vessels (capillaries), particularly related to cancer, laying the groundwork for her later research. Motivated by impactful real-world problem-solving, she transitioned from a mathematics department to engineering at UCL in 2012—a multidisciplinary environment with robust clinical collaborations—allowing her to apply mathematical concepts directly to healthcare challenges.
Keep reading in The Digest
The full 5-minute article, 10 more sections, and every new episode from The Royal Institution and the creators you follow.
- Dual Focus: Large-Scale Data and Local Physiological Innovations
- Mathematical Modeling of Microvascular Blood Flow and Drug Delivery
- From Mathematical Models to Real-World Medical Devices: The ACL Ventura Project
- Key aspects of the project:
- Engineering strategy:
- Outcomes:
- Lessons:
- Key Frameworks and Models
- Practical Implications and Takeaways
- Action-Oriented Summary
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