Cancer Drugs Can Damage the Heart - This Startup Wants to Fix It with Ryan Neely - Full Transcript | The Med Device Cyber Podcast
Read the complete, searchable transcript of Episode 74 of The Med Device Cyber Podcast - expert conversations on medical device cybersecurity, FDA premarket and postmarket guidance, SBOM management, threat modeling, and penetration testing.
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Episode summary
In this episode of the Med Device Cyber podcast, host Christian Espinosa of Blue Goat Cyber welcomes Ryan Neely, the CEO and Co-founder of Skribe Medical, to discuss the multifaceted challenges of bringing a medical device from concept to commercial success. Ryan shares his extensive background, which began in neuroscience with a Ph.D. from UC Berkeley focusing on brain-computer interfaces and implantable neuroprosthetics. His journey through MedTech includes experience with wireless, ultrasound-powered implants at Iota Biosciences, work in oncology drug discovery, and development of wearable neurotechnology for sleep health. This diverse expertise culminated in the founding of Skribe Medical, a company aimed at revolutionizing heart monitoring for cancer patients. Skribe Medical addresses a critical issue known as cardiotoxicity, where certain effective cancer treatments, like anthracyclines, pose a high risk of damaging the heart. The current standard of care requires patients to undergo frequent, burdensome cardiac ultrasounds, which can lead to significant patient inconvenience and treatment delays for oncologists awaiting results. Ryan introduces Skribe's innovative solution: a small, wearable patch that uses a combination of sensors and an AI model to non-invasively measure Left Ventricular Ejection Fraction (LVEF), a key indicator of heart health. This technology enables oncologists to perform quick, in-clinic spot-checks, facilitating timely treatment decisions and improving the patient experience. The discussion also touches upon the business model, which involves a per-use fee and revenue sharing with clinics, creating a financial incentive for adoption, especially for independent practices that would otherwise refer patients out for imaging. A central argument of the episode is the distinction between regulatory approval and market success. Both speakers forcefully argue that FDA clearance, while a necessary milestone, is often mistakenly seen as the final goal. They describe it as just one gate, with the 'real dragon' being the challenge of commercialization. This includes ensuring the device seamlessly integrates into existing clinical workflows, appealing to payers through a clear reimbursement strategy, and proving its value to both physicians and patients. The conversation also explores the cybersecurity landscape, contrasting the relatively low-risk environment of home use with the high-stakes, 'hostile' nature of hospital networks. They emphasize that any device connected to a hospital network is an immediate target for adversaries, making robust security a paramount concern for patient safety and data integrity.
Key takeaways from this episode
- FDA clearance is not the finish line for a medical device; the true challenge lies in achieving commercial viability, which includes clinical workflow integration, reimbursement strategies, and market adoption.
- Skribe Medical is developing a wearable patch that uses AI to monitor cancer patients for heart damage (cardiotoxicity) caused by their treatments, aiming to replace burdensome and infrequent ultrasounds.
- From a cybersecurity perspective, a medical device connected to a hospital network is considered to be in a 'hostile environment' as these networks are constant targets for cyberattacks.
- The clinical environment, with its complex, high-stress workflows and numerous interconnected systems, often presents more significant design and security challenges than the home-use environment.
- Successful MedTech innovation requires a deep understanding of the end-to-end process, from clinical need and device development to the business model, payer landscape, and go-to-market strategy.
- Remote patient monitoring (RPM) and new value-based care models are changing the healthcare revenue landscape, creating opportunities for technologies that improve outcomes and efficiency outside of traditional fee-for-service appointments.
- The FDA is becoming more adaptable to new technologies like AI, with programs such as the Predetermined Change Control Program (PCCP) providing a framework for updating machine learning models post-clearance.