If May was about AI becoming real, June was about what happens next.

Every week brought another conversation about technologies that are changing how healthcare is delivered—and another reminder that innovation only succeeds when clinical, regulatory, and commercial strategies evolve alongside it.

Across four episodes of TTKU, Allison Komiyama and Michael Nilo explored how emerging technologies—from brain stimulation and digital health to generative AI and large language models—are reshaping the medical device landscape. Along the way, they welcomed experts from neuroscience, clinical research, digital health, and regulatory affairs to discuss what it actually takes to bring these technologies from concept to commercialization.

The conversations covered breakthrough devices, evolving FDA policy, clinical trial strategy, reimbursement planning, and the growing challenge of generating evidence for technologies that seem to evolve faster than regulation itself.

As always, there were terrible dad jokes, regulatory rabbit holes, and enough FDA news to make everyone wonder how anyone manages to keep up.

Watch June Episodes

Episode Highlights

Innovation is moving faster than ever, and FDA is evolving with it.

June’s biggest theme was the rapid pace of innovation.

The team discussed technologies that would have sounded futuristic only a few years ago:

  • Non-invasive brain stimulation for PTSD and depression

  • AI-enabled neurological diagnostics

  • Patient-facing large language models

  • Sensor-based digital health technologies

  • Augmented and virtual reality medical devices

  • Over-the-counter continuous glucose monitors for children

Rather than asking whether these technologies belong in healthcare, the conversations focused on the harder questions:

  • How should they be evaluated?

  • How much evidence is enough?

  • How can FDA encourage innovation without compromising patient safety?

Building evidence has never been more important.

Emerging technologies require emerging evidence strategies.

Throughout June, guests emphasized that companies need to think beyond regulatory submission requirements and build development programs that support long-term success.

Recurring topics included:

  • Clinical trial design

  • Site and enrollment challenges

  • Human factors

  • Real-world evidence

  • Breakthrough Devices

  • Reimbursement planning

  • Market access

One message came through repeatedly: Evidence generation isn't just about getting to FDA clearance—it's about creating the data needed to support adoption, reimbursement, and better patient outcomes.

Former FDA perspectives continue to shape the conversation.

One of TTKU's greatest strengths is bringing together people who have seen medical device regulation from both sides.

June's guests included former FDA reviewers and leaders who shared practical insights into:

  • How reviewers approach complex technologies

  • Why some submissions succeed while others struggle

  • Where sponsors can reduce unnecessary risk

  • How policy changes affect day-to-day review

Those conversations helped translate evolving FDA priorities into practical advice companies can actually use.

AI conversations are becoming more nuanced.

Artificial intelligence wasn't a new topic for TTKU, but June showed how quickly the conversation is maturing.

Rather than focusing on AI broadly, the discussions explored:

  • Generative AI

  • Large language models (LLMs) in patient care

  • Predetermined Change Control Plans (PCCPs)

  • AI lifecycle management

  • Cybersecurity

  • Data integrity

  • Software updates after market authorization

The recurring takeaway was that companies need thoughtful regulatory strategies that evolve alongside increasingly capable technologies.

Healthcare innovation still begins and ends with patients.

Even while discussing complex technologies, every episode returned to the same question: How does this improve patient care?

Whether talking about brain stimulation for PTSD, new approaches to depression treatment, clinical trial execution, pediatric continuous glucose monitors, or home healthcare technologies, the focus remained on improving access, reducing burden, and creating meaningful outcomes for patients.

Technology may drive innovation, but patients remain the reason for it.

Why It Matters

Medical device innovation isn’t slowing down. AI is becoming more capable. Digital health continues expanding. Neuroscience is entering an exciting new era. Regulators, sponsors, clinicians, and patients are all learning alongside one another.

The organizations that succeed won’t simply be the fastest to adopt new technology. They’ll be the ones that:

  • Build evidence early.

  • Think beyond regulatory approval.

  • Integrate regulatory, clinical, and reimbursement strategy.

  • Stay adaptable as guidance evolves.

  • Never lose sight of the patient.

That’s exactly what TTKU is designed to help the MedTech community do every week.

June’s Jokes

  • What do you call a hen staring at a pile of lettuce? → Chicken sees a salad.

  • Someone built an ATM that only hands out coins. → I can’t believe someone didn’t think of this before. It just makes cents.

  • What continues to work even after it’s fired? → A neuron.

  • What do you call a fish with no eyes? → A fsh.

  • What did the farmer call the cow that had no milk? → An udder failure.

  • Why do Norwegian boats have barcodes on them? → So they can scan da navy in.

  • What do you get from a pampered cow? → Spoiled milk.

  • What kind of hot dogs wear sweaters? → Chili dogs.

  • Why didn’t the bicycle go to the shop? → It was two tired.

  • What’s the best present you can give? → A broken drum, because no one can beat that.

  • Why don’t lobsters ever share? → They’re so shellfish.

Links

If you want to dig deeper, here’s what came up in June episodes:

FDA Updates & Guidance

New Approvals

Trying to keep up with regulatory & clinical changes?

More ways to subscribe: YouTube | Spotify | Apple Podcasts


Next
Next

Trying to Keep Up in May