Are we really close to catching pancreatic cancer early?

This silent killer still kills 75% within the first year of diagnosis. But what if we could spot clues before it becomes deadly?

Transforming Pancreatic Cancer Detection with Amplified SciencesIn this episode, Bradley Bostic hosts Diana Caldwell, CEO and co-founder of Amplified Sciences, to explore groundbreaking advancements in early detection of pancreatic cancer. Given the devastating prognosis of late-stage diagnosis, their discussion highlights how innovative diagnostics can shift the paradigm towards earlier, less invasive screening—saving lives and improving outcomes.Main insights:

• The dire statistics of pancreatic cancer survival rates highlight an urgent need for better screening.
• Amplified Sciences has developed a multi-omics approach that detects precancerous cysts, much like colon polyps, allowing preemptive intervention.
• The current standard, often reactive, diagnosis leads to late-stage detection; the new method aims to identify risks before symptoms appear.
• They discuss the importance of high negative predictive value (NPV) to rule out malignancy non-invasively.
• The platform uses minimal cyst fluid — only 10 times less than existing tests — crucial for small lesions.
• The approach combines various biomarkers (proteomic, enzymatic, genetic) to improve accuracy.
• Blood-based screening for early detection remains challenging, but amplification of fluid samples offers more precise insights.
• Regulatory milestones, like CAP accreditation, position Amplified Sciences for wider clinical adoption.
• Payer and coverage discussions are ongoing but vital for making this technology accessible.
• The episode emphasizes how technological innovation, multidisciplinary collaboration, and early detection can revolutionize pancreatic cancer care.

Timestamps: 00:11 - Introduction and personal story highlighting the importance of early cancer detection 01:08 - Diana Caldwell's background and motivation to improve gastroenterology diagnostics 04:38 - The science behind Amplified Sciences' diagnostic platform and research origins 07:27 - Current challenges in pancreatic cancer diagnosis and the limitations of standard tests 09:18 - Understanding the brutal statistics and silent progression of pancreatic cancer 10:12 - How genetic factors and incidental screening can identify high-risk individuals 12:41 - The patient journey: from incidental detection to invasive procedures and unmet needs 14:15 - The role of the PANSIS Pro test, regulatory milestones, and sample requirements 16:03 - Differentiating between benign cysts and pre-malignant lesions like IPMN 17:24 - The significance of multi-omic diagnostics and reducing unnecessary surgeries 21:18 - Screening strategies: incidentally detected lesions and the importance of size and location 24:04 - Limitations of current biomarkers like CA 19-9 and the promise of multi-marker panels 26:02 - The unique approach of liquid-focused diagnostics versus traditional blood tests 29:18 - Reimbursement hurdles and the importance of demonstrating clinical utility 32:13 - The mental health impact of uncertain diagnoses and proactive testing benefits 33:55 - The vision for a future where early detection becomes routine and standard careResources & Links:

Resources & Links: Amplified Sciences Official Website: https://amplifiedsciences.com/

Connect with Diana Caldwell on LinkedIn: https://www.linkedin.com/in/dianathompsoncaldwell/

This episode underscores the power of innovative diagnostics to intercept pancreatic cancer early, transforming a deadly prognosis into manageable health outcomes. It highlights the collaborative effort needed across research, regulation, and healthcare platforms to ensure these breakthroughs reach patients.

This episode dives into the story of Health Gorilla and its founder, Bob Watson, revealing how innovative approaches are tackling one of healthcare's most persistent problems: data interoperability. With decades of experience, Bob shares strategic insights and the evolving landscape that is shaping the future of healthcare information exchange.In this episode:

• Bob Watson's background at Cerner and lessons from early interoperability efforts
• The evolution of data blocking strategies and shifting industry tactics
• How TEFCA's implementation is creating new momentum for healthcare data sharing
• The core value propositions behind Health Gorilla's platform
• The importance of high-quality, AI-ready healthcare data
• Challenges and opportunities in integrating medical images into electronic sharing
• How legacy systems are connected through Health Gorilla's architecture
• The role of government regulation and penalties in driving compliance
• The vision for a future where healthcare data is seamless, actionable, and patient-centric

Timestamps:00:00 - Introduction to Bob Watson and the origins of Health Gorilla 00:08 - Bob's experience at Cerner and pioneering early health IT initiatives 00:32 - Building the Connected Community and lessons from early EHR adoption 00:58 - Data blocking strategies in the 90s and their impact on interoperability 01:44 - Bob's transition to turnaround leadership and lessons from multiple engagements 02:15 - The importance of the right team and strategic focus for tech companies 02:28 - Narrowing down core customer profiles and target markets 02:43 - Focus on Epic, Cerner, and e-clinical work as key interoperable systems 03:07 - Value-based care and the role of data in Medicare Advantage programs 03:26 - Developing private lab networks and new use cases under TEFCA 03:52 - How TEFCA's implementation increases data exchange traffic 04:21 - Facilitating patient data access and reciprocity in information sharing 04:48 - Industry impact of data blocking lawsuits and regulatory changes 05:13 - The federal push for interoperability akin to the HITECH Act 05:39 - Penalties and non-compliance consequences as enforcement tools 06:01 - Delivering high-quality, actionable data for AI and clinical decision-making 06:23 - Personal story: navigating healthcare data transfer challenges as a patient 06:45 - The future of incentivizing interoperability through economic measures 07:07 - Infrastructure at the endpoints vs. legacy system dependencies 07:25 - Delivering consumable, easy-to-interpret data for busy clinicians 07:53 - Reducing care gaps through comprehensive, uniform health records 08:18 - The importance of high-certainty data for AI training and predictive care 09:02 - How Health Gorilla's curated, accurate data supports advanced AI applications 09:41 - Bob's return from retired life to address relentless interoperability challenges 10:26 - The evolving role of images and challenges in flowing medical imaging data 11:11 - Vendor issues and technical constraints in transmitting medical images 11:27 - The goal to improve data quality and flow from legacy systems like Meditech 11:51 - Connecting all legacy networks for comprehensive data sharing 12:05 - The potential for Health Gorilla to be a significant player in healthcare interoperability 12:29 - The importance of government support—sticks and carrots—in fostering industry change 12:42 - Closing thoughts: the future of seamless, actionable healthcare data

Insights from Eric Strafel of Molecular Testing LabsDiscover how industry veterans are reshaping healthcare through innovative diagnostics, integrating systems thinking, and leveraging AI. In this episode, Eric Strafel discusses the intersection of aerospace principles with healthcare, the future of home testing, and the power of diagnostics as the healthcare data engine.

• Transition from aerospace innovation to healthcare diagnostics and systems thinking
• The balance between structured processes and innovation in lab operations
• How program management practices from defense are transforming healthcare workflows
• The role of diagnostics in unlocking personalized, data-driven care
• Impact and evolution of home testing post-pandemic
• Bridging consumer health and traditional care with digital health tools
• AI's role in automating workflows and enhancing patient engagement
• The future of diagnostics as the foundational infrastructure of healthcare
• Leadership strategies for agility, innovation, and scaling in healthcare labs
• The importance of early diagnostic engagement for healthy aging

00:00 - Introduction to Eric Strafel and his transition from aerospace to healthcare diagnostics 02:24 - The importance of systems thinking and process robustness from aerospace in healthcare 03:17 - Impact of program management practices in healthcare labs 04:37 - The role of diagnostics in addressing barriers to testing and care engagement 05:24 - The evolution and future of home testing post-pandemic 07:15 - The integration of consumer-centered health and traditional care through digital tools 07:35 - How AI automates lab workflows and improves capacity 09:06 - The vision of diagnostics as the data engine powering personalized healthcare 10:24 - The critical role of diagnostics in the future of healthcare data ecosystems 11:13 - The importance of early diagnostics for healthy aging 12:11 - Leaders' focus on innovation, agility, and scaling in the diagnostic industry

• Molecular Testing Labs
• Eric Strafel LinkedIn

Colorectal cancer is rising fast, especially among younger populations, and one of the biggest problems is not treatment. It is missed screening.

Recorded live at ViVE in the Diagnostic Zone, Eliad sits down with Jay Sidgreaves of New Day Diagnostics to talk about ColoHealth, an FDA-approved blood-based colorectal cancer screening test designed to help close one of the most urgent gaps in healthcare: getting more people screened before it is too late.

Jay explains why FDA approval matters, why accessibility matters even more, and how diagnostics is moving toward a future where consumers play a much more active role in their care. This conversation also gets into where healthcare is headed next, from blood-based testing and digital platforms to AI-enabled patient education and a more consumer-driven diagnostic experience.

This is not just a conversation about one test. It is a conversation about where diagnostics, prevention, and patient behavior are heading next.

• Why colorectal cancer screening remains a major gap in healthcare
• Why blood-based testing could improve access and participation
• What FDA approval signals to patients, providers, and markets
• How consumer-driven diagnostics are changing healthcare
• Why digital health and AI will reshape the patient experience

Transforming Healthcare Access with Simple Health Kit and Mark Cuban Partnership

Discover how Dr. Sheena Menezes and Simple Health Kit are revolutionizing healthcare through community-centered platforms, innovative lab kits, and a strategic partnership with Mark Cuban's Cosplus Pharmacy.

This episode details the vision for equitable access and the integration of technology in healthcare. In this episode:

• The foundation and mission of Simple Health Kit in providing accessible healthcare
• How the platform partners with enterprises to engage underserved populations
• The significance of Mark Cuban's Cosplus Pharmacy partnership and its impact on medication affordability
• The origin story of Sheena Menezes: from Kuwait refugee to healthcare innovator
• The role of digital and physical channels in delivering health kits and lab testing
• Vision for the future: bringing high-quality, personalized healthcare to rural and underserved areas
• The importance of primary care access, especially in rural health settings
• The influence of technology, including AI and community-focused models, in preventive care

Timestamps:

00:00 - Welcome and overview of Simple Health Kit's mission

00:36 - How Simple Health Kit puts individuals at the center of care

01:43 - Major announcement: partnership with Mark Cuban's Cosplus Pharmacy

02:08 - Benefits of the partnership for medication access and affordability

02:53 - Sheena Menezes' inspiring origin story

03:21 - The drive to bring care to those who need it most

03:53 - The growth and scale of Simple Health Kit over seven years

04:16 - How patients can access Simple Health Kit products via health plans, stores, and online

04:45 - Physical in-store health kits and direct-to-consumer options

05:04 - The range of lab testing available: diabetes, kidney, cancer, STI

05:24 - Strategic channels: payers, providers, and pharmacies

05:28 - Vision for universal healthcare access in the next decade

06:03 - Focus on high-level, concierge care in underserved areas

06:32 - Exciting future developments and Mark Cuban connection

Resources & Links: https://www.simplehealthkit.com/

Connect with Dr. Sheena Menezes: / sheenamenezes

Show Notes What if the most valuable data in healthcare has been sitting in plain sight the entire time, buried inside millions of clinical notes no one can actually use?

Live from ViVE, Marcus Gordon sits down with Dr. Tim O'Connell, co-founder and CEO of Emtelligent and a practicing radiologist, for a conversation about one of the biggest blind spots in modern healthcare: unstructured data.

Dr. O'Connell breaks down why health systems are overflowing with information yet still starving for actionable insight, and why unlocking clinical notes at scale could change everything from patient care to cost control to real-world evidence.

This episode gets into the real tension behind AI in healthcare. The technology is moving fast, but the stakes are too high for blind automation. Diagnoses, claims, treatment decisions, and chart review cannot become black-box exercises. Dr. O'Connell makes the case for clinician-led AI, where humans stay firmly in control and technology does what it does best: surface critical information faster, more accurately, and at scale.

The conversation also explores why radiology has long been seen as a digital pioneer, why AI adoption in clinical workflows may actually be moving faster than in imaging, and what it will take for health systems, payers, and life sciences companies to responsibly share data in ways that improve care without compromising trust.

This is a conversation about where healthcare is actually headed, not in theory, but in practice.

In this episode:

• Why an estimated 80% of healthcare data lives in unstructured clinical notes

• The real reason health systems are data rich but insight poor

• Why human-in-the-loop AI is non-negotiable in healthcare

• How AI-assisted chart review can reduce friction for clinicians

• Why radiology may not be the AI leader people assume it is

• What better data sharing could mean for cost, quality, and real-world evidence

• Why the future of healthcare depends on turning documentation into decisions

Healthcare has talked about AI for years. What feels different now is that the conversation is finally moving toward practical use cases.

In this episode of Boombostic Health, Marcus Gordon sits down with Dr. Luke Hansen of Arcadia at HIMSS to discuss where AI is beginning to create real value in healthcare. They explore how AI can help expand access, support care teams, surface more meaningful patient context, and identify rising risk earlier.

This conversation goes beyond the usual hype. Dr. Hansen explains the difference between tools that improve efficiency, like summarization and documentation support, and the more meaningful long-term shift toward predictive and agentic capabilities that could reshape care delivery.

For healthcare leaders, operators, and innovators trying to separate real operational value from noise, this is a thoughtful conversation worth watching.

In this episode:

• Why healthcare AI is becoming more practical
• How AI can help expand access to care
• The shift from summarization to predictive and agentic tools
• Why trust and safeguards matter more than hype
• What healthcare leaders should watch as adoption evolves

Boombostic Health — Live from ViVE 2026

Healthcare doesn't have a clinical excellence problem.

It has an operations problem.

In this episode of Boombostic Health, Bradley Bostic sits down with Dr. David Atashroo of Qventus to unpack the hidden layer of healthcare that determines whether care actually works: care operations.

The United States leads the world in clinical innovation, yet patients still experience delays, canceled procedures, repeated paperwork, and fragmented care.

Why?

Because the real breakdown in healthcare happens outside the exam room — in scheduling, care coordination, surgical preparation, discharge planning, and the countless operational tasks that surround clinical care.

Dr. Atashroo explains how AI is beginning to transform that operational layer by proactively identifying care gaps, coordinating workflows across the care continuum, and ensuring patients get the right care at the right time.

Instead of adding more dashboards or tools, AI can become the system that orchestrates care itself.

If healthcare is going to improve outcomes, reduce costs, and restore clinician capacity, the next frontier isn't better clinical tools.

It's fixing the operations of healthcare.

• Why healthcare's biggest failures are operational, not clinical • How AI can coordinate care across the entire patient journey • Why value-based care struggles to execute in real health systems • How AI can proactively close care gaps and identify risk • The future of AI as the operating layer of healthcare

"If you can make the right thing to do the easy thing to do, you advance value-based care."

Recorded live at ViVE 2026 in Los Angeles, Bradley Bostic sits down with Dave Newman (Digital Health) and Brad Reimer (CIO) from Sanford Health to explore how one of the nation's largest rural health systems is redefining care delivery.

Serving 2 million patients across 320,000 square miles, Sanford Health is proving that innovation doesn't only happen in major urban health systems. From virtual care infrastructure funded by a $350M investment to AI tools that restore the human connection between doctors and patients, Sanford is building a new model for rural healthcare.

The conversation explores how virtual care, AI, and data governance are helping clinicians spend more time with patients while expanding access across the Upper Midwest.

A key insight: technology works best when it returns healthcare to what matters most — the relationship between doctor and patient.

Recorded live at ViVE, Marcus Gordon guest hosts for Bradley Bostic and talks with Amy Gleason about where healthcare AI is actually headed—and what has to be true for it to work.

We've been "empowering patients" for a long time in theory. AI is the first thing that's made it feel real at scale. But Amy makes a key point: if AI doesn't have the right data under it, it's basically just a faster version of "Dr. Google."

This episode gets into interoperability, why standards still matter, what privacy and consent should look like in plain English, and how patients could use AI to navigate care anytime—like a Saturday night when you're not sure if something is urgent.

Amy also shares a personal story about her daughter using AI to review old records, spot a misclassification, and reopen a path into a clinical trial. It's a great reminder: the future isn't just chatbots. It's access + context + trust.

• Why AI is finally making patient empowerment real
• The "Dr. Google" problem (and how to get past it)
• Why interoperability is the foundation for personalized AI
• Why standards like FHIR still matter
• What "clear consent" should look like for patients
• How AI can surface insights buried in years of medical history
• What healthcare could look like when patients can get help anytime