Nic Meliones

Check out the latest from Limbic - their breakthrough study in Nature Portfolio, shows how Limbic turns frontier language models into behavioral health specialists. In their pre-registered, double-blind randomized trial they showed that: 1️⃣ Adding the Limbic Layer improves AI-led therapy performance by 43% 2️⃣ Clinicians preferred Limbic over general-purpose LLMs 83% of the time 3️⃣ 74% of Limbic's AI sessions ranked among the top 10% of therapists 4️⃣ Patients rate the Limbic experience as comparable to clinician-led sessions Amazing stuff from Ross Harper and Sebastiaan de Vries - delighted to have them in the Entrepreneurs First portfolio.

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NVIDIA Launched an AI Lab in Israel to Go After the Next Generation of Medicine The race to build medicine with AI has barely started, and the country that's been ready for it since the 1990s just got NVIDIA. https://lnkd.in/enKduThF

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Almost a decade ago, Olivia Levine and I were classmates at Duke. Today, we're talking about one of the most consequential and overlooked problems in healthcare: whether a patient can actually get through the front door. Assort started with a simple conviction. Healthcare should remember who you are, understand what you need, and help you reach the right care without making you repeat your story or spend 35 minutes on hold. We deliberately began with some of the hardest specialties, including orthopedics. Building for complex body parts, conditions, providers, insurance requirements, and scheduling rules forced us to develop systems capable of navigating the nuance of real healthcare. Today, our AI agents have supported more than 200 million patient interactions across 23 specialties. But we're still building toward the larger vision: a context layer that supports patients throughout the entire care journey. Thank you, Olivia, Itay Inbar, and the Greenfield Partners team for featuring Assort Health and for the thoughtful conversation.

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Systems first. AI next. The order matters, a lot. Over the past few weeks, Evan Allen and I have been digging into agentic workflows - reading papers, testing tools, and mapping patterns across different implementations. One insight keeps standing out. Agentic workflows aren’t inherently “AI.” They’re decomposition systems. The core idea is simple: take a complex task, break it into smaller, well-defined steps, execute those steps independently, then reassemble the output.  Who performs each step is secondary. 👉 Some steps are best handled by machines: speed, recall, pattern matching. 👉 Others still benefit from humans: judgment, accountability. 💡 Once you see it this way, the false binary between “automated” and "manual” disappears. For human-in-the-loop systems - like what we're building with Nexus - it shifts the goal from replacing people to assigning work to whoever (or whatever) does it best, step by step. AI becomes a delegate, not an endpoint. That also forces more discipline. You have to be explicit about what the task actually is, what good looks like, and where judgment truly matters. Sloppy workflows don’t magically improve when you add AI - they just fail faster. I suspect the most durable systems won’t be the most automated ones, but the most intentional about where humans stay in the loop. Where have you seen the balance work well, or break down?

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One of our latest companies DN Capital - directionally this is where agentic AI can help augment humans in the workplace rather than replace humans. Congratulations to our partner Guy Ward Thomas and the rest of the DN Capital AI investment team on this newest portfolio company. Nenad Marovac Thomas Rubens Ian Marsh Gülsah Wilke Raoul Oscar F. Jack Pierrepont Maddie Coughlin Celine Xiao

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In December, Sebastian Caliri and Finn Kennedy of 8VC wrote about how autonomous healthcare AI is "banned de facto or de jure in the United States." Some blockers included: state practice acts that don't recognize AI practitioners, FDA approval pathways not designed for autonomous systems, and no reimbursement mechanism to make innovation investable. It asked for CMS to create outcome-aligned payments through CMMI, for FDA to reform its approach, and for states to pass Medical AI Practice Acts. I've enjoyed reading this piece several times since publication. It's thoughtful, detailed, and directionally right. And a lot has happened in the two months since publication! CMS announced the ACCESS Model: outcome-aligned payments for technology-enabled chronic care management, starting July 2026. FDA launched TEMPO alongside ACCESS, providing regulatory flexibility for AI tools used within the model. ARPA-H announced ADVOCATE: a program to develop the first FDA-authorized clinical agentic AI that can autonomously manage cardiovascular disease, including writing and modifying prescriptions. The federal government is now actively funding autonomous AI care delivery. The AMA noted "it is time to explore modernized regulatory pathways". HHS Deputy Secretary Jim O'Neill cited Utah's AI prescription program as "a great step forward" and signaled that FDA and CMS are building frameworks to support broader adoption. Any one of these advancements would have been difficult to imagine 6 months ago. Credit to our leadership for pushing forward in ways that are smart, safe, and effective. The blockers identified are real, but policymakers, clinicians, and innovators are now working together to address them. Open collaboration is how we can modernize healthcare for all Americans. https://lnkd.in/eKRxvFei

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Announcing Beyond-AI’s Operating Architecture: Production Software + Innovation Labs. After years of building deterministic healthcare infrastructure on real data, we’re formalizing the structure that reflects where we actually are — and where we’re going. Beyond-AI now operates two distinct divisions. Beyond-HealthSystems (Software Division) Production-grade deterministic infrastructure for healthcare revenue cycle, compliance, and reimbursement intelligence. This is not experimental. This is not probabilistic. This is deployable, auditable software built on real EHR, 835/837 claims, denials, and remittance data. Production-ready today: Beyond-Truth™ A deterministic audit layer that exposes what’s actually happening inside claims, denials, and “PAID” remittances — revealing underpayments, abandoned denials, and hidden revenue leakage at claim- and line-level detail. Built for CFO, compliance, and board-level review. Beyond-Claims™ An autonomous recovery engine that deterministically fixes and resubmits recoverable claims — targeting dollars traditional RCM workflows structurally miss or abandon. Full audit trails. Reversible control. Zero workflow disruption. In controlled enterprise validation: Beyond-CarePath™ Outcomes-informed care pathway intelligence built from real EHR, claims, and payer outcome data. Surfaces procedures and medications with the strongest historical outcomes and payer-acceptance signals — without prescribing or replacing clinical judgment. Medical Necessity Intelligence (Beyond-Necessity™) Pre-service coverage-risk intelligence that flags documentation exposure upstream, predicts coverage likelihood, and reduces preventable denials before submission. Beyond-AI Labs (Innovation Division) An isolated R&D pipeline exploring next-generation applications of deterministic intelligence. This is where we incubate what comes next: • New vertical applications • Experimental frameworks • Proof-of-concept collaborations • Pre-productization research Labs exists to explore. HealthSystems exists to deploy. Why this structure matters Healthcare requires proof, security, and operational restraint — not promises. By separating production software from innovation research, we: • Deliver enterprise-grade systems without experimental risk • Maintain R&D velocity without undermining commercial credibility • Signal both revenue readiness and expansion capacity • Operate on different timelines — deploy today, build tomorrow Beyond-Truth™ and Beyond-Claims™ are available for controlled pilots today. If you want to see real outputs on your own data — not benchmarks, not promises — 📩 steven@beyond-ai.com  #HealthcareFinance #RevenueCycleManagement #RCM #Denials #HealthIT #CFO #COO #AuditableAI

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The Digital Health Hub Foundation - Digital Health Awards, together with partner StartUp Health and Fedcap, proudly launches a new gathering in New York City: Civic Health.   Founded in 1935 as the Federation of the Crippled and Disabled, Fedcap has spent nearly a century advancing opportunity and dignity for those too often left out of the system. Today, that spirit inspires a new conversation about the future of health.   Civic Health is built on a simple but urgent idea: healthcare must work for the 99%.   Around the world, breakthroughs in AI, diagnostics, digital health, and new care models are redefining what healthcare can be. Yet too often innovation reaches only a privileged few. Civic Health exists to spotlight the leaders, technologies, and systems working to change that—to make healthcare more accessible, more affordable, and ultimately better for everyone.   On June 16, innovators, health system leaders, technologists, entrepreneurs, and civic changemakers will gather at Civic Hall to explore how a new generation of tools and ideas can transform the health of communities at scale.   This is more than a conference. It is the beginning of a new civic health movement.   The goal is to establish an annual New York convening—bringing together the world’s most forward-thinking minds in healthcare each spring, when the city is alive with possibility and collaboration.   The Digital Health Hub Foundation is championing this effort because there is currently no global forum dedicated to putting civic health first—no stage where the conversation begins with health equity, community impact, and real-world access.   Civic Health aims to change that.   Because the future of healthcare will not be defined only by innovation. It will be defined by who that innovation reaches.   And the mission is clear: better health for everyone. The Digital Health Hub Foundation, together with partner StartUp Health and Fedcap, proudly launches a new gathering in New York City: Civic Health.   Founded in 1935 as the Federation of the Crippled and Disabled, Fedcap has spent nearly a century advancing opportunity and dignity for those too often left out of the system. Today, that spirit inspires a new conversation about the future of health.   Civic Health is built on a simple but urgent idea: healthcare must work for the 99%.   Around the world, breakthroughs in AI, diagnostics, digital health, and new care models are redefining what healthcare can be. Yet too often innovation reaches only a privileged few. Civic Health exists to spotlight the leaders, technologies, and systems working to change that—to make healthcare more accessible, more affordable, and ultimately better for everyone.   On June 16, innovators, health system leaders, technologists, entrepreneurs, and civic changemakers will gather at Civic Hall to explore how a new generation of tools and ideas can transform the health of communities at scale. https://lnkd.in/ggu4swzP

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We're excited to introduce the founders behind COOL LABS - a team pushing the frontier of AI research into real-world applications with a focus on agentic AI for participant engagement in clinical, consumer, and life sciences research.     The team includes:     • A PhD from UT Austin in AI and life sciences. Recipient of 2023 Meta PhD fellow • Best Paper Award winner at leading academic venues (ACM UbiComp and IEEE ICASSP) • Graduate researchers specializing in NLP, explainable AI, and language-vision systems • Builders who've shipped ML-driven citizen science games and scalable AI production systems • Dual degree holders in CS + Cognitive Science from top programs This powerhouse trio combines cutting-edge research credentials with proven execution skills to advance AI where it matters most.     Meet the founders 👇 Dawei Liang, Ph.D., Tongxin Gao, and Luke Lu!  🌐 www.coollabs.ai

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