Francis deSouza

Thanks to Erica Maissy for writing the latest series in our technology blog spotlights ~~ 🔬 Hormone Intelligence: A New Frontier for Personalized Health. Erica's writing explores the rapidly evolving world of hormone monitoring technology, a space that’s making major strides but also facing critical questions. From fertility tracking to stress management and beyond, innovators are pushing the boundaries of how we understand our bodies. 🚀 The shift from static, in-clinic hormone tests to continuous, at-home monitoring has opened doors to real-time insights — but it’s not without challenges. Accuracy, regulatory validation, and affordability remain key hurdles. For instance, while continuous glucose monitors (CGMs) transformed diabetes management, continuous hormone monitoring is far more complex due to slower hormone fluctuations and biological variability. 💡 We highlight a range of approaches — from micro-needle patches and sweat-based sensors to non-invasive temperature-based fertility tracking. Yet even the most promising solutions must prove their reliability against the gold standard of lab-based blood tests. As the global endocrine testing market is projected to reach $12.19B by 2030, we’re watching to see which technologies rise to the challenge. Link in the comments! #healthtech #hormones #personalizedmedicine

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What kind of mindset does it take to go from building data systems at Palantir, to leading engineering at Komodo Health, to becoming CEO of Particle Health – and suing one of healthcare’s largest incumbents? Jason Prestinario is a First Builder through and through. As CEO of Particle Health, his mission is to fix patient data interoperability, so your primary care doctor, specialist, and surgeon can all make decisions using the same complete health record. What a concept, right? And yet, it’s far from reality. That’s why Jason and the team at Particle are now suing Epic, one of the industry’s largest incumbents, to push for real change. We talked about how he approaches challenges of this scale, and what keeps him grounded in the process. We sat down with Jason to talk about this and much more. Hope you'll enjoy this spicy and insightful episode! Link in comments 🌶️ 👇

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At CRV, we’ve been fortunate to partner with some of the most visionary founders reshaping the future of cybersecurity over the past five decades. From cloud-native data protection to developer-first security and AI-driven detection, our portfolio reflects the breadth and depth of innovation happening in the industry today. Companies like Cyera, Cribl, Astrix Security, Tailscale, and Vega (among many others) are tackling the hardest problems facing CISOs and developers — from securing non-human identities, to modernizing log pipelines, to making zero-trust networking effortless. What’s exciting is not just the individual companies, but the ecosystem effect: each is building in complementary areas, and together they’re advancing how enterprises secure data, infrastructure, and applications in an AI-powered world. Cybersecurity has never been more mission-critical, and the next decade will see even greater disruption as AI, automation, and new architectures redefine what’s possible. We’re proud to support founders leading that charge.🚀 If you’re building in cyber, we’d love to connect!

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Clinicians want to use AI but don’t have the bandwidth to evaluate all the different models. Meet Health Olymp, an AI tool purpose-built for clinicians. Here’s why this matters 👇 1. Health and life science experts gain instant access to frontier models for free. No procurement hoops or IT bottlenecks. Every clinician gets their own sandbox to explore. 2. Clinicians can compare models side by side and pick the one that works best for their use case. That transparency builds trust and sparks ideas for novel AI applications in care delivery, diagnostics, and research. 3. Most AI benchmarks are too generic or disconnected from clinical reality. Health Olymp brings frontline feedback into the loop, helping the industry identify models that perform reliably in real world clinical environments. Congrats to Ruslan Nazarenko and the Lumos team as they put AI model benchmarking directly into the hands of healthcare professionals. ⬇️ (link in comments)

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Distribution is becoming the moat in healthcare AI Anthropic’s recent Claude for Healthcare update was a good example: the main features were not focused on model performance, it was connectivity, making Claude usable inside the healthcare enterprise stack. The main drops were: -> Coverage rules (CMS Coverage Database connector): check whether a treatment is reimbursable and under what conditions -> Coding (ICD-10 connector): translate clinical language into billing/diagnosis codes -> Provider verification (NPI Registry connector): validate provider identity for credentialing and claims -> Prior Authorization Agent: assemble documentation and rationale for approvals/appeals -> Interoperability tooling: make it easier to plug into health IT systems This shift creates real opportunity for founders. Healthcare is fragmented by country, system, and workflow, so teams that can embed applications deeply in specific workflows can build meaningful markets, even from narrow starting points. Source: https://lnkd.in/dFEi8UDP

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