Bubba Murarka

🎙️ Thrilled to share that V. Tyrone Lam, COO of GATC Health, was recently featured on the Innovation Wave Podcast! In this insightful 20’ episode with Bob McGriff and me, Ty delves into how AI-driven predictive analytics can transform our approach to disease treatment, making it more proactive and less risky. He shared compelling insights on the future of healthcare and how predictive tools can lead to earlier interventions and better patient outcomes. A must-listen for anyone interested in the cutting-edge of medical technology and AI! 👉 Check out the episode to learn more about Tyrone's vision and GATC Health's pioneering work in this exciting field. Let's discuss how these innovations are reshaping the landscape of healthcare! #HealthTech #AI #PredictiveAnalytics #Innovation

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M13 is thrilled to lead the Series A in RadiantGraph which is focused on personalization in healthcare. As we continue to invest in early stage companies it is abundantly clear that the biggest indicator of success is the founder and his or her ability to execute on their vision of the future. In this case, I don't think I have seen much better founder-market fit than we have with founder and CEO Anmol Madan. We believe in his vision: in order to have the best patient outcomes in healthcare we need increased personalization and AI is the breakthrough to get us there. Anmol started one of the pioneering digital health companies Ginger and then was Chief Data Scientist at Livongo and Teledoc. He has done it all: early stage, late stage, public company. And he deeply understands the nuances of the healthcare market from all angles which is critical for success. While there are many players building healthcare-specific AI capabilities, RadiantGraph is focused on outcomes: The platform is already processing personalization models for more than 3.5 million people, despite launching just last year. Excited to partner with my friend Adam D'Augelli and the great True Ventures again and Morgan Blumberg who has been deep in the healthcare market with me for many years. More on our thesis in the blog below. https://lnkd.in/evDDmC3W

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The (Healthcare) Ground Beneath Our Feet… This year it is likely that over $10 billion will be invested in the digital health sector – a robust amount, no doubt, but inconsequential when compared to the amount of capital tied up in healthcare real estate assets, which is estimated to be $1.2 trillion by Jones Lang Lasalle. Of that amount, approximately $790 billion is in the hospital sector while the remaining $490 billion is in medical office assets. It is estimated that there are 48.6k facilities with 3.4 billion square feet of healthcare real estate, 42% of which are owned by REITs and another 33% held by other private investment vehicles. Much of the digital health investment is meant to make the physical healthcare infrastructure more productive: greater operating efficiencies, greater patient throughput, more relevant personalized care models with better outcomes. As the healthcare system is being pushed to be more distributed to lower cost sites of care, accelerated now by the rapid proliferation of automation and AI capabilities, the potential impact on healthcare infrastructure assets will be profound. Thoughts on what that might look like... https://lnkd.in/eTfAdUbS #digitalhealth Flare Capital Partners

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Hot off the pre-print server – an important publication authored by the Atropos Health team exploring the performance of LLMs in answering real-world clinical questions. LLMs excel at summarizing and contextualizing existing literature, but cannot generate de novo medical evidence today. The results of the study highlight performance gains attributable to injecting novel, relevant, and up-to-date medical evidence into LLM-powered clinical decision support systems. Brigham Hyde Nigam Shah Saurabh Gombar Read the study here: https://lnkd.in/ecuU25Pq

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AI and Med Tech in Focus   AI System Developed to Identify Pathology in Tissues Engineers at Washington State University have developed an AI tool that uses images of human and animal tissue to detect abnormalities faster and more accurately than people. The AI algorithm was trained using images from past studies that involved kidney, testes, ovarian, prostate, breast and lymph node abnormalities. The new model detected disease in minutes—current processes take humans several hours and require specialized teams to check each other’s work. It was also found to be more accurate, sometimes detecting instances that humans had missed. The engineers designed the system to handle the processing load of the high-resolution gigapixel images by breaking them down into smaller tiles but still retaining the overall context of the tissue sample—akin to the zoom feature on a microscope or phone camera. Aside from getting diagnostic results more accurately and quickly, the new system also shows promise in epigenetics (the study of molecular processes that change gene behavior without changing underlying DNA). Epigenetic researchers can perform analyses and get results that used to take a year or more in just a couple of weeks. VC Investors are always adjusting their "Play Book" with a variety of options for investing. Mikal Ventures is one of those alternatives, offering curated solutions to real world problems. Reach out if you have questions on how we can be of assistance and bookmark https://mikalventures.com/ for additional insights and information.

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Incredibly excited to share our updated Healthcare AI thesis. This is not a market map – in 4,000 words, we dive deeply into the research, products, business models, and market entry points that are reimagining healthcare with AI. More specifically, we cover: • Translating AI research into real-world products • Mapping modalities (software, copilots, agents, services, diagnostics, therapeutics) to problems in healthcare • Designing AI business models that unlock billion-dollar markets • Closing current gaps in healthcare AI infrastructure • Distinguishing AI platforms from point solutions Let us know what you think ⤵️

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Some VC investors believe that brick and mortar - referring to a physical presence of some kind - should be avoided at all costs. Yet, the track record of clinic and hybrid care businesses in health care indicates otherwise. ==> One Medical (sold for $3.9 billion to Amazon), Oak Street (bought by CVS for $10.6 billion), Lifestance (IPO at $7.5 billion market cap), and PE-backed Premise Health (acquired by OMERS Private Equity for $1.1 billion) If a clinic is indicated as the optimal way to deliver care for that patient population, there are creative ways to build and operate them. Full article below with advice and strategies on how to build and operate hybrid clinics from my teammate Anarghya Vardhana from Maveron, Amir Dan Rubin from OneMedical Group, Steven Eidelman from Modern Animal and more!

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What do bio and health applications mean for the next wave of AI -- specifically about compute? (I'm talking to you NVDA longs!) LifeX Ventures is hosting a super roundtable with some serious techbio leaders tomorrow along with Analog Century Management's Val Zlatev -- come hear Thomas Clozel Sean McClain Chetan Patel at 11am ET For the survey results based on asking 100 techbio CTOs and CEOs, join the call. Here, my own speculations after wrapping up the report: -- Amazon needs to have a GPU program on warp drive right now -- Nvidia needs to have a data center / cloud business in the works -- Edge AI chips are about to be everywhere -- in your watch, car, sneakers, thermostats, gene sequencers, spectroscopes -- All this compute needs way more data: expect a boom in sensors of all types -- Remember human genome moonshot that sequenced one person once? Now you can sequence your every cell one by one. Expect that for protein folding (AlphaFold was that moonshot) and other simulation uses, a full "twin" model of you, cell by cell -- Google has no angle here -- worse chips, worse cloud, worse models, worse phones / edge devices -- Specialty silicon for unique use-cases, lower-power, lower-memory are surely coming fast - like back in the day for mobile phones when Qualcomm, Broadcomm, Infineon, Mediatek, etc duked it out.

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It was wonderful to be in conversation with Madison Mills of Yahoo Finance at their annual Invest conference earlier this week. We covered everything from the venture outlook for 2025, impact of elections on women's health investing and innovation, and more. Full clip and summary below 👇 https://lnkd.in/gS67sc2Y

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Anne Wojcicki, CEO of 23andMe, has announced plans to take the genetic testing company private. This strategic move aims to provide more flexibility in navigating regulatory challenges and to accelerate growth opportunities. The decision follows a trend of health tech companies seeking private ownership to focus on long-term objectives. Wojcicki highlighted the importance of this shift to maintain the company's commitment to innovation and customer-centric services. Taking 23andMe private reflects a bold step towards enhancing its position in the rapidly evolving genomics industry. Read more about this exciting development here: https://lnkd.in/gdrC3a64 #genomics #IPO #privatisation #23andMe

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"Digital health is no longer the future; it is the present, reshaping our healthcare landscape in real-time." Excited to be part of the UCSF Digital Health Hub Foundation's Quarterfinalist Party! As a past board member, I'm honored to celebrate the outstanding quarterfinalists. As we reflect on the state of digital health in 2024, it's evident that the COVID-19 pandemic has fundamentally transformed healthcare delivery. The rapid adoption of telemedicine during the crisis has become a permanent fixture, with over 60% of physicians continuing to utilize this technology. The sprint towards smarter healthcare, catalyzed by necessity, has shattered preconceptions about digital-first health experiences. Virtual care is no longer a stopgap but an integral part of a seamless, anytime, anywhere health ecosystem. 🌍 We're witnessing the rise of B2B2C models in remote consultations, with companies like Teladoc Health and Amwell partnering with insurance providers to integrate their services into health plans. Public sector collaborations, like eConsult Health 's partnership with the NHS in the #UK, underscore the potential for remote consultations to enhance efficiency and accessibility at a national level. The digital health landscape is evolving rapidly, with advancements in remote consultations, mental health support, at-home diagnostics, and patient monitoring. AI and generative AI transform care delivery, making it more efficient, personalized, and patient-centric. 🤖 Yet, challenges remain. While venture capital funding for digital health has stabilized after the pandemic boom, it remains below its 2021 peak. Sectors like digital therapeutics face reimbursement hurdles, and we've seen major players like Walmart and Optum close telehealth businesses. Looking ahead, we anticipate further consolidation in digital health, driven by acquisitions to create broader ecosystems encompass telemedicine, mental health, and other specialized services. As healthcare leaders, we must leverage these digital advancements to improve access, enhance patient outcomes, and drive efficiency in our healthcare systems. The future of healthcare is digital, and the time to embrace this transformation is now. Congratulations to all the finalists! 🎉 Looking forward to the grand finale at #HLTH2024 in #LasVegas! 🙌 By the way, the pink drink that we were holding was delicious—and nonalcoholic! The Digital Health Hub Foundation - Digital Health Awards #HealthcareInnovation #DigitalHealth #UCSFHealthHub #Networking #HealthTech #Entrepreneurship #LasVegasFinale Walter Greenleaf, PhD Daniel Kraft, MD Unity Stoakes StartUp Health University of California, San Francisco UCSF Innovation Ventures American Association for Precision Medicine (AAPM) WISE World Investors & Entrepreneurs Society #AAPMhealth #aapm_health

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Presenting at the Senate as part of the Coalition for Health AI (CHAI) "Day on the Hill" wasn't on my 2024 bingo card, but I'm feeling energized by the bipartisan discussions on healthcare AI. The numbers tell a compelling story: while nearly 2,000 healthcare AI startups have received funding over the last two decades, only 1 in 20 provider-facing companies reach late-stage maturity. Beyond natural market dynamics, two critical barriers are holding back AI's full potential in healthcare: unsustainable payment models and inadequate evaluation infrastructure – only 5% of research studies on LLMs in medicine utilize real patient care data, and studies advancing our understanding of performance beyond medical licensing exam benchmarks remain anemic at best. At CHAI, we're advocating for essential foundations: • Rigorous technical model performance evaluations • Comprehensive bias assessments across diverse patient populations • Thorough pre-deployment simulations and prospective studies • Robust ongoing local monitoring The path forward demands strong reporting infrastructure, advanced healthcare AI benchmarks, and meaningful public-private partnerships to drive real-world AI deployment in healthcare. Stay tuned for CHAI's upcoming initiatives in 2025 as we expand our engagements with the startup and investment ecosystem. https://lnkd.in/enw-GQcA

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🌟 7 Crucial Elements for Scaling Startups to Successful Exits 🌟 Reflecting on my recent experience at the OPEN Silicon Valley Forum in Santa Clara, some of us engaged in a deep discussion on what repeatedly drives startups from inception to successful exits. Our collective experience pointed to these seven essential elements: 1️⃣ Timing is Everything: Ensure the market and technology are ready for your solution. Being too early or too late can hinder success. 2️⃣ Align with Your "Why": Success requires internal motivation. Knowing your “why” keeps you resilient and purpose-driven. 3️⃣ Master the Problem, Not Just the Product: Deep understanding of the problem is far more critical than focusing solely on a product or idea. 4️⃣ Define Culture from the Start: The first five hires set the tone. Invest in "A" players who embody the culture you envision. 5️⃣ Obsess Over User Experience: A relentless focus on user experience can make or break your product’s adoption. 6️⃣ Build for Scale from Day One: Architecting for growth is not optional—it’s essential for long-term success. 7️⃣ Map Out Your Go-to-Market Strategy Early: Before building, have a clear thesis on how to generate revenue and achieve product-market fit. These principles are tried and true across multiple industries. If you’re launching a startup or scaling a business, how do these resonate with your experience? What would you add to the list? #startups #entrepreneurship #growth #scaling #productmarketfit #OPENsiliconvalley #innovation #founders Tashfeen Suleman Amer Haider Umair Khan Junaid Qurashi Wardah Inam

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Healthcare is highly suited for AI automation, with many opportunities to improve accessibility, affordability, and outcomes. AI can drive efficiencies across various functions, though it will inevitably reduce the need for some human roles. #higherorder #ai #automation #healthcare #healthtech

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Generally surprised to not see more hardware vendors in healthcare and life sciences partnering with AI-first companies. When the zone of genius of a company is hardware, it's difficult to imagine that same team achieving parity on an AI product – Apple may be the greatest example of success in this realm, and still has secured many AI capabilities via targeted M&A (Siri, Turi, Xnor.ai, Voysis, Inductiv). Given the importance of leveraged distribution models in the ossified industries of healthcare and life sciences, it seems there is untapped opportunity for more hardware manufacturers to partner and co-develop AI products with startups. Control over the way data is captured and processed is critical for building high quality training data sets, which creates an interesting feedback loop between hardware companies and potential AI-first startup partners. Interested to explore this further with folks in healthcare and life sciences hardware!

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At the annual Decoding Bio summit, I sat down with Brad Loncar of BiotechTV to discuss how we at Bessemer Venture Partners are thinking about where value accrues for AI in biotech. The short answer: Ultimate value accrues at the therapeutic level. Longer answer: If AI improves drug discovery along any axis (speed, efficiency, cost, new biology, novel chemistry), and becomes a near-ubiquitous tool in the discovery process, value will accrue up the stack. Vertical integration of discovery and development will be essential to capture this value, and the greatest moats will (still) be built in clinical development – trial design, biomarker identification, indication selection, and raw execution.

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Looking beyond #VC funding for your #startup? Aakash Shah of Wyndly (YC W21) reveals how he built a multi-million dollar #healthtech company using creative capital strategies. Learn how he leveraged Y Combinator's network and alternative funding methods to revolutionize allergy treatment. In case you missed it, you can watch the #FundraisingDemystified #podcast here: https://lnkd.in/eZT63YS4

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Video is a key aspect of an AI-first healthcare ecosystem. There will be a post-AI world soon where the way we interact with technology will fundamentally change. The healthcare ecosystem will evolve to becoming more invisible and assistive, allowing clinicians and patients to interact with each other in a more empathetic way. And technology becomes a true enabler. This will require democratizing access to AI to the healthcare world. And few companies do that as well as Zoom does. We are excited about our strategic partnership with the Zoom team and excited to bring AI features like clinical documentation to the 40% of US healthcare (and global!) that uses Zoom as its Telehealth solution. - Suki Assistant for Epic, Oracle Cerner, Meditech, and Athena systems - Suki Platform for EHRs who want to embed the power of AI inside them - Suki Platform that works with clinical communication companies, medical devices, And now Telehealth Onwards. Let's keep doing this! https://lnkd.in/dWjPwKwJ

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Insightful look into bioplatform strategy, and what it takes to raise a Series A from my partner, Omri Amirav-Drory: https://lnkd.in/dFv7GbF6

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