Gary King

The University of Massachusetts Amherst's bold investment in VAST Data to support the Unity cluster revolutionizes collaborative research and #MachineLearning across multiple institutions. "What we can do differently now that we have VAST, is obviously we can support more users doing more things at once. I mean, that's the whole point." - Josiah Erikson, Associate Director of #HighPerformanceComputing Watch the full success story to learn how VAST and UMass are expanding horizons in research computing together.

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Excited to announce Frist Cressey Ventures' investment in Qualified Health and privileged to partner w/ SignalFire, Healthier Capital, Town Hall Ventures and others!   Healthcare costs are increasing at a faster rate than ever before, with the US spending nearly twice as other wealthy countries and still ranking bottom in outcomes. It's a story you've all heard - - US healthcare is known for astronomical inefficiencies, waste, workforce supply constraints, fragmented access, appalling patient experiences, and driving patients and businesses into debt.   Yes these problems present opportunities. But opportunities are limited to the system's appetite for change, desire and incentive to try something new and the innovation available. At FCV we believe we've hit the trifecta with Generative AI. Generative AI has given us truly transformational tools in the toolkit and the healthcare ecosystem is demanding to absorb its benefits. This perfect collision of supply and demand means healthcare is poised for big change.   Generative AI is everywhere, it's buzzy, it dangles hope and opportunity. But many things need to be true for the Gen AI transformation in healthcare to take hold, such as but not limited to:   💡 Patient lives and data need to remain safe: We believe in a highly regulated and human life-touching sector such as healthcare we must ensure Gen AI can drive to unrivalled savings and improvements in the quality of care WHILE not putting patient lives or data at risk.   💡 Systems need to own their utilization of Gen AI: We believe systems will use some hybrid of external partners and homegrown solutions but importantly will want full control of data provisioning and utilization as well as the ability to solve an unlimited number of nuanced issues and not cookie cutter algorithms.   💡 Costs need to be looked at on an enterprise level: We believe the speed of innovation in Gen AI means costs will continue decreasing dramatically but at an enterprise level this will still not be a small detail. Systems will want the ability to understand costs and delegate as needed for the outcomes desired at the organizational level.   Enter Qualified.   We knew when we met Justin Norden, MD, MBA, MPhil and team we were standing in front of changemakers. These individuals have lived and breathed the true application and implementation of Generative AI far before we were asking ChatGPT to write our emails. In fact, if you’ve ever driven in a Waymo you’ve benefited from past products this team has built.   Qualified Health is on a mission to enforce governance in Gen AI, allow systems to rapidly build for their needs, monitor and make decisions for all GenAI (homegrown and external) and accelerate the value the sector can glean from these new technologies.   Huge shout out to William T., Tommaso Auerbach and Jamie Kuntz for their hard work!

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This is just incredible. Neal Ghosh's demonstration of how #VentureIQ takes deeply technical and complicated content across a range of industrial use cases and ages/stages through an AI-generated conversational podcast (a la #notebookLM) is really mind-blowing. Check out his post, below, and if you haven't seen VentureIQ, yet, let's get you set up to learn more. You can visit VentureIQ.ai or DM any of us over here to book a demo!

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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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I'm so excited to continue supporting Prolific Machines, Inc., and the incredible Deniz Kent, PhD ,Max Huisman, and Declan Jones. Today's cellular biology processes are incredibly expensive, inefficient, imprecise, and sometimes purely ineffective. These processes are used from everything from making antibodies to treat diseases, to fermentation used to make high-value nutritional proteins in baby formula, to whole cuts of cultured meat. Prolific has developed a biology platform that leverages light to guide cell behavior and optimize performance over time using AI. By combining light, bioengineering, hardware, and AI in fundamentally new ways, Prolific can help pharmaceutical, nutritional, and therapeutics companies get to market faster, less expensively, and more efficiently — ultimately in hopes of helping improve outcomes — a mission any of us can get behind. Mark Cuban Peter T. Frederick Blackford Cooper Rinzler David Adelman Darco Capital Breakthrough Energy Michael Schulson Kevin Love Tobias Harris Breyer Capital Charles Besser Brennan Besser Lettuce Entertain You Restaurants https://lnkd.in/ea2TqdQk

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Wonderful article about Emily Knight and the whole The Engine Accelerator team on the amazing work their doing changing the world with #ToughTech!

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Excited for DCVC portfolio co Alta Resource Technologies to emerge from stealth! The design space of biology is many orders of magnitude larger than inorganic chemistry, and Alta uses it to massively reduce the cost of extracting rare earth metals. https://lnkd.in/g_q5UwRF

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Lexington Books managed to release my book Disagreeing despite the Data before the election. It argues the belief segregation underway in the US may be irreversible. Today's battles over climate change, disease mitigation, and election results run deep -- they're cognitive, not just strategic. Here's the gist of it. 20th-century revolutions in the philosophy of mind, meaning, and matter uncover three surprising requirements for widespread factual agreement. Critical thinking and community building have the potential to reverse two of them -- the growing refusal to test assumptions and individual isolation. Factual agreement between groups is impossible without the third one, though -- shared projects or other meaningful interaction. And a large part of American society has insulated itself from the rest. Without shared projects, communities gradually lose the ability to tell whether they agree or not regardless of the words they use. Belief segregation with similar roots has led several developing countries to the brink of failure. We'd better watch out. The attached flyer gives a discount code that makes the book -- priced in this initial run for academic libraries -- a little more affordable. Please feel free to forward it and, if you're connected to any libraries or book stores, pass it on!

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I couldn't agree less with this article. In my view, AI will change the world as much as, if not more than the internet did...which is a lot. '60s computer scientist Roy Amara said it best: “we overestimate the impact of technology in the short-term and underestimate the effect in the long run.” Both Altman and the author are falling victim to this blind spot, but to me, it seems far more dangerous to underestimate the impact and get blindsided by the change than it is to be slightly overzealous on estimating the rate of change. #AI #ArtificialIntelligence #Technology #Innovation #cdntech [Read more](https://lnkd.in/gJWwyFZR)

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Shout out to Clark Valberg at Tiferes Ventures for sharing this article in his weekly AI briefing. "When clinicians are analyzing brain or tumor scans, instead of only looking at one patient’s image, they can now compare it simultaneously with those from millions of other patients...The cancer types that will derive the most benefit from AI assistance are those dealing with imaging data or high-dimensional data" https://lnkd.in/ec8UTJCn

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Great insights shared by Dr. Christopher Haley at Startup Genome on the vital connection between a region's assets and the appropriate accelerator stage. This article underscores how aligning these elements leads to remarkable outcomes in ecosystem development. A great read for all of my friends in ecosystem development. From my personal experience I'll add that misalignment, however, can have long-lasting effects. When startup programs or organizations backed by private or public funds falter, the recovery period for regions can extend from 3 to 8 years. This delay significantly impacts founders seeking mentorship, knowledge, and funding opportunities. #EcosystemDevelopment #StartupGenome #AcceleratorPrograms #FounderSupport

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I’m excited to share my recent conversation with Joel Beasley | Modern CTO on the Modern CTO Podcast. We discussed my pivot from clinical medicine to the founding of Northpond Ventures, focusing on practical lessons from career transitions and the real-world impact of biotechnology innovations. Here are some of the highlights:  1. How I managed to reshape my career around personal strengths and market needs 2. The importance of support systems in overcoming professional challenges 3. How venture capital can drive scientific innovation into marketable solutions 4. An overview of Northpond Ventures’ strategy in fostering partnerships with leading academic institutions You can listen to the full episode here: https://lnkd.in/eGDzY98h #Biotechnology #Tech #Leadership #CareerChange #VentureCapital #Entrepreneurship

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2025 has arrived, and in #HigherEducation, it calls for decision makers who are willing to experiment and turn mistakes into stepping stones, says Babson Provost and Executive Vice President Ariel Carlos Armony in a Poets&Quants roundup of how institutions have readied for the new year.    Read more of Armony’s thought leadership: https://lnkd.in/eDEpbxvd #2025Trends

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🎙️ 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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Check out this great review article on the use of #AI and #digitaltwin on #arrhythmia management!

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Nearly 30% of the funding poured into healthcare startups last year went to companies leveraging artificial intelligence, according to... #venturecapital #veteranventures

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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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