Juan-Pablo Mas

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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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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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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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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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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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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AccurKardia is redefining ECGs as a more powerful diagnostic tool and broad biomarker, for various disease states including cardiac issues and overlapping conditions! #artificialintelligence J.P. Morgan American Heart Association Heart Rhythm Society #HRX2024 #epeeps #artificialintelligence American College of Cardiology MedTech Innovator LSI MedTech World MedTech Strategist MedTech Startup

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#Longevity Tech is on the rise ✌️ -Endeavor BioMedicines raised $135M at a $795M valuation in April 2024. -Humanaut Health secured an $8.7M Seed round, valued at $52M in May. -Superpower raised $4M, reaching a $24M valuation in May as well. These are just 3 of the 90+ #longevity startups highlighted in Dealroom.co's latest report (Link in the comments). In this newsletter, I dive into the Longevity Technology Market and the emerging trends shaping the future of health! 👉 https://lnkd.in/e3EZrAPH #Longevity #HealthTech #StartupFunding #Innovation

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One of my proudest moments as an investor occurred today as Alaffia Health announced its series A because it shows how the Aperture® Venture Capital vision of multi-level, multi-generational #impactinvesting is succeeding in the marketplace. Here’s the model in its most basic form : ✅As diverse fund managers with meaningful capital to allocate, we are changing the VC landscape every day just by doing our day jobs. ✅As Black/Brown investors with ~40 years experience collectively, Aperture GPs have access to talent /excellence that others do not, so our portfolio *organically* is more inclusive by race, gender and geography even while optimizing for financial outcomes (all about the alpha). ✅Our most successful portco’s are using financial #innovation to solve market problems that impact underrepresented demographics and underserved communities. Alaffia Health is a shining example of the impact portion of our overall fund thesis, and we couldn’t be prouder of TJ Ademiluyi and Adun Akanni, MPH, PMP - the dynamic brother-sister founder duo whose vision we have steadfastly supported on their journey. Congratulations to TJ and Adun from William Crowder and myself, as well as the whole Aperture team- Marjorie King Philip McKenzie Yves Louis-Jacques Tanvi Lal Michelle Dhansinghani Lisha Bell Katie Kelly Amy Chung Cindy Chong, CFA Brian Fernandes-Halloran Monroe France Jayden Pantel Darren Herman Evan Wladis Neal Triplett Thomas Scriven Peter Ammon Irina Bit-Babik Tim Milanich Rob Rahbari

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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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#hiring If anyone knows an awesome engineer that would be interested in joining an emerging #AI company doing important work in #healthcare, please drop me a line! Andy AI is backed by General Catalyst, YCombinator, Greater Ventures, and others, and they’re looking to hire a full stack engineer (US based) who's excited about using AI to improve healthcare and reduce nurse burnout. Andy is AI software that automates clinical documentation for nurses who do home visits. A nurse makes an audio recording of the visit and Andy automatically generates a form that usually takes nurses 90 minutes to complete. Nurses love the product because it potentially saves them 15 hours of charting a week! The founders previously built healthcare AI at Google Health and Apple, and are now building their vision to transform home health. More about Andy AI: https://with-andy.com/ Nurses love it: https://lnkd.in/g9XqZrUq #GenAI #digitalhealth #hiring #engineers #healthtech

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I’m optimistic about the potential of generative AI to reduce provider burnout and improve provider-patient interactions. However, that optimism is tempered by the data that indicates the technology is not quite ready yet. Bright Ventures is interested in digital health founders who understand the realities of provider-patient interactions, and the role technology can play in strengthening clinical outcomes. Which founders and teams are getting this right? Tag them in the comments below.

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Excited to share our latest Innovation Wave Podcast episode featuring Ana Maria Moreno, Founder and CEO of Navega Therapeutics! Dr. Moreno sat down with Bob McGriff and me and shared her vision for Navega Therapeutics - aiming to have the first next-generation, long-lasting single injection for chronic pain approved within five years. In this engaging conversation, we explored: • Dr. Moreno's journey from PhD student to biotech entrepreneur • Navega Therapeutics' innovative approach to chronic pain treatment using epigenetic gene therapy • The company's focus on non-opioid solutions for conditions like small fiber neuropathy and rheumatoid arthritis • How the San Diego biotech ecosystem has played a crucial role in Navega's growth and development. Key Takeaways: • The company is preparing for first-in-human clinical trials, with a $40 million Series A funding round in progress. • Dr. Moreno emphasizes the importance of business knowledge for scientists aspiring to become entrepreneurs. Congratulations to Dr. Moreno on her well-deserved Biocom California Catalyst award, and thank you for sharing your insights on innovation and entrepreneurship in the life sciences! https://lnkd.in/g5ieMmqY

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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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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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🌟 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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Boston is home to some of the world’s most groundbreaking health institutions and research hubs, driving innovation in medicine and healthcare for decades. Each of these organizations plays a crucial role in advancing health tech and shaping the future of medical science: Harvard Medical School – Leading the way in health sciences, Harvard Medical School is training the next generation of medical innovators through cutting-edge research. Massachusetts General Hospital (MGH) – Known for pioneering research and impactful clinical trials across various health tech areas, MGH continues to set standards in medical excellence. Brigham and Women's Hospital Women’s Hospital – Focused on translational medicine, BWH deeply engages in clinical research that bridges lab discoveries to patient care. Broad Institute of MIT and Harvard – This powerhouse in genomics and bioinformatics is advancing personalized medicine by conducting large-scale research in genetics and disease. Dana-Farber Cancer Institute – A global leader in cancer research, Dana-Farber is at the forefront of developing innovative oncology treatments that save lives. Boston Children's Hospital – Known for groundbreaking advancements in pediatric care, Boston Children's Hospital is a beacon of hope for young patients and their families. These institutions form the backbone of Boston's vibrant health tech ecosystem, collectively making strides toward a healthier, more innovative future. 🌐✨ #BostonHealthTech #InnovationEcosystem #MedicalResearch #PersonalizedMedicine #HealthcareInnovation #Innolytics

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TLDR - if you’re a early-stage investor, builder or health care provider that believes the below facts... we at Conduit Venture Labs have a stealth venture in the oven w/ Krisna Bhargava, PhD (let's connect). 🦠 Environmental factors are responsible for ~90% of chronic disease. https://lnkd.in/gSJPGXVs 🥺 Primary care does not have the time nor education to screen environmental exposure. https://lnkd.in/gJ5GtHMV 🚀 Functional/integrative care is growing at ~23% CAGR but is unaffordable to most people. https://lnkd.in/gWwuChYk

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It's been unique to go through medical training during the era of AI. Studying for board exams with language models, using AI literature search products to answer tough questions during rounds, and trying every agent-based patient simulator to strengthen diagnostic skills. There's a new physician stack forming around us thanks to AI. If you're interested in these topics and AI in medical education more broadly, please join me for the 10th Annual Conference, Precision Medicine 2024: Education in the AI Era at Harvard Medical School—a hybrid in-person/virtual event, on October 1st. Together with James Diao and Shivangi Goel, MD, MBA, we'll be talking about non-linear paths through medical training. Plus, you'll get to hear Dr. Isaac Kohane debate Dr. Pete Szolovits, on the topic of “Should GPT-4 Write my Thesis." Register here: https://lnkd.in/gSddDA63

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