MEDA Ventures

Congressional staffers are signaling bipartisan momentum on AI governance, which could have profound implications for healthcare AI startups and the investment community. Healthcare stands at the forefront of AI-driven transformation—from diagnostics and drug discovery to image interpretation and operational efficiencies. However, regulation will be a critical determinant of the pace and direction of this innovation. Key takeaways for healthcare AI stakeholders: ✅ Regulatory clarity can unlock growth by reducing uncertainty for startups navigating FDA approvals and compliance. ✅ Focus on ethical use aligns with healthcare’s mission but demands robust data privacy and bias mitigation strategies. ✅ Bipartisan action may help balance innovation with safety, fostering trust among patients, providers, and investors. As healthcare AI evolves, the ability to navigate this shifting regulatory landscape will be a competitive advantage. This presents both opportunities and risks. Will clear policies accelerate AI adoption or create barriers to entry? How are you factoring potential AI regulations into your investment strategies? Elizabeth Cho-Fertikh Tomas J. Philipson, Ph.D Carolyn Campbell Laura Beken #artificialintelligence #AI #digitalhealth #healthtech #congress https://lnkd.in/eZcmp6ig

Keeping up with macroeconomics with Tomas J. Philipson, Managing Partner at MEDA Ventures, on CNBC's Squawkbox!

Is telehealth at a crossroads? CMS recently released its 2025 Medicare Physician Fee Schedule, which introduces modest updates to digital health policies, including new codes for FDA-cleared digital mental health therapeutics. CMS made audio-only telehealth services permanent but declined broader changes, such as alternative payment methods for telehealth in rural clinics, citing its limited regulatory authority. Many telehealth flexibilities created at the beginning of the pandemic will expire by the end of 2024 unless Congress intervenes, highlighting the need for legislative action to sustain expanded telehealth access. https://lnkd.in/e8cgp9HA #telehealth #telemedicine #digitalhealth #medicarepolicy #cms

The economy came out as the most important driver of the US election

Google Cloud recently launched its Vertex AI Search for Healthcare platform, which builds on and integrates with its prior healthcare LLM offerings (MedLM and Gemini Flash) to ease clinical administrative burden. Its capabilities will streamline providers’ interaction with the EHR, summarizing patient histories and collating relevant diagnostic data at a glance. Early adopters have attributed up time savings of up to 7 minutes per patient to Vertex AI, which furthermore features a decreased hallucination rate compared to legacy models. Read more about Vertex AI Search here: https://lnkd.in/gEwYWYdB #generativeai #healthtech #artificialintelligence #googlecloud Elizabeth Cho-Fertikh Tomas J. Philipson, Ph.D Carolyn Campbell Min Lang Tai Mai Laura Beken

Alongside 10 of the most active US angel investor groups, we are super pleased to have an early look at startups supported by #PlugandPlayTechCenter, one of the largest innovation centers, present in 50+ locations globally.

Behind every placard is a story. At tonight's Major League Baseball (MLB) #WorldSeries game presented by Capital One, we stood united in the fight against cancer. 🧡 Thank you to everyone who participated in this special #StandUpToCancer moment on the field, in the stadium, or at home. Help keep the momentum going by donating to support cancer research that's focused on saving lives now at https://lnkd.in/gayeAkN2.

Elizabeth Cho-Fertikh, PhD Tomas J. Philipson, Ph.D Carolyn Campbell Min Lang Tai Mai Laura Beken

Is Digital Pathology the next frontier of health tech? NYU Langone may be the first major healthcare system to fully digitize its pathology data. Partnering with Philips Healthcare in a $115 million deal, it will leverage AI technology and interoperable platforms to convert cellular and tissue-level studies into high-quality images. These can be readily transferrable across clinical facilities, embed into the medical record, sidestep the issues of loss and deterioration (a constant risk with physical samples), and power AI-enabled solutions within the system. Find more about NYU Langone’s digital pathology program at the link below: https://lnkd.in/eRmrR4mx #pathology #digitalhealth #artificialintelligence #nyulangone Elizabeth Cho-Fertikh, PhD Tomas J. Philipson, Ph.D Carolyn Campbell Min Lang Tai Mai Laura Beken

Bessemer Venture Partners recently released its “Roadmap” for healthcare AI, identifying the key drivers, pitfalls, and opportunities facing the nascent industry, alongside the firm’s general investment thesis. The report draws particular attention to multimodal AI tools - namely those synthesizing healthcare data from text, numerical, and imaging sources – as a powerhouse of future growth given the robustness of their input data and myriad downstream applications. It additionally identifies 20 verticals bearing > $1 billion TAM as priority investment targets, such as AI-enabled clinical trial development, revenue cycle management, evidence generation, and regulatory automation, among others. You can find the full report here: https://lnkd.in/gyetmccN #ai #digitalhealth #venturecapital #generativeai Elizabeth Cho-Fertikh, PhD Tomas J. Philipson, Ph.D Carolyn Campbell Min Lang Tai Mai Laura Beken