Angie Wang

San Francisco is the only tech hub with growing startup formation. Politicians want to kill it🚨 Garry Tan on the data: SF has +24% company formation growth. Every other city is declining. But city hall is doing everything it can to drive companies out: ▪️ 800% gross receipts tax hike proposed ▪️ Lab bans threatening biotech and AI startups This is the only VC hub in America still growing, and local politicians are trying to destroy what makes it special. The irony: SF's comeback is real, and the biggest threat isn't competition from other cities. It's self-inflicted. Do you think SF stays the AI capital or does policy push startups elsewhere?

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9,000 healthcare workers will lose their familiar AI tool in 2026. UCSF chose OpenAI over their own creation. The reasons reveal everything. UCSF just announced they're replacing their in-house AI platform Versa Chat with ChatGPT Enterprise. This isn't a small move. It affects 9,000 users across one of America's top medical centers. Why abandon your own technology? The answer shows where healthcare AI is heading: • Enhanced HIPAA compliance support • Access to GPT-5 technology • Enterprise-grade security safeguards • Broader functionality across clinical operations UCSF built Versa Chat for secure AI access. But even they recognized when to pivot. Sometimes the best solution isn't the one you created. The migration starts early 2026. UCSF's 40,000+ community members will gain access to cutting-edge AI while maintaining patient privacy. This shift signals a broader trend. Healthcare organizations are choosing proven enterprise solutions over custom builds. The focus has moved from building AI tools to implementing them effectively. For healthcare innovation, this could accelerate AI adoption across research, education, and patient care. What matters most? Getting the right tools to healthcare workers quickly and safely. How do you think this will impact AI adoption in your healthcare organization? #HealthcareAI #OpenAI #DigitalHealth 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/dSUD8XdG Karaka Sai chandra sekhar, Rupa Sri Borra

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One of our projects from the last hackathon - simpler Durable Medical Equipment ordering and tracking from Jamie Gong Natasha Najdovski Yu-Chen Chen Kailin Xu MSc and Henry Chan (Btw if you want to join our next hackathon, sign ups close monday!! https://lnkd.in/eAhvQ8Ci) -- Inspired by a frustrating patient experience (ask Natasha about her dad's journey with diabetic insoles), our team examined the DME supplier workflow. Fulfilling a DME order is a multi-step process that often requires aggregating documentation from multiple providers to satisfy nuanced insurance requirements. To ease the coordination burden at the heart of DME fulfillment, we built DMEasy, an AI-powered workflow management system for DME suppliers. Once a prescription is received by a supplier, DMEasy automatically determines the tasks and documentation required to fulfill it based on the patient's payment method/insurance. It then uses multi-modal AI agents to coordinate the completion of these tasks, aggregating all required documents from the appropriate parties. The platform includes both a supplier dashboard for managing orders and a patient tracker (think Domino's pizza tracker for medical equipment) for visibility into where their order stands in the process. Built using Replit for the UI, ElevenLabs for automated voice calls to providers, and Keragon workflows for certain orchestration tasks.

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