🚨 Deadline Extended to 26 June 2026! 🚨 Missed the original deadline? You still have time. Backed by global private markets firm EQT, the EQT Impact Challenge Hong Kong 2026 has extended applications for early-stage deeptech startups building in Climate & Nature and Health & Well-being. Successful applicants can access: 🏆 HK$4M direct investment from the EQT Foundation 🌍 Access to EQT's global network of 600+ industrial advisors and 300+ leading companies 📣 Media exposure through South China Morning Post New deadline: 26 June 2026 Apply now and take your startup to the next level: #EQTImpactChallenge# #DeepTech# #ClimateTech# #HealthTech# #Startups# #Innovation# #HongKong#

🔍 You notice "red dots on your legs" — but could you search for "palpable purpura"? Google studied how far AI can help people actually understand skin conditions, with 2,345 participants. Title: Research into how AI can help users understand skin conditions URL: 💡 Overview More than half of adults search online for health info and one in three turn to AI. Google Research looked not at AI's diagnostic accuracy itself, but at how much AI actually helps laypeople make better decisions, across two user studies. 🩺 Challenges Solved People can spot "red dots" but rarely know to search "palpable purpura." Being able to access information is not the same as understanding it and choosing the right next step. This work tackles exactly that gap. 🧪 Methodology Using real de-identified cases with images and medical histories, 2,345 participants were randomized into three arms: a control using normal web search, an AI arm showing 3-7 image-backed predicted conditions, and a Wizard of Oz arm where the candidates were dermatologist-verified ground truth. A community study with 110 local participants tested a 4-language app in the real world. 📊 Experimental Results Condition-naming accuracy nearly tripled, 23% for AI versus 8% for control. In the community study, naming ability rose 260% and clinicians rated the app helpful 92% of the time. But accuracy on "see a doctor or self-care?" barely improved, and AI users tended to underestimate urgency. Identifying a condition is not the same as acting on it correctly. #AI# #HealthTech#

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"More data = better life" was a lie we sold ourselves. When was the last time you checked your WHOOP, saw a red recovery score and felt like YOU failed? Not your body. But YOU! That's not health tech. It's a $30/month anxiety subscription from their oversimplification of data. WHOOP's Recovery Score = You HRV + Resting Heart Rate + Sleep + Respiratory rate — and turn them into one traffic light. Green, yellow, red. No psychology. No emotions. No life context. What the wearable industry is missing: → Meaning of data is the moat, not raw data. → Anxiety is not engagement but churn with delay. We don't have a sensor problem. We have a meaning problem. It's time to build the missing piece.

🩺 For health questions, accuracy and safety matter most. On hard self-harm and suicide conversations, GPT-5 cut undesired answers by 52% versus GPT-4o. 📰 Title: Improving health intelligence in ChatGPT 🔗 URL: 💡 Overview OpenAI shared its work on improving ChatGPT's health intelligence. It frames GPT-5 as its best model yet for health questions, with a big jump on HealthBench, a benchmark scored against physician-defined criteria. 🔍 Challenges Solved In health, mistakes directly affect user safety. Plausible-but-wrong answers (hallucinations) and missed urgent situations are serious risks, so accuracy, clarity, and appropriate encouragement to seek clinical care are essential. 🛠 Methodology & Proposed Approach ・Evaluated on HealthBench, scoring responses against realistic scenarios and physician-defined criteria ・HealthBench Consensus has hard cases validated by 2+ physicians ・Built a Global Physician Network of ~300 physicians and psychologists who practiced in 60 countries to inform safety research ・Advisors reviewed 700,000+ model responses reflecting real-world use 📊 Use Cases / Results ・52% fewer undesired answers on hard self-harm and suicide conversations vs GPT-4o ・8x fewer hallucinations on hard conversations from o3 to gpt-5-thinking ・Over 50x fewer errors in potentially urgent situations vs GPT-4o Useful for understanding symptoms and lab results, judging when to see a doctor, and being nudged toward appropriate follow-up care. #ChatGPT# #HealthcareAI#