1. LLMs don’t work on their own; they need neurosymbolic harnesses, which is more or less what I send all along.
2. Hundreds of times I have said that LLMs are unreliable and that is the problem, not their power per se. But I guess you can’t or won’t read. So blocked.
HEALTHCARE AI
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AI Diagnosis: Experimental Success vs. Real-World Challenges
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GMLF Multimodal Deep Learning Framework for Chemotherapy Histology
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The GMLF Multimodal Deep Learning Framework of Chemotherapy Histology and Gene Expression! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #HealthTech #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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KAIST Gallium Needle Softens at Body Temperature for Safer Injections
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KAIST Develops Gallium Needle That Softens at Body Temperature for Safer Injections
— Ronald van Loon (@Ronald_vanLoon) 5 mai 2026
by @tweetciiiim
#MedTech #HealthTech #Tech #TechForGood pic.twitter.com/g8iTdzNeF9KAIST Develops Gallium Needle That Softens at Body Temperature for Safer Injections
by @tweetciiiim #MedTech #HealthTech #Tech #TechForGood -
Unlocking Drug Discovery: Finding Insights in Patent Diagrams
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What if the next life-saving drug is buried in a patent diagram? In early drug discovery, progress can hinge on a single decision. The evidence exists, but some of the most valuable insights stay invisible to conventional search, especially inside dense patents and complex… pic.twitter.com/QFBEHu3J2j
— Catherine Adenle (@CatherineAdenle) 5 mai 2026What if the next life-saving drug is buried in a patent diagram? In early drug discovery, progress can hinge on a single decision. The evidence exists, but some of the most valuable insights stay invisible to conventional search, especially inside dense patents and complex
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Integrated Care Platforms Rise Beyond Telehealth
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Beyond Telehealth: The Rise Of The Integrated Care Platform
by Manjula Iyer @Forbes Learn more: https://
bit.ly/48VV1tJ #MedTech #Healthcare #HealthTech #Tech #TechForGood -
AI vs Physicians Study Comparison Needs Important Clarification
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The comparison was against internal medicine physicians, not ER specialists. Worth noting before treating 67% vs 55% as a definitive verdict on AI versus emergency medicine broadly.
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Stanford’s RAISE Health Symposium on AI in Healthcare Announced
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It is a sociopath who wants to continue the carnage on our freeways.
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Stanford’s Open-Source Platform Uses Phone Habits for Health Insights
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Sorry, already on another space.
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AI in Health Insurance: Governance Needed for Responsible Decision-Making
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You'll adopt around two years from now.
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Stanford Researchers Raise Concerns Over Zero-Shot Prediction in Healthcare AI
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Good stories sell.
— Robert Scoble (@Scobleizer) 5 mai 2026
Accuracy not needed necessarily. https://t.co/REkTJAPPCvGood stories sell. Accuracy not needed necessarily.