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Predicting Postprandial Glycemic Response from Meal Images, Clinical Variables, and Gut Microbiome Information

Predicting postprandial glycemic response (PPGR) is fundamental to personalized nutrition and type 2 diabetes management, yet existing approaches typically rely on manually reported dietary intake, limiting their scalability in free-living settings. We propose a multimodal framework that replaces manual dietary logging with image-derived macronutrient estimates and integrates them with clinical…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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The Craft vs. Output Divide: Reclaiming Engineering Mastery in the Age of AI Copilots

Originally published on tamiz.pro . The Illusion of Speed The modern software engineer faces a paradox: we have never been able to produce code faster, yet maintaining the quality of our systems has…

  • AI-assisted coding tools lower barrier to correct code creation, benefiting average developers.
  • Senior engineers' deep understanding, complex system design, and debugging skills weaken.
  • Treating AI as junior colleague helps maintain critical thinking and flow state.

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