AI can predict disease risks and enable early intervention. By analyzing genetics, medical records, wearable data, and lifestyle, AI models accurately forecast risks for cancer, heart disease, diabetes, Alzheimer’s, etc. Examples: Google’s DeepMind predicts acute kidney injury 48h in advance; Freenome’s AI detects colorectal cancer from blood tests. AI also powers personalized interventions like insulin optimization and risk alerts via apps.Key cases: https://www.nature.com/articles/s41586-019-1769-5 (DeepMind AKI) https://www.freenome.com
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Here are 6 “cursed” food combos that sound insane but are addictively good:Peanut butter + pickles sandwich French fries dipped in milkshake Cheese + strawberry jam toast Soy sauce + vanilla ice cream Watermelon + feta + balsamic Doritos + cottage cheese Once you try, you can’t stop Related: https://www.buzzfeed.com/rossyoder/food-combinations-that-sound-gross-but-arent https://tasty.co/article/hannahloewentheil/weird-food-combos-that-are-actually-good
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Here’s a concise checklist to spot real Web3 innovation vs hype:Check the GitHub: Active commits, real code, not just a fork. Team is doxxed & has proven track record (LinkedIn, past projects). Tokenomics make sense (fair launch, vested team tokens, no massive pre-mine). Actual working product or clear roadmap with shipped milestones. Revenue model beyond “hold token = profit”. Audited contracts by reputable firms. Community discusses tech, not only price. Red flags: Anonymous team, 90%+ tokens to insiders, “100x moon” marketing only.Useful tools: https://defillama.com https://token.unlocks.app https://rugdoc.io https://github.com https://code4rena.com
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