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AI now can spot the earliest warning signs of heart failure even before symptoms start with just your former CT scan. It could soon change how we diagnose and prevent one of the world’s leading killers: heart disease.
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AI INSIGHTS
Heart disease causes over 17 million deaths annually worldwide. Many people get no warning before a life-threatening event like heart failure. It would be great if we can spot the earliest warning signs of heart failure, even before symptoms begin, just by analyzing a scan you might already have taken before.
🧪 The Tool: The Smart Way to Scan Your Heart
They use calcium-scoring CT scans - a type of heart scan that’s already widely used, affordable, and non-invasive. Reads much more than plaque like heart shape, bone density, fat distribution, even lung appearance.
This AI integrates patient metrics (age, sex, BMI, etc.) for personalized risk profiles.
📊 How Well It Works: Risk Associations: Performance remained stable across:
Multiple sensitivity analyses (different ECG formats, follow-up durations).
Three different populations: YNHHS (U.S.), UK Biobank (UK), and ELSA-Brasil (Brazil).
💡 The Impact: Personalized Risk Prediction for Better Outcomes
It doesn’t replace doctors but enhances their decision-making with advanced diagnostics.
Faster analysis of large imaging datasets vs. traditional methods. More affordable and non-invasive.
Could be integrated directly into existing hospital workflows.
Why It Matters: Heart disease often strikes without warning. Now we have a second set of “eyes” that could detect the hidden signs earlier than ever before. Is that a shift from reactive medicine to proactive prevention. As hospitals collect more imaging data, models like this will only get smarter.
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TODAY IN AI
AI HIGHLIGHTS
🎥 HeyGen just released Avatar IV and it’s wild. Upload one photo and a script, it'll create a super-realistic talking face, even for pets or aliens. Try it here.
⚖️ Elon Musk’s attorney said OpenAI’s PBC restructuring “changes nothing” and accused OpenAI of transferring charitable assets to private interests like Sam Altman and Microsoft.
🧑🤝🧑 Mark Zuckerberg leaves crowd speechless as he wants to terrify dystopian future. He thinks you don't have enough friends, but talking with more robots isn't socializing more.
🦜 NVIDIA dropped a FREE speech AI nuk - Parakeet 2 - an open-source, high-performance speech recognition model that beats top paid models like ElevenLabs and Microsoft Phi-4.
🎬 Netflix overhauls its home screen for the first time in 12 years: new short-form video feature, AI search tool, new mobile-only vertical feed like TikTok. See full updates here.
🌍 OpenAI's new “OpenAI for Countries” aims to partner with regions to build on democratic AI rails with localized versions of ChatGPT, part of the US's $500 billion Stargate Project.
💰 AI Daily Fundraising: Jeff Bezos' firm, Bezos Expeditions, is leading a $72 million investment in AI company Toloka, aiding its U.S. market growth and enhancing its collaborations with Amazon, Microsoft, and Anthropic.
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AI QUICK HITS
🤝 Microsoft adopts Google’s Agent2Agent protocol for linking up AI agents.
🌐 Anthropic rolls out an API for Claude web search to get the latest infor from the web.
🔍 Apple will add AI search options on Safari, a blow to Google's dominance.
🔒 Reddit will tighten verification to keep out its human-like AI bots.
💳 Stripe unveils its AI model for payments, and a tighter NVIDIA partnership.
AI CHART
Mistral is releasing a new AI model, Mistral Medium 3, that’a mid-sized AI model focused on enterprise-grade performance, customization, and cost-efficiency. It combines top-tier performance with modular deployment.
Despite being smaller and cheaper, it competes directly with market leaders like Claude Sonnet 3.7, LLaMA 4, and Cohere Command R+.
📈 Performance That Punches Above Its Weight
Beats or matches Claude Sonnet 3.7 across most benchmarks.
Outperforms major open-source models like LLaMA 4 Maverick.
Strong in STEM and coding tasks, where it often closes the gap with larger, slower models.
Evaluation used a uniform internal benchmarking system for consistency.
💸 Cost Efficiency That’s Hard to Ignore
$0.40 per million input tokens
$2 per million output tokens
Significantly cheaper than Claude, GPT-4, and Cohere.
Even beats DeepSeek v3 on both API and self-deployment costs.
This model can be deployed on any cloud or on-premises. You can host it on your own servers with just four GPUs, surprised right! This move is truly a shot across the bow at companies offering expensive, black-box models.
As enterprises demand more transparency and customizability, Mistral Medium 3 could very well become the default choice for businesses looking to scale AI affordably and responsibly.
AI JOBS
Hugging Face: Machine Learning Engineer, WebML - US Remote
Microsoft: Technology Specialist Data & AI
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The AI Fire Team
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