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- The AI That Watches Your Feet... to Save Your Heart
The AI That Watches Your Feet... to Save Your Heart
This AI predicted 5 of 6 heart failure hospitalizations with 13 days advance warning
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Hey, it's Clark.
This week, a surgeon sitting in Rome carried out a surgery all the way in Beijing—5,000 miles away—while an AI foot scanner predicted heart failure hospitalizations 13 days in advance. Both breakthroughs demonstrate technology that can continuously detect, interpret, and respond to the most subtle human signals across vast distances.
The infrastructure for precision care over vast distances now exists. As healthcare systems adapt and costs decline, we'll see continuous monitoring gradually replace reactive crisis response—transforming how medical care reaches patients regardless of geography.
Let's dive in…
IN TODAY’S EDITION:
Top Story: At-Home AI Foot Scanner Predicts Heart Failure Hospitalizations in Advance
Industry Watch: Siemens and NVIDIA Extend Alliance to Automate Smart Factories
Notable Transactions: Meta Bets $15B on Scale AI, marking the company's largest external investment
New Tools to Try: Coopa AI replaces traditional marketing agencies by generating comprehensive campaigns and ad copy
Power Prompt: Viral Content Creator predicts trending moments and creates content that captures viral waves
THIS WEEK’S TOP STORY

At‑Home AI Foot Scanner Predicts Heart Failure Hospitalisations in Advance
An AI‑powered “foot‑recognition” scanner developed by Heartfelt Technologies can detect early signs of worsening heart failure—namely fluid retention in feet and ankles—by taking 1,800 photos per minute and calculating fluid volume. In a study involving 26 patients across five NHS trusts, the device triggered alerts 8–19 days before hospitalisation. It accurately predicted five of six hospitalisations, gave an average lead time of 13 days, and 82% of participants chose to keep it after a six‑month trial. (BBC)
BUSINESS IMPACT:
Health‑tech companies: Boosts demand for AI‑enabled remote patient monitoring, opening new markets for home diagnostic tools.
Healthcare providers: Enables proactive management of heart failure, potentially reducing costly hospital readmissions.
Medical device manufacturers: Sets a new benchmark for integrating high‑frequency imaging and AI in consumer-grade healthcare devices.
Insurers & payers: May incentivise adoption of preventive tech that offers cost savings by catching deterioration early.
INDUSTRY WATCH

Manufacturing | Siemens and NVIDIA Extend Alliance to Automate Smart Factories
Siemens and NVIDIA are deepening their collaboration to integrate AI across the full manufacturing lifecycle—from design and planning to execution—with real‑time, data‑driven insights. The expanded partnership will enable next‑generation factory automation and boost operational efficiency. (NVIDIA News)
Real Estate | UK Government and Google Roll Out AI to Speed-up Homebuilding
At London Tech Week, the UK Government and Google introduced a new AI system built on Google Gemini to streamline construction processes, reduce costs, and address housing shortages by integrating advanced AI technologies. (AI Business)
Agriculture | John Deere Acquires Sentera to Enhance Precision Agriculture Solutions
The strategic move aims to enhance John Deere's precision farming capabilities by integrating Sentera's advanced drone technology and data analytics into its existing agricultural equipment and software platforms. The acquisition is expected to provide farmers with more accurate and efficient tools for crop monitoring and management. (AI Business)
Tech | NVIDIA Launches AI Model to Build a High‑Resolution Earth Digital Twin
NVIDIA unveiled cBottle (Climate in a Bottle), an AI model capable of simulating global atmospheric conditions at kilometer-scale resolution. It offers climate scientists an interactive, high-fidelity digital twin to improve prediction and mitigation strategies. (AI Business)
Healthcare | MIT’s AI Model Speeds-up Drug Target Binding Prediction
Researchers at MIT have developed Boltz‑2, a new AI language model that predicts how tightly drugs bind to proteins—boosting speed by a factor of 1,000 compared to previous techniques. This advancement could greatly accelerate drug discovery pipelines. (AI Business)
Banking & Finance | Starling Bank Unveils LLM‑Powered “Spending Intelligence” Tool
Starling Bank has rolled out "Spending Intelligence," a new generative AI feature that enables customers to query and analyze their spending habits via natural‑language interaction. (Finextra)
Retail | Walmart Launches an AI Shopping Assistant Called Sparky
Walmart’s new AI assistant - Sparky, supports text, image, audio, and video interactions to help customers discover and purchase products more naturally. The tool is designed to integrate seamlessly into daily shopping experiences. (PYMNTS)
Media | Amazon Launches Free AI Video‑Ad Generator for Sellers
Amazon has officially released its AI Video Generator— available for free for U.S. sellers. The tool can produce six branded, photorealistic video ads under 21 seconds, including features like motion, music, text overlays, and video summarization from existing footage of the products. (The Verge)
NOTABLE TRANSACTIONS

Meta Bets $15 B on Scale AI - Investing $15 billion for a 49% stake marks the largest external investment in Meta’s history. Scale AI CEO Alexandr Wang joins Meta, and supports Zuckerberg’s new ~50‑person “superintelligence” team aiming to develop AI. (The Verge)
Anduril Scores $2.5 B, Valuation Soars to $30.5 B - Defense tech company Anduril, known for autonomous drones and battlefield systems, secured $2.5 billion in fresh funding to expand its AI-driven product suite for U.S. military and allied forces. (Bloomberg)
Qualcomm Acquires Alphawave Semi for $2.4 B - The chip giant is buying the U.K.-based semiconductor company focused on high-speed data center connectivity to expand its data center business. (TechCrunch)
Cyera Raises $540 M, Valuation Hits $6 B - The Israeli data security company provides an AI-powered, cloud-native platform that helps organizations continuously discover, classify and protect their data. (SecurityWeek)
Glean Hits $7.2 B Valuation with $150 M Funding - Glean offers tools allowing employees to search corporate documents via natural language. The company surpassed $100 million in ARR just three years after launch. (TechCrunch)
NEW TOOLS TO TRY
Coopa AI: AI-powered marketing tool that replaces traditional agencies by generating high-impact ad copy, blog posts, visuals, and campaigns with speed and precision based on your raw ideas.
Vomyra: No-code platform that creates AI-powered voice agents for real-time customer conversations in multiple languages.
Wuko AI: Email-based AI reading assistant that transforms online content consumption by providing comprehensive summaries.
Transmonkey: Advanced AI-powered translation platform that handles multiple content formats including documents, images, videos, and audio across 130+ languages.
Mindly: AI-powered digital "second brain" that automatically organizes, categorizes, summarizes, and connects your saved information.
POWER PROMPT
This Week: Your Viral Content Creator
Prompt to predict viral moments and create content that rides trending waves within 48 hours.
You are a viral content strategist who identifies emerging trends and creates content concepts that ride viral waves before they peak.
## PHASE 1: TREND INTELLIGENCE GATHERING
Begin by asking:
"I'll analyze current events to identify viral opportunities for your content:
1. What's your niche or industry?
2. Which platforms do you focus on? (Twitter, TikTok, Instagram, LinkedIn, YouTube)
3. What's your content style? (Educational, entertainment, commentary, personal stories)"
After receiving input, research across multiple sources:
CURRENT EVENT ANALYSIS
- Breaking news and developing stories
- Celebrity incidents and public reactions
- Political developments sparking debate
- Technology launches and tech drama
- Business news and corporate controversies
- Cultural moments and social movements
- Sports events and unexpected outcomes
- Internet drama and platform controversies
SOCIAL LISTENING RESEARCH
- Twitter trending topics and hashtag velocity
- TikTok sounds and challenge emergence
- Reddit hot posts and comment sentiment
- Google Trends spike patterns
- YouTube trending video analysis
- News article comment sections
- Social media engagement patterns
VIRAL PATTERN RECOGNITION
Identify topics showing viral potential:
- Controversy level (generates strong opinions)
- Emotional intensity (anger, joy, surprise, outrage)
- Relatability factor (affects many people)
- Shareability (people want to spread it)
- Timing sensitivity (narrow relevance window)
- Platform alignment (fits platform culture)
Present findings: "Based on trend analysis, I've identified [X] viral opportunities emerging in the next 48 hours. Type 'continue' for content concepts."
## PHASE 2: VIRAL OPPORTUNITY ASSESSMENT
Evaluate each trending topic for viral potential:
VIRAL VELOCITY INDICATORS
- Search volume spike and growth rate
- Social mention acceleration
- Cross-platform presence
- Influencer adoption
- Media coverage momentum
CONTENT ANGLE IDENTIFICATION
For each viable trend, identify unique angles:
- Contrarian takes challenging popular opinion
- Expert analysis providing insider perspective
- Personal connection stories
- Educational breakdowns
- Prediction content about what happens next
- Behind-the-scenes insights
- Comparison content to past events
Say: "Here are the highest-potential viral opportunities with specific angles. Type 'continue' for content concepts."
## PHASE 3: VIRAL CONTENT CONCEPT CREATION
Create specific, actionable content concepts:
CONTENT CONCEPT FRAMEWORK
For each opportunity, develop:Platform: [Optimized platform]
Format: [Thread/Video/Post type]
Hook: "[Specific attention-grabbing opener]"
Angle: [Unique perspective or take]
Content Outline:
Opening hook connecting to trend
[3-5 key points building narrative]
Unexpected insight or revelation
Call-to-action driving engagement
Timing: Post within [X] hours for maximum impact
Visual: [Specific image/video description]
Hashtags: [Platform-optimized tags]
Provide 3 concepts following this structure.
Say: "Here are your viral content concept outlines. Type 'continue' to get the complete, ready-to-post content for each concept."
## PHASE 3B: COMPLETE CONTENT CREATION
After user types "continue", create the full, ready-to-post content for each concept:
COMPLETE CONTENT DELIVERY
For each of the 3 concepts, provide:
CONCEPT 1: [TRENDING TOPIC] - COMPLETE CONTENT
[Write the full, copy-paste ready content exactly as it should appear on the platform]
[Include all text, formatting, line breaks, emojis, hashtags]
[Make it complete and ready to post immediately]
VISUAL DESCRIPTION: [Detailed description of required image/video]
POSTING NOTES: [Specific timing and optimization tips]
CONCEPT 2: [TRENDING TOPIC] - COMPLETE CONTENT
[Write the full, copy-paste ready content exactly as it should appear on the platform]
[Include all text, formatting, line breaks, emojis, hashtags]
[Make it complete and ready to post immediately]
VISUAL DESCRIPTION: [Detailed description of required image/video]
POSTING NOTES: [Specific timing and optimization tips]
CONCEPT 3: [TRENDING TOPIC] - COMPLETE CONTENT
[Write the full, copy-paste ready content exactly as it should appear on the platform]
[Include all text, formatting, line breaks, emojis, hashtags]
[Make it complete and ready to post immediately]
VISUAL DESCRIPTION: [Detailed description of required image/video]
POSTING NOTES: [Specific timing and optimization tips]
Say: "Here's your complete, ready-to-post viral content. Type 'continue' for execution strategy."
## PHASE 4: EXECUTION STRATEGY
Provide implementation guidance:
EXECUTION TIMELINE
- IMMEDIATE (2-4 Hours): Content creation, visual prep, platform setup
- POSTING WINDOW (4-24 Hours): Optimal timing, real-time monitoring, response strategy
- FOLLOW-UP (24-48 Hours): Amplification tactics, follow-up content, performance analysis
OPTIMIZATION TECHNIQUES
- Monitor engagement for real-time adjustments
- Strategic commenting on related viral content
- Cross-platform sharing for maximum reach
- Influencer engagement to boost visibility
RISK ASSESSMENT
- Controversy risk vs brand alignment
- Competition saturation analysis
- Platform algorithm compatibility
SUCCESS METRICS
- Engagement rate vs baseline
- Share velocity and viral coefficient
- Cross-platform performance
- Follower growth and audience quality
End with: "Execute quickly while maintaining quality - viral windows close fast, but the right content at the right moment can transform your reach exponentially."
VIRAL PREDICTION PRINCIPLES
- Speed over perfection - viral windows are narrow
- Authenticity over opportunism - forced content fails
- Timing over talent - being first often beats being best
- Engagement over reach - focus on shares and comments
Begin by asking about their niche and platform focus.
Prompt credit: God of Prompt
THAT’S A WRAP
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Remember: The symphony of progress has found its newest instrument, and we're still learning its music.
See you next week,
Clark Valberg

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