August 16 in Longevity and AI

Gathered globally: 3, selected: 3.

The News Aggregator is an artificial intelligence system that gathers and filters global news on longevity and artificial intelligence, and provides tailored multilingual content of varying sophistication to help users understand what's happening in the world of longevity and AI.


Acorn, a biotechnology company, formulates personalized anti-aging serums from autologous hair follicle stem cells. The secretome serum, applied during microneedling or laser procedures, delivers growth factors to enhance collagen, elastin production and skin regeneration.

Key points

  • Autologous hair follicle stem cells are expanded in lab to harvest acellular secretome.
  • The secretome serum combines concentrated growth factors, cytokines, and extracellular vesicles.
  • Application with microneedling enhances collagen, elastin production, and skin regeneration.

Why it matters: This personalized stem cell approach offers higher regenerative factors than conventional platelet therapies, paving the way for custom longevity treatments.

Q&A

  • What is a secretome?
  • How does autologous sourcing improve safety?
  • How is the serum applied in treatments?
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Acorn harnesses users' stem cells to create custom anti-aging serums

C3 AI, the enterprise AI application software provider, secures placement on the Constellation ShortList for AI and Machine Learning Best-of-Breed Platforms in Q3 2025. The recognition highlights its integrated C3 Agentic AI Platform, offering no-code/low-code development tools, collaborative monitoring dashboards, and diverse data science libraries to streamline the creation, deployment, and management of custom machine learning models at enterprise scale.

Key points

  • Selected for Constellation ShortList for AI and ML Best-of-Breed Platforms in Q3 2025 among 15 vendors
  • Integrated C3 Agentic AI Platform offers unified data ontology, no-code/low-code development, and collaborative monitoring
  • Automated deployment pipelines and scalable microservices support robust MLOps across hybrid cloud environments

Q&A

  • What is the Constellation ShortList?
  • What defines an enterprise AI platform?
  • How do no-code and low-code tools benefit AI projects?
  • Why is a unified data ontology important?
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Market Reports Insights forecasts a 15.8% CAGR for the facial recognition system market through 2032, driven by AI-enhanced deep learning algorithms, edge computing for faster processing, and increased adoption across security, retail, and finance sectors.

Key points

  • Market projected to grow at 15.8% CAGR, reaching USD 24.5 billion by 2032
  • AI and deep learning enhance matching accuracy and introduce advanced liveness detection
  • Shift to edge computing improves real-time processing and data privacy

Why it matters: This projection highlights AI-driven facial recognition’s pivotal role in shaping global security and authentication standards amid rising demand for seamless, reliable biometric solutions.

Q&A

  • What drives the 15.8% CAGR?
  • How does edge computing improve privacy?
  • What is liveness detection?
  • What are multi-modal biometrics?
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