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July 8 in Longevity and AI

Gathered globally: 6, selected: 6.

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.


Scientists at NYU have developed a nuclear morphometric pipeline (NMP) that employs unsupervised machine learning to analyze changes in nuclear size, shape, intensity, and foci. By clustering these features, the NMP accurately identifies bona fide and pre-senescent cell states in vitro and in vivo across muscle regeneration and osteoarthritis models, offering a standardized, high-throughput approach for senescence mapping in aging and disease contexts.

Key points

  • Pipeline quantifies DAPI-stained nuclear size, circularity, intensity, and dense foci, then applies k-means clustering and UMAP to classify cell states.
  • Validated across oxidative and genotoxic inducers (H₂O₂, etoposide, doxorubicin) and cell types (C2C12, 3T3-L1, primary FAPs, SCs, ECs, chondrocytes) by Ki67, γH2AX, SA-β-gal, and senolytic assays.
  • In vivo mapping in young, aged, and geriatric mouse muscle and cartilage reveals dynamic, age-dependent distributions of senescent cell populations relevant to regeneration and osteoarthritis.

Why it matters: This standardized, ML-based approach transforms senescent cell detection, enabling scalable mapping of aging processes and targeted therapeutic interventions across tissues.

Q&A

  • What is cellular senescence?
  • How does nuclear morphology reflect senescence?
  • What is UMAP and why is it used here?
  • Why use unsupervised clustering instead of supervised learning?
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Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age

The aestheticsadvisor.com Editorial Team reviews over a thousand clinical studies to rank the ten most promising nutraceuticals for longevity—from vitamin D3 and omega-3s to glycine and CoQ10. They describe each supplement’s mechanism of action, research evidence, and role in targeting aging pathways.

Key points

  • Vitamin D3 and omega-3 co-supplementation preserves telomere integrity and reduces cancer risk in the VITAL trial.
  • GlyNAC (glycine + NAC) restores glutathione, improves mitochondrial function, and reduces oxidative stress in older adults.
  • CoQ10/PQQ and molecular hydrogen synergistically enhance mitochondrial biogenesis, ATP production, and antioxidant defenses.

Why it matters: This multi-targeted supplement framework underscores a shift toward precision geroscience, offering potential synergy across aging hallmarks.

Q&A

  • Why combine vitamin D3 with omega-3 fatty acids?
  • What is GlyNAC and how does it work?
  • How does molecular hydrogen act as an antioxidant?
  • Why use both CoQ10 and PQQ for mitochondrial support?
  • How does collagen supplementation improve skin health?
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Researchers at NOVOS Labs describe how a clinically tested blend of 12 ingredients—including glycine, AKG, fisetin, NMN, and magnesium—synergistically reduces oxidative stress, clears senescent cells, and boosts mitochondrial function to support men’s health span and strength.

Key points

  • Formulation combines 12 clinically studied compounds including glycine, AKG, fisetin, NMN, and magnesium to target multiple aging pathways.
  • Daily sachet delivery ensures consistent dosing to enhance mitochondrial function, glutathione synthesis, and senescent cell clearance.
  • Evidence-based blend supports muscle health, inflammation reduction, and cellular repair in men, addressing sarcopenia and metabolic decline.

Why it matters: This guide presents a multi-modal, evidence-based supplement strategy that targets core cellular aging pathways more comprehensively than single-mechanism products.

Q&A

  • What are senescent cells?
  • How does NMN boost cellular health?
  • Why combine antioxidants and senolytics?
  • What is sarcopenia and how can supplements help?
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Best Anti-Aging Supplements for Men: What Really Works?

An industry consortium develops lightweight machine learning models for on-device execution, leveraging optimized inference engines and hardware accelerators to achieve real-time, low-latency AI in sensors and embedded systems for enhanced reliability and data security.

Key points

  • Deployment of quantized neural networks on microcontrollers and embedded GPUs for sub-10 ms inference.
  • Comprehensive Edge AI stack covering hardware (MCUs, GPUs, FPGAs), RTOS integration, and optimized software frameworks.
  • Hybrid cloud-edge workflow enabling continuous model improvement via on-device inference and selective metadata uploads.

Why it matters: Embedding AI at the network edge transforms industries by delivering immediate, private, and reliable intelligence directly where data originates, enabling new applications unreachable by cloud-only approaches.

Q&A

  • What is Edge AI?
  • How does TinyML differ from general Edge AI?
  • What hardware supports on-device AI?
  • What role do model optimization techniques play?
  • How is device security ensured in Edge AI?
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MarketBeat's advanced screener identifies seven top Artificial Intelligence stocks—SMCI, BBAI, CRM, NOW, BTBT, QCOM, and TEM—by analyzing key metrics like trading volume, market capitalization, and performance indicators.

Key points

  • Super Micro Computer (SMCI) leads with $28.15B market cap, P/E 24.80, and open architecture server solutions.
  • BigBear.ai (BBAI) offers decision intelligence with 1.66 quick ratio and $2.23B market cap, trading at $7.68.
  • Salesforce (CRM) and ServiceNow (NOW) drive enterprise AI platforms with P/E ratios of 42.46 and 140.78, respectively.

Q&A

  • What defines an Artificial Intelligence stock?
  • Why does trading volume matter in stock selection?
  • How is the P/E ratio used to evaluate AI stocks?
  • What do moving averages reveal about stock trends?
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Ascendion secures Gold as AI Service Provider of the Year using its AAVA agentic AI platform to boost enterprise software delivery and transform workflows across industries.

Key points

  • Ascendion wins Gold as AI Service Provider of the Year at Globee Awards.
  • AAVA agentic AI platform enhances enterprise software delivery, reducing technical debt.
  • Platform operationalizes generative AI, machine learning, and NLP for scalable solutions.

Q&A

  • What is agentic AI?
  • What is the AAVA platform?
  • What are the Globee Awards?
  • How does Ascendion drive enterprise AI transformation?
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Ascendion Wins Gold as the Artificial Intelligence Service Provider of the Year in 2025 Globee® Awards