We’re Evolving—Immortality.global 2.0 is Incubating
The platform is in maintenance while we finalize a release that blends AI and longevity science like never before.

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Researchers at Stanford University, led by psychologist Laura Carstensen, identify the longevity mindset as a crucial psychological driver that shapes aging outcomes. Empirical studies link positive aging attitudes to enhanced cellular, cardiovascular, and immune functions. Strength coach Ben Bruno’s case study with client Sheri demonstrates how consistent resistance training, underpinned by adaptive beliefs, can significantly increase bone mineral density and reverse osteoporosis, emphasizing mindset’s role alongside nutrition and exercise in extending healthspan.

Key points

  • Positive self-perceptions of aging correlate with extended lifespan and improved immune and cardiovascular markers.
  • Structured resistance training protocols stimulate osteoblast activity, increasing bone mineral density and reversing osteoporosis.
  • Combining cognitive reappraisal with mechanotransduction strategies underscores a synergistic model for healthspan optimization.

Why it matters: This convergence of cognitive and mechanical interventions redefines aging management, highlighting mindset as a pivotal, biologically relevant factor in extending healthspan beyond traditional biomedical approaches.

Q&A

  • What is a longevity mindset?
  • How do age stereotypes impact health?
  • Why is resistance training effective for bone health?
  • Can mindset alone improve aging outcomes?
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Researchers at Oxford University and companies such as Insilico Medicine and Calico leverage AI-discovered drug candidates, exposome risk analysis, and epigenetic clocks to advance personalized longevity strategies and target core aging mechanisms.

Key points

  • Oxford University exposome-wide study shows environmental factors explain 17% of mortality variation versus 2% for genetics.
  • AI platforms by Insilico Medicine and Calico accelerate discovery of anti-aging compounds through multi-species data modeling.
  • Senolytic pulse dosing with fisetin and quercetin in early human trials reduces senescent cell burden and chronic inflammation.

Why it matters: This integrated AI and multi-parameter approach offers a paradigm shift by enabling targeted, preventive interventions with translational potential for age-related diseases.

Q&A

  • What is the exposome and why does it matter?
  • How do AI models accelerate drug discovery for aging?
  • What are epigenetic clocks and how accurate are they?
  • Why use intermittent dosing for senolytics?
  • How does prevention differ from reversal in longevity?
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