How AI will solve aging - Longevity Escape Velocity by 2030
AI Summary
Summary of the Video: Longevity Escape Velocity by 2030
Key Terminology:
- Lifespan: Maximum time an organism can live; humans around 120 years.
- Health Span: Period of vitality; around 50-60 years for humans.
- Life Expectancy: Median age of death; varies by demographics.
- Longevity Escape Velocity: Lifespan increase rate greater than one year per year.
Current Status and Predictions:
- Animal Models: Significant lifespan increases observed in flies and mice through genetic pathways and therapies.
- Quantum Computing: Rapid advancements expected to enhance simulations for genetic research and aging.
- AI Contributions: Both general-purpose and narrow AI are improving drug discovery and biological understanding.
- Therapies: Several gene therapies show promising results in increasing the lifespan of mice, which could translate to humans.
Breakthrough Therapies:
- Tome’s Gene Therapy: Extends mouse lifespan by 24% (equivalent to 30 years for humans).
- Yamanaka Factors: Doubles life expectancy of older mice by 109%.
- OSK Gene Therapy: Shows rejuvenation in non-human primates, leading to closer prospects for human applications.
Future Expectations:
- Anticipated advancements in disease elimination and comprehensive rejuvenation therapies.
- Possible personal use of triage-like diagnostic devices for health monitoring.
- Continued progress toward making aging a treatable condition recognized by regulatory bodies.
Societal Considerations:
- FDA’s reluctance to declare aging a disease hampers progress.
- The video raises ethical questions about the value of life extension and societal attitudes towards aging and death.
Conclusion:
The video’s overarching message emphasizes that with current advancements, achieving longevity escape velocity by 2030 is not only reasonable but likely, with various therapies and technologies paving the way for significant life extension and improved health span.