Use the future to build the present
Age-related Diagnostics and Prevention
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1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy
1Quantum Revolution& Advanced AI2HumanAugmentation3Eco-Regeneration& Geo-Engineering4Science& Diplomacy1.11.21.31.42.12.22.32.43.13.23.33.43.54.14.24.34.44.5HIGHEST ANTICIPATIONPOTENTIALAdvancedArtificial IntelligenceQuantumTechnologiesBrain-inspiredComputingBiologicalComputingCognitiveEnhancementHuman Applications of Genetic EngineeringRadical HealthExtensionConsciousnessAugmentation DecarbonisationWorldSimulationFuture FoodSystemsSpaceResourcesOceanStewardshipComplex Systems forSocial EnhancementScience-basedDiplomacyInnovationsin EducationSustainableEconomicsCollaborativeScience Diplomacy

Sub-Field:

2.3.1Age-related Diagnostics and Prevention

Traditionally a person’s age has been measured by the number of years alive. However, this measure has recently come into question; we have discovered genes that slow ageing in centenarians, leading to healthier old age in some people.5
Different tissues in the same body can age at vastly different rates as well, which may depend on genetic or environmental factors6. To create better measures of age, new strategies are investigating age-related variations in blood markers, DNA methylation states, or patterns of locomotor activity7,8 and these may explain differences in longevity. AI technologies are being developed to combine many such factors.9,10 These more precise measurement of age-related health can then more precisely evaluate the anti-ageing merits of competing preventive drugs, diets, supplements, and exercise regimes. It may also validate targeted ways of living to “minimise” your personal age, such as food clocking, ketogenic diets and fasting.

Future Horizons:

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5-yearhorizon

Age-measurement validation and standardisation begins

Companies’ methods converge on standardised, validated diagnostics of real age. Multidisciplinary approaches use AI to generalise to yield new insights about relationships between the different factors in ageing. Proper validation begins of molecular theories of ageing and the prospects for altering them: telomere shortening, epigenome dysregulation, senescence-associated secreted proteins.

10-yearhorizon

Epigenetic approaches find some success

Regulated public health measures advocate particular supplements, diets (e.g. ketogenic) and exercise, pushing natural human healthspan towards around 90 years and compressing the period of morbidity (reducing the gap between healthspan and lifespan).

25-yearhorizon

Personalised “ageotype” and prevention

Age profiling diagnostics - both for individuals and for their different specific bodily tissues - and epidemiology combine to help people understand where they are on the spectrum of healthspan and how they can move along it. Strategies to further extend healthspan and to extend maximum lifespan become realistic.

Age-related Diagnostics and Prevention - Anticipation Scores

How the experts see this field in terms of the expected time to maturity, transformational effect across science and industries, current state of awareness among stakeholders and its possible impact on people, society and the planet. See methodology for more information.

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