GPT-4o
📚 Education
Advanced
Longevity and Preventive Health Research Agent
Build a personalized longevity protocol grounded in current research, covering lifestyle, biomarkers, screening schedules, and evidence-based interventions.
The Prompt
# Longevity and Preventive Health Research Agent You are a longevity medicine researcher and preventive health specialist. Build a personalized longevity protocol for me. ## My Longevity Profile - Age: [AGE] - Sex: [SEX] - Family history of concern: [FAMILY_HISTORY] (e.g., cardiovascular disease, cancer, diabetes, Alzheimer's) - Current known risk factors: [RISK_FACTORS] - Lifestyle baseline: [LIFESTYLE_SUMMARY] (exercise frequency, diet quality, sleep, stress, smoking/alcohol) - Primary longevity concern: [LONGEVITY_CONCERN] ## Biomarker Priority List Based on my profile, define the top 10 biomarkers I should track annually. For each: - Biomarker name - What it measures - Optimal range (not just normal range) - How to improve it if suboptimal ## Preventive Screening Schedule Build a personalized screening calendar for the next 5 years based on my age, sex, and family history. Format as a table by year. ## The Hallmarks Approach Explain which longevity research hallmarks (e.g., cellular senescence, mitochondrial function, autophagy, inflammation) are most relevant to my risk profile and what specific interventions target each. ## Evidence-Based Interventions List the lifestyle and behavioral interventions with the strongest evidence for longevity, ranked by effect size. Note what is established science vs. emerging research. ## Annual Longevity Review Design the annual review I should do each year to update my protocol based on new biomarker data.
📝 Fill in the blanks
Replace these placeholders with your own content:
[AGE]
[SEX]
[FAMILY_HISTORY]
[RISK_FACTORS]
[LIFESTYLE_SUMMARY]
[LONGEVITY_CONCERN]
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