Rejuve.AI Longevity 1.0.2

Rejuve.AI Longevity 1.0.2

Rejuve Tech  ❘ Freeware
iOS
out of 4 votes
Latest Version
1.0.2
Safe to install
VERY GOOD User Rating

The Rejuve Longevity App serves as a sophisticated platform designed to facilitate your pursuit of a longer and healthier life, utilizing advanced AI technology supported by scientific research.

The application enables users to monitor biological age, acquire real-time health metrics, and receive individualized recommendations derived from diverse data sources—including wearable devices such as Oura and Apple Watch, lifestyle tracking tools like MyFitnessPal, blood test results, and additional inputs.

Operating on a decentralized research network, the Rejuve Longevity App offers several key features:

  • Personalized insights aimed at enhancing healthspan
  • The opportunity to earn $RJV tokens through contributions to longevity research
  • Full ownership of personal health data and involvement in scientific initiatives that promote individual and collective benefits

Whether you are a biohacker, wellness advocate, or new to the field of longevity, this platform provides comprehensive tools to empower you to take control of your health future.

Embrace a longer and better life starting today.

Disclaimer: This application offers health-related insights based on AI analysis of user data. It is not intended as a substitute for professional medical advice. Users should consult qualified healthcare providers before making any medical or lifestyle changes.

Overview

Rejuve.AI Longevity is a Freeware software in the category Home & Hobby developed by Rejuve Tech.

The latest version of Rejuve.AI Longevity is 1.0.2, released on 06/06/2025. It was initially added to our database on 06/06/2025.

Rejuve.AI Longevity runs on the following operating systems: iOS.

Users of Rejuve.AI Longevity gave it a rating of 4 out of 5 stars.

Pros

  • Utilizes advanced AI to analyze biological data for longevity research.
  • Potential to personalize health recommendations based on genetic and biological factors.
  • Innovative approach integrating machine learning with biomedical research.

Cons

  • Limited publicly available user reviews or clinical trial data to validate effectiveness.
  • May require significant user input or biological data that can be costly or difficult to obtain.
  • As a relatively new product, it may have undiscovered limitations or bugs.
  • Privacy concerns related to sensitive health and genetic data handling.

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