BioOS
Authors
Alper Mete Yılmaz
PJTAK
Project Description
BioOS: Continuous Real-Time Biomarker Intelligence for Personalized Health and Longevity
BrainHack Warsaw 2026 — Early-Stage Concept
Abstract
BioOS is a proposed closed-loop biological monitoring system combining an implantable multi-analyte biosensor with a personalized AI layer. It continuously reads the body’s key biological signals, cross-correlates them, and generates actionable daily protocols — while serving as the foundational infrastructure for safe, targeted anti-aging intervention.
Hypothesis
Continuous, simultaneous monitoring of a broad biomarker panel will reveal causal biological relationships invisible to current tools. This enables both day-to-day health optimization and the real-time safety net required to one day attempt selective telomerase reactivation — restoring the cellular repair mechanism evolution switched off to suppress cancer — without triggering uncontrolled cell growth.
Equipment
The core hardware is a subcutaneous implant measuring glucose, insulin, cortisol, testosterone, growth hormone, inflammatory markers, electrolytes, and kidney function markers continuously. An AI layer learns the user’s individual baseline, detects anomalies, and adapts recommendations over time. A one-time genome scan provides each user’s static biological blueprint.
Significance
BioOS moves health monitoring from population-level averages and annual bloodwork to real-time, individual-level biological intelligence. Near-term, it targets sleep, performance, and illness prevention. Long-term, it aims to be the prerequisite safety infrastructure for anti-aging intervention — decrypting human biology well enough to eventually edit it.
Project requirements
All project communication, documentation, and presentations will be conducted in English
- Ability to develop or fine-tune Large Language Models (LLM) — mandatory
- Experience with biological data processing, genomics, or biomarker analysis
- Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or similar)
- Genuine interest in longevity science
Ability to think across disciplines — this project bridges AI and biology - Team-oriented mindset and comfort working on early-stage, speculative concepts
Programming languages used in this project
Python
Who are we looking for?
Biologist, Neuroscientist, programmer, data analyst
What can you gain from participating?
The importance of biomarkers, health measurements, medical data analysis, connecting the bridge between biology and information, working in a team environment,
