The π-HuB project is a 30-year scientific endeavor that aims to achieve significant milestones in the future, ultimately benefiting human health.
The project involves creating a cross-scale, multi-dimensional reference space of the human proteome that covers healthy adult men and women from three major races worldwide. This reference space will provide a high-precision and comprehensive depiction of the human proteome, serving as fundamental data for proteomics-based navigation systems and systematic exploration of human body structure principles.
The project includes developing a state space of the human proteome across an entire life cycle - from reproduction, development, childbirth, growth, sexual maturity to aging. It also incorporates matrix-style dynamic data flow groups on how four major dietary patterns and five major survival environments interact with this life cycle. Through this approach we can understand evolutionary processes and laws of humans in different spatial-temporal dimensions; recognize digital expression modes and developmental rules of diseases during abnormal processes; determine directions and transformational rules for sub-health status or pathological states based on physiological conditions.
A navigation system based on both reference-state spaces will be established using cutting-edge technologies such as artificial intelligence (AI), big data analysis techniques (BDAT), multi-scale modeling etc., which will enable accurate monitoring of health status changes through warning models for abnormal states while providing precise "navigation" from an abnormal state back to normalcy.
Completion of 3-5 representative organ cell type-resolution Reference-State maps, elucidating key cellular architectures.
Launch of Human Body Reference-State Map Version 1.0, providing a comprehensive framework for understanding the human body in its standard state.
Release of Version 1.0 of the Human Proteome State Space Data Resource Library, encompassing the entire life cycle and offering a valuable tool for proteomics research.
Introduction of π-HuB No.1: A Navigation System based on Human Proteome Reference-State Space, facilitating exploration and analysis of proteomic data.
Release of the Spatiotemporal Resolution State Space Data Resource Library Version 2.0, offering enhanced resolution and accuracy;Launch of the Reference-State Map Atlas Version 2.0 with single-cell resolution, enabling more detailed visualization and understanding of cellular structures.
Unveiling of π-HuB No.2: A Navigation System based on Human Proteome State Space, providing an updated platform for proteomics research and analysis.
Release of the Detailed Spatial Map Version 2.0, depicting the 37 trillion cells in the human body with unprecedented precision.
Launch of π-HuB No.3: The proteomic navigation of the human body, advancing the new paradigm of Phronesis Medicine and enabling more targeted therapeutic approaches.
Implementation of the new paradigm of Phronesis Medicine, based on π-HuB No.3, with plans to apply this cutting-edge approach to over one million individuals, revolutionizing healthcare and treatment modalities.