From traditional wisdom to a New Biology Dogma — the framework proposed by our founder Yue Jeff Xu that unites NMT, imOmics and the Global imOme Project, and redefines how life sciences understand the relationship between life and its environment.
The state of a living system — its health, growth, disease, metabolism, stress — is a function of its environment and time:
Traced to the ancient Chinese wisdom of "Harmony between Heaven and Humanity" (天人合一), the framework calls for a shift in the life sciences — from the static "decoding" paradigm represented by genomics to a dynamic "regulation" paradigm based on real-time interaction. Because both life and environment are built from ions and molecules, their exchanges define the living boundary — Life as Environment — giving the formula its physicochemical foundation and giving birth to imOmics.
Genetic information does not act on the world directly. Between protein and phenotype lies the imOme — the real-time ionic and molecular exchanges that bridge internal genetic instructions with external environmental interactions.
The imOme is the missing functional layer: dynamic, directional, and measurable only in living samples — exactly what NMT was built to do.
Proposed by Yue 'Jeff' Xu at Plant Biology 2014 (Portland, Oregon), imOmics is the holistic study of ion and molecule exchanges between living (and non-living) matter and its environment. It is a functional omics: instead of static molecular inventories, it reads the dynamic fluxes at the life–environment interface — the value of the function f at a specific time and place.
AI-driven, high-throughput NMT platforms (such as AINMT300-YG and IMONMT700-YG) capture multi-species flux data across plates, samples and conditions.
Environmental parameter recording (ERP/PEP) synchronizes temperature, light, pH, gravity and other variables with every flux measurement — environment and life in one dataset.
The flux cloud provides standardized collection, storage, metadata association, visualization and AI-based omics analysis — turning flux streams into imOmics knowledge.
GiP deploys standardized, intelligent monitoring nodes worldwide to build a cross-species, cross-scale, cross-region dynamic database of life–environment interactions — and to move the life sciences from describing phenomena to predicting and regulating them.
Move life science from describing phenomena to predicting and regulating living systems, based on real-time life–environment interaction data.
Rebuild industrial ecosystems in precision medicine, smart agriculture and environmental governance — nurturing multi-billion-dollar emerging industry clusters.
Establish technical, data and algorithmic standards for live functional testing — SOPs, certification and shared methodologies for the community.
Initiated by the NMT International Alliance; implemented with the Zhongguancun NMT Industrial Alliance.