Question 1

What is AI Root-Cause Medicine?

Accepted Answer

AI Root-Cause Medicine is a new medical paradigm that starts from individual multi-dimensional data, uses AI to perform first-principles causal reasoning, and directly generates verifiable intervention plans. It is not a patch on the old system, but the opening of a new system. Traditional evidence-based medicine relies on induction, while AI Root-Cause Medicine relies on deduction.

Question 2

What is the Personal Longevity Operating System?

Accepted Answer

The Personal Longevity Operating System is the engineering implementation of AI Root-Cause Medicine. It consists of five layers: Capome for root-cause measurement, Capomics for state encoding, SEMO for root-cause reasoning, DeepKang for service delivery, and N-of-1 retesting for continuous learning.

Question 3

What is the SEMO Root-Cause Reasoning Engine?

Accepted Answer

SEMO (Systemic Response Primitives) is the core compiler of the AI Root-Cause Medicine system. It takes individual multi-dimensional state data as input and outputs root cause ranking, intervention target ranking, molecular/nutrient/drug recommendation ranking, and retestable verification metrics. It is not a static biomarker, but a deductive reasoning engine from state to intervention.

Question 4

What is the First Principle of Life?

Accepted Answer

Life is an adaptive capability ensemble. Life is not a static accumulation of matter, but a collection of adaptive capabilities that continuously maintains its own ordered existence in a dynamically changing environment. Health is the state where adaptive capabilities are strong and subsystems coordinate well; disease is the state where certain adaptive capabilities are damaged or dysregulated; aging is the process of overall adaptive capabilities gradually declining over time.

Question 5

What is Capomics?

Accepted Answer

Capomics (Omics of Capability) is a novel life characterization system centered on the intrinsic capability reserves of organisms. It shifts from 'structure determines function' to 'capability determines state', proposing that intrinsic capability should be recognized as a distinct concept beyond structure and function. Capomics provides the theoretical foundation for the three-layer computational framework of Root Cause Medicine.

Question 6

What is Root Cause Medicine?

Accepted Answer

Root Cause Medicine is a new medical paradigm that discovers the fundamental causes of diseases through a three-layer computational framework (phenotype layer, functional layer, root cause layer), derived from the first principles of life. The phenotype layer records the external manifestations of adaptation failures, the functional layer evaluates the operational status of specific adaptive capabilities, and the root cause layer traces the underlying damage to capability reserve information.

Question 7

What is Response Mapping Theory?

Accepted Answer

Response Mapping is the second paradigm of medical knowledge. It does not first ask 'what disease is this', but rather 'what state is the system currently in' and 'how does the system respond to perturbations'. Modern medicine has been extremely successful with the first paradigm (objective description of external entities), but the era of complex diseases requires the second paradigm — response mapping of system states.

Question 8

What is the SEMO Algorithm?

Accepted Answer

SEMO (Systemic Response Primitives) is a network medicine-based algorithm. It uses DNA methylation as the epigenetic memory layer and PPI interaction networks as the chassis, transforming abstract 'life system shifts' into quantifiable, traceable, and intervenable digital signals, achieving computational mapping from state identification to intervention selection.

Question 9

What is the Three-Layer Framework of Root Cause Medicine?

Accepted Answer

The three-layer framework is the core computational architecture of Root Cause Medicine. Phenotype Layer (What): Observable disease manifestations such as elevated blood sugar and fatigue. Functional Layer (How): Operational status of specific adaptive capabilities such as insulin sensitivity and immune response. Root Cause Layer (Why): Underlying damage to capability reserve information such as epigenetic changes, mitochondrial dysfunction, and chronic inflammation.

Question 10

What role does DNA methylation play in Root Cause Medicine?

Accepted Answer

DNA methylation is the epigenetic storage mechanism for capability reserve information. It does not change the DNA sequence but can regulate gene expression, record environmental information, and store adaptive memory. DNA methylation patterns undergo systematic drift with age, serving as the molecular basis for aging clocks and the core indicator for root cause layer monitoring.

Question 11

What is the value of Traditional Chinese Medicine in the modern medical system?

Accepted Answer

TCM is essentially a response mapping language. Concepts like wind, cold, heat, and dampness are not objects but compressed labels for prototypical response states. A 2023 Science Advances study confirmed that the herb-symptom efficacy of TCM can be precisely explained through network proximity. TCM preserves macro-level response mapping capabilities that modern medicine has long overlooked.

Question 12

What does DeepVime/DeepOMe do?

Accepted Answer

DeepVime is an in vivo efficacy profiling technology for drugs and foods developed by DeepOMe. By comparing saliva DNA methylation changes before and after intervention, it detects the efficacy and mechanisms of food-drug products, achieving daily monitoring precision. This is the engineering application of the SEMO algorithm in personalized nutrition.

Creator of AI Root-Cause Medicine

生物医学被困在归纳法里200年。AI可以改变这一点。

归纳法AI

演绎法AI

演绎法真的可行吗？三个维度的证明。

星球能力组学

分子尺度的顶刊验证

从检测到生成的完整能力栈

不是思想实验，是已经工作的系统。

演绎引擎

验证数据

理论体系

对于AI公司，这意味着什么？

战略卡位

差异化竞争

可落地验证

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