Lausanne Presentation

Author: Gianpiero Pescarmona
Date: 02/06/2015


Modeling life beyond Metabolomics. A comprehensive approach to metabolism in health and disease.

Short Family Biography

Papers Pescarmona GP

What models can predict

The role of Models in Clinical Practice


The EBM approach

  • Symptom/disease identification
  • "correct" therapy on the basis of the evidences (average choice based on thousand cases)

The biochemical approach

  • Identification of biochemical causal relationships leading to symptoms/disease in the single individual

Patient is unique (read: anecdotal) so why he should be treated as similar to ....?

“Anecdotal Evidence”: Why Narratives Matter to Medical Practice, 2006

When anecdotes fit a deep biochemical model they are no longer anecdotes but evidences of biochemical model fitness.

Biochemical network are made by physical agents that are always linked by causal relationship, even if you don't know them.

When the network is very complex to test the predictive power of simple hypothesis on a large number of subjects usually fails because of the large number of factor involved but not recorded. ICT allows at acceptable costs collection of huge amount of data.
When an anecdotal info, collected by chance, lighten a new causal node, this node is added to the network and checked for other instances. And so one until the vast majority of the events become predictable.

Evidence is a record of the past, not a preview of the future.

The only correct experimental evidence is the never ended one, and evolutionary like life.

A Biochemical Method can allow Previews: if they are confirmed in the real patient the model is reinforced, otherwise we are forced to improve it (new nodes, new relationships, new polymorphysms)

Artificial Intelligence

‘Deep’ models and their relation to diagnosis, 1989

We provide a typology of different knowledge structures and reasoning processes that play a role in qualitative or functional reasoning and elaborate on functional representations as deep cognitive models for some aspects of causal reasoning in medicine.

The Failure of AI in Medicine depends on the fact that it is based on deep cognitive models and not on deep biochemical models

What is the Disease?

Disease: inadequacy of a living organism to cope with environmental requirements

To understand Disease we have to define the Living Organism and the Rules driving its life

Example 1: Pain

The First Rule: Dissipative

Pain, the First Rule and the Fourth Rule

Example 2: Regulation of proteins synthesis by Amino Acids Availability

Aminoacids supply to the tissues

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