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<strong>Let's work together to unravel the mystery of Alzheimer's Disease.</strong>
<strong>Advances biomedical science through integrating knowledge with quantitative models.</strong>


"A full comprehension of the causes of a deadly disease is the essential prerequisite to find a cure."
This project aims to formalize and connect existing knowledge into predictive, multiscale modelling frameworks that can be evaluated against measurable data.
<ref>
Behl, Christian. Alzheimer’s Disease Research: What Has Guided Research So Far and Why It Is High Time for a Paradigm Shift (p. 6). Springer International Publishing. Kindle Edition.
</ref>
To find a cure for the disease, to find a disease changing medication, we must first understand the causal mechanisms at the origins of the disease, the aetiology. We currently have many hypotheses about potentially relevant mechanisms in a causal chain, but it should be emphasized that we have no hypothesis about the primary origin. This should be contrasted with the situation for many other diseases. For sickle cell anemia we know the point mutation of this genetic disease. For the infectious disease AIDS, the primary cause is HIV, the human immunodeficiency virus. For various cancers, the origin is a set of mutations in a set of genes. In the Alzheimer's disease literature, this distinction between <i>primary cause</i> and relevant <i>causal mechanism in a causal chain</i> is lacking. Let's call hypotheses about the later [[non-primary mechanism hypotheses]] to be clear on this point.


== Mission ==
Our goal is to integrate biological knowledge through computational modeling
to understand disease mechanisms.
== Approach ==
* Integrate published knowledge
* Develop quantitative mechanistic models
* Compare predictions with observations
{| class="wikitable" style="background:#f8f9fa; border:1px solid #a2a9b1; padding:8px; width:85%;"
|-
| '''How to Contribute'''
Contributions are welcome from scientists with different backgrounds. Biologists and clinicians can help ensure that models remain grounded in experimental observations, while biophysicists and computational scientists can assist in translating mechanistic ideas into formal models.
Contributors are invited to contact the site's founder ([mailto:robert.scott@univ-brest.fr robert.scott@univ-brest.fr]) or edit the pages directly as on Wikipedia.
|}
== Disease Programs ==
* [[Alzheimer's Disease]]
* [[Carcinogenesis]]
* (future diseases)


== Getting started ==
== Getting started ==

Latest revision as of 11:35, 15 March 2026

Advances biomedical science through integrating knowledge with quantitative models.

This project aims to formalize and connect existing knowledge into predictive, multiscale modelling frameworks that can be evaluated against measurable data.


Mission

[edit | edit source]

Our goal is to integrate biological knowledge through computational modeling to understand disease mechanisms.

Approach

[edit | edit source]
  • Integrate published knowledge
  • Develop quantitative mechanistic models
  • Compare predictions with observations
How to Contribute

Contributions are welcome from scientists with different backgrounds. Biologists and clinicians can help ensure that models remain grounded in experimental observations, while biophysicists and computational scientists can assist in translating mechanistic ideas into formal models.

Contributors are invited to contact the site's founder (robert.scott@univ-brest.fr) or edit the pages directly as on Wikipedia.

Disease Programs

[edit | edit source]

Getting started

[edit | edit source]

WikiMaladie uses MediaWiki, the same software that runs WikiPedia. Consult the User's Guide for information on using the wiki software.


Notes

[edit | edit source]
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