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J. Pers. Med. 2013, 3(3), 177-190; doi:10.3390/jpm3030177

Effect Model Law: An Approach for the Implementation of Personalized Medicine

Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France
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Received: 12 July 2013 / Revised: 31 July 2013 / Accepted: 9 August 2013 / Published: 15 August 2013
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Abstract

The effect model law states that a natural relationship exists between the frequency (observation) or the probability (prediction) of a morbid event without any treatment and the frequency or probability of the same event with a treatment. This relationship is called the effect model. It applies to a single individual, individuals within a population, or groups. In the latter case, frequencies or probabilities are averages of the group. The relationship is specific to a therapy, a disease or an event, and a period of observation. If one single disease is expressed through several distinct events, a treatment will be characterized by as many effect models. Empirical evidence, simulations with models of diseases and therapies and virtual populations, as well as theoretical derivation support the existence of the law. The effect model could be estimated through statistical fitting or mathematical modelling. It enables the prediction of the (absolute) benefit of a treatment for a given patient. It thus constitutes the theoretical basis for the design of practical tools for personalized medicine.
Keywords: treatment decision-making; effect model; personalized medicine treatment decision-making; effect model; personalized medicine
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Boissel, J.-P.; Kahoul, R.; Marin, D.; Boissel, F.-H. Effect Model Law: An Approach for the Implementation of Personalized Medicine. J. Pers. Med. 2013, 3, 177-190.

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