title: Effect model law: an approach for the implementation of personalized medicine.
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.
authors.affiliation: Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France. jean-pierre.boissel@novadiscovery.com.
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: Boissel
authors.affiliation: Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France. riad.kahoul@novadiscovery.com.
authors.forename: Riad
authors.initials: R
authors.lastname: Kahoul
authors.affiliation: Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France. draltan.marin@novadiscovery.com.
authors.forename: Draltan
authors.initials: D
authors.lastname: Marin
authors.affiliation: Novadiscovery SAS, 60 Avenue Rockefeller, Lyon 69008, France. francois.boissel@novadiscovery.com.
authors.forename: François-Henri
authors.initials: FH
authors.lastname: Boissel