dLife involves an advance in the personalized medicine having provided an individualized vision of every patient and pathology.
dLife there provides an advanced simulator of patients that offers probabilistic and predictive results very precise on the evolution of every patient affected by any pathology, the result of applying a treatment or the optimization of it.
Effective and predictive engine
dLife includes an effective, robust and scalable engine of predictive intelligence, called dLife Server, which possesses the capability of sharing models:
- Concurrence
- Just one installation per hospital
- Privacy
dLife Server is capable of monitoring dozens of pathologies and thousands of patients who can be distributed in several hospitals.
Evaluation of alternatives
In collaboration with the Modelization of Pathologies and with that of protocols, dLife permits to advance and to communicate to the doctor the evaluation of the best potential actions on each one of the patients before initiating the consultation or during the course of it.
Depending on the guidelines that the therapeutic protocol indicates for the patient’s pathology, on the characteristics and biological particular indicators of the patient and on the predictive model of the pathology, dLife is capable of analyzing the different possible options and quantifying probabilistically the result of its patient choice.
Thus, the doctor can know in advance the probable result of optimizing and personalizing the dose of a treatment for a patient, according to the specifications of the protocol and those of the medicament, if he is going to respond positively or if he is going to suffer a relapse.
Optimizer of variables
dLife offers superior predictive capacities when the value of a variable-aim or of a set of variables-aim tries to be optimized depending on the others, in the area of a predictive model of pathology and for a particular patient.
This function is very useful in those scenes where, for instance, one tries to optimize the doses of an aggressive treatment minimizing the side effects on the patient.