Apara

 

dLife leads the new generation of solutions that give response to the Medicine Based on the Evidence taking a step forward to the authentic personalized medicine. Apara is the only Spanish enterprise that researches and develops solutions of biomedical computing and of assistance in making clinical decisions (Patient Decision Aids).

dLife makes possible the doctor to know with a greater level of certainty if a patient, with his/her own characteristics, will respond to a treatment or not before starting it, if it would be beneficial to make any adjustment of his/her dose, if he is going to relapse or even to identify new relations among the indicators of the pathology in question. A possible aim of this decision would be to improve a certain drug and its results.

Through the patient’s perspective

The patient obtains more exact information of his possibilities and the probable implications of every hypothesis about his/her pathology and the treatment to keep. This way, for example, the doctor and the patient can agree on the best treatment to keep on in terms of efficiency opposite to side effects.

The platform dLife contains in its core an effective and predictive engine (based on graphical GPMs probabilistic models) that incorporates the last technological advances in engineering of the decision and of the computation. dLife allows modelling any disease, finding cause-and-effect relations among the medical indicators and determining through probability-based clinical decision-making, which option/action is the best for a certain patient. This way, dLife makes possible a precise and rapid automation of the reasoning.

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dLife allows clinical professionals to increase their precision and the efficiency of the health care in an average of 20%

The benefits of dLife are, among others, the improvement of the patient’s assistance, the improvement of the expectations of the patient, the optimization of sanitary costs or the improvement of the clinical and pharmaceutical research. dLife allows clinical professionals to increase their precision and the efficiency of the health care in an average of 20 %, even when the known evidence is vague.

Any pathology can be modelled by dLife, being especially advisable for those that could produce painful side effects and / or its treatment is very costly.