Abstract: The disclosure provides methods for improving the function of systems regimens, devices by identifying, quantifying, and implementing at least one inherent variability pattern which is based on patterns learned from a specific subject or from other subjects including subject's variability patterns, such as, DNA, genes, nucleic acids, RNA, proteins, cells, organs, biological pathway(s), or whole body variability. There are provided herein devices, systems, and methods for real time or delayed altering of the parameters of system's regimens, for improving biological systems functions. Any system used by humans, or affect human function, wherein the parameters are updated using inherent variabilities signatures with and without other individualized patterns from a subject or from other subjects, can increase the accuracy and efficacy of the system for achieving the desired goal.

Abstract: There are provided herein a system and a computer implemented method for preventing, mitigating or treating partial/complete loss of effect of one or more drugs or medical devices administered to or used by a subject in need thereof due to adaptation, tolerance, and/or tachyphylaxis, and/or for preventing, mitigating or treating non-responsiveness to one or more drugs, maximizing therapeutic effect of one or more drugs, or for improving target or non-target organ/organs response to therapy, the system/method include (processing circuit configured to): receiving a plurality of physiological or pathological parameters of the subject; applying a machine learning algorithm on the plurality of physiological or pathological parameters; and determining a subject-specific administration regimen of a drug or a medical treatment, wherein the administration regimen comprises drug administration parameters, cell/tissue/organ stimulation parameters, adjuvant parameters or any combination thereof; wherein the administratio

Abstract: The invention provides methods and systems for the treatment and diagnosis of pathologic disorders by modulating a physiological state of a target biological entity via exposure of the target entity to a single or a plurality of triggered entities and for transferring of information in a non-direct way and as part of virtual reality interactive environment.

Abstract: A gastrointestinal stimulation devices including a random stimulation delivery mechanism(s), configured to provide stimuli to a bodily tissue in a vicinity of the stimulation capsule, the provided random stimuli being characterized by a stimulation parameter, and a control circuitry in communication with said physical stimulation delivery mechanism, and configured to set and alter the stimulation parameter non-systematically, thereby altering the characterization of the stimuli provided to the bodily tissue. The algorithm may be patient tailored, and may have a learning machinery which responds to data being received from the patient.