Patent classifications
G16H20/10
Transdermal Sedative Release Control in Autonomous Imaging
The present invention relates to a system and method for controlling transdermal and automatic release of a sedative during imaging of a subject. A sedation level of a patient is detected during an imaging procedure. An amount of sedative to be applied to the patient to sustain a certain level of sedation is calculated. Further, a time for releasing the amount of the sedative is calculated. The calculated amount of the sedative is released at the calculated time transdermally to the patient.
OPTICAL BASED METHODS FOR DETERMINING ANTIMICROBIAL DOSING REGIMENS
An optical based method determines the most clinically effective antimicrobial agent treatment for a subject afflicted with a microbial infection, including those subjects that have developed resistance to said microbial agents. The provided method is based on the ability to discriminate between live and dead microbes growing in a culture medium.
OPTICAL BASED METHODS FOR DETERMINING ANTIMICROBIAL DOSING REGIMENS
An optical based method determines the most clinically effective antimicrobial agent treatment for a subject afflicted with a microbial infection, including those subjects that have developed resistance to said microbial agents. The provided method is based on the ability to discriminate between live and dead microbes growing in a culture medium.
CANCER TREATMENT METHOD AND MEDICINE
The present disclosure provides a composition, a combination product, a medical device and the like for treating or preventing cancer or a tumor or preventing the recurrence of the cancer or the tumor. The present disclosure provides a composition, a combination product and a medical device for treating or preventing cancer or a tumor or preventing the recurrence of the cancer or the tumor, each of which comprises an immune checkpoint inhibitor and a dendritic cell direct activator or means. In another aspect, the present disclosure provides: a novel cancer treatment method which comprises carrying out a treatment of cancer by employing a combination of a treatment by the administration of an immune checkpoint inhibitor and a treatment for improving the sensitivity to the immune checkpoint inhibitor and, therefore, can be used as an immunotherapy that can be expected to have an excellent therapeutic effect; and a medicine which can be used for the cancer treatment method.
METHOD AND DEVICE FOR PROVIDING CUSTOMIZED SOLUTION FOR IMPROVING INTESTINAL ENVIRONMENT
A method for providing a personalized solution for improving an intestinal environment based on a postbiotic-based health index includes receiving registration of a kit for collecting a sample from a user device; calculating a postbiotic-based health index of at least one culture in which the sample is treated with at least one intestinal environment-improving candidate material; and recommending at least one product for improving an intestinal environment, including the at least one intestinal environment-improving candidate material based on the postbiotic-based health index of the at least one culture.
DEVICE FOR DETECTION OF CELLULAR STRESS
Disclosed is an assay for determining resistance in a target cell or tissue to a therapy associated with cellular stress using chemical microscopy and high-throughput single cell analysis to determine functional metabolic alteration, including determining metabolic reprogramming in a target cell or tissue to a therapy associated with cellular stress, and methods of using the assays.
DEVICE FOR DETECTION OF CELLULAR STRESS
Disclosed is an assay for determining resistance in a target cell or tissue to a therapy associated with cellular stress using chemical microscopy and high-throughput single cell analysis to determine functional metabolic alteration, including determining metabolic reprogramming in a target cell or tissue to a therapy associated with cellular stress, and methods of using the assays.
METHODS AND SYSTEMS FOR MANAGING PRESCRIPTIONS
Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.
METHODS AND SYSTEMS FOR MANAGING PRESCRIPTIONS
Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.
METHOD OF MAPPING PATIENT-HEALTHCARE ENCOUNTERS AND TRAINING MACHINE LEARNING MODELS
A predictive patient health machine learning model is trained based on baseline health data configured as directed graphs. Patient-healthcare system encounter data formed at least in part by electronic medical records (EMRs) is gathered. The patient-healthcare system encounter data is configured as directed graphs to generate graphed health data and the predictive patient health machine learning model is trained on that graphed health data.