12 results about "Current medication" patented technology

Systems and methods of optimizing glucose medication dosages are based on modeling a patient's glucose lowering response using historical glucose data. The model is actively updated to account for changes in the patient's medication treatments and physiological conditions based on real-time or near real-time glucose measurements from the patient. The system can analyze various dosages of insulin based on the patient's current therapy and the model to determine an optimized dosage. Also disclosed is a system and method for retrieving a patient's current medication therapies from medical records using an automated system. Also disclosed are methods of implementing remotely-updatable limitations for medication optimization algorithms.

The utility model provides a medicine oscillator, and belongs to the technical field of medical instruments. The medicine oscillator solves the problems that an existing medicine oscillator is loud in noise, secondly, due to the fact that a mechanical driving mode greatly abrades parts, the service life of the medicine oscillator is short, and the mechanical driving motion freedom degree is low, the oscillation mode is single, medicine is not completely dissolved, and the medicine dissolving time is long. A medicine oscillator comprises an oscillation main machine, a movable oscillation plate is installed in the oscillation main machine, the oscillation plate is used for fixing medicine liquid, and the oscillation main machine drives the oscillation plate to generate vibration through electromagnetic force. The device has the advantages of low noise, small abrasion, long service life, high degree of freedom of motion and diversified oscillation modes.

The invention provides a doctor-side diagnosis and treatment system based on medical defense fusion digital-intelligent chronic disease management, and belongs to the technical field of medical management systems, and the doctor-side diagnosis and treatment system based on medical defense fusion digital-intelligent chronic disease management comprises the steps that a patient swipes a card before diagnosis, and a medical care checks patient filing, signing, follow-up visit conditions and sign data; performing risk assessment on hypertension and diabetes mellitus according to the previous definite diagnosis condition or the condition obtained through the physical sign examination, and performing hypertension and diabetes mellitus follow-up visit and appointment physical examination according to the risk assessment result; an outpatient doctor checks a pre-diagnosis physical sign examination result and historical follow-up visit, outpatient service and physical examination records through a doctor assistant, the system generates a current medication suggestion, an examination suggestion and health guidance according to an evaluation result, and the doctor gives a final diagnosis and treatment scheme after reference; the invention provides a doctor-side diagnosis and treatment system based on medical defense fusion digital intelligence chronic disease management, and the system can grade the risk degree of chronic diseases, thereby effectively providing follow-up visit for patients.

Omeprazole is used as a widely applied proton pump inhibitor and is mainly used for treating various diseases caused by hyperacidity, such as gastric ulcer, duodenal ulcer, reflux esophagitis and the like. The invention relates to a novel application of a commercially available medicine omeprazole, namely the omeprazole has remarkable anti-aging activity. The research on model organism caenorhabditis elegans finds that omeprazole can significantly prolong the life of nematodes. Specifically, when the nematodes are cultured in culture media containing 1.6 mg / mL omeprazole and 3.2 mg / mL omeprazole, the service lives of the nematodes are prolonged by 47.80% and 61.51% respectively, and the effect is extremely rare in current drug research.

Chronic intractable pain is a global health issue, highlighting the need for a potent μ-agonist analgesic with minimal major side effects. Intrathecal administration of β-endorphin in humans produces significant analgesia without respiratory depression or tolerance. Earlier animal studies concluding that chronic administration of β-endorphin results in tolerance and respiratory depression may not be applicable to humans due to differences between human and animal μ-receptors and β-endorphins. It is anticipated that β-endorphin functions as a GPCR biased ligand, similar to ligand binding in endocrinopathies that do not usually produce tolerance. Ester prodrugs of β-endorphin are predicted to cross the human blood-brain barrier (BBB), undergo hydrolysis to β-endorphin and a non-toxic metabolite, and provide substantial analgesia with low toxicity and without major side effects. The synthesis of lead prodrugs is described. Compared to current pharmaceutical development expenditures, the risks associated with this research are considered low.

Omeprazole, as a widely used proton pump inhibitor, is mainly used for the treatment of various diseases caused by excessive gastric acid, such as gastric ulcer, duodenal ulcer and reflux esophagitis. The present application relates to a new use of a commercially available drug omeprazole, i.e. it has significant anti-aging activity. The present application found that omeprazole can significantly prolong the life of nematodes through research using model organisms Caenorhabditis elegans. Specifically, when the nematodes are cultured in a medium containing 1.6 mg / mL and 3.2 mg / mL omeprazole, their life is prolonged by 47.80% and 61.51% respectively, which is extremely rare in current drug research.

Systems and methods of optimizing glucose medication dosages are based on modeling a patient's glucose lowering response using historical glucose data. The model is actively updated to account for changes in the patient's medication treatments and physiological conditions based on real-time or near real-time glucose measurements from the patient. The system can analyze various dosages of insulin based on the patient's current therapy and the model to determine an optimized dosage. Also disclosed is a system and method for retrieving a patient's current medication therapies from medical records using an automated system. Also disclosed are methods of implementing remotely-updatable limitations for medication optimization algorithms.

The invention provides a visual management method and system for anesthesia information, and relates to the technical field of medical information, and the method comprises the steps: responding to an input instruction of a user, and collecting current anesthesia information; the current anesthesia information comprises a current anesthetic used by a current patient; generating current medication information in combination with the original medication information corresponding to the current anesthetic and / or the operation instruction of the user; in response to a confirmation instruction of the user, visually displaying the current medication information on a target page; specifically, the method comprises the following steps: constructing current display information corresponding to a current anesthetic; updating a medicine display area in the current display information in combination with the current anesthetic medicine and the medicine classification features; updating a time period display area in the current display information based on the time feature; the dose display area in the current display information is updated based on the operation characteristics, and the medication data is dynamically updated in a visualized manner, so that the management efficiency and accuracy are improved, and the medical care operation experience is optimized.

A computer-implemented method, system, and apparatus for providing interactive and analytical components that provide a comprehensive and dynamic tool for therapies to prevent and cure dementia-related diseases. The invention includes one or more computers that receive and store personal information for people, including personal background information, pre-existing conditions, current medications, genomic data and diagnostic information. The computers also generate synergic data containing compounded probability data specifying an expected adjustment of individual biological mechanisms from particular combinations of therapies. For each person, the computers process personal information and identify a subset of biological mechanisms that are principally affected by dementia-related diseases or the substantial risk of dementia-related diseases. The computers also apply the personal information including the principally-affected biological mechanisms to the therapy data and generate for each person one or more messages communicating a therapy plan containing a combination of therapies and determines how to apply the therapies.

The invention provides a personalized medication guidance method, device and system, and relates to the technical field of artificial intelligence, the method comprises the following steps: obtaining medication basic data of a medication object, the medication basic data comprising individual basic information and prescription data; dynamically selecting a large language model from a plurality of preset large language models according to the medication basic data and the medication scene to which the medication basic data belong, and generating current medication guidance information; performing quality evaluation and pharmacist auditing on the current medication guidance information to obtain a current evaluation result; and determining target medication guidance information according to the current review result. In this way, according to the individual basic information and prescription data, highly personalized medication guidance can be generated, and deep personalization is achieved; intelligent medication reasoning and content generation are realized by using a large language model based on medication scene dynamic selection; and through multiple mechanisms of quality evaluation and pharmacist auditing, the specialty, the accuracy and the normalization of the content are ensured, so that the generation quality is ensured.

This invention discloses a knowledge graph-based method, system, and medium for epilepsy data processing, relating to the technical field of epilepsy data processing. The method includes the following steps: acquiring current clinical data, including current medication data and current flow cytometry immunoassay data; using an epilepsy data processing model based on the current clinical data to make predictions and obtain the predicted probability of immune risk level. The knowledge graph-based epilepsy data processing method of this invention utilizes an epilepsy data processing model as an artificial intelligence model to accurately predict the probability of a patient's immune risk level, providing a reference for clinical treatment. This solves the technical problem that existing methods for providing data references for epilepsy detection and identification do not eliminate the masking interference of epilepsy drugs on flow cytometry data, resulting in low accuracy of the provided epilepsy detection reference.

The present invention relates to an intelligent medication reminder device, comprising a housing, a drawer box, a microcontroller module, and a lid control module and a speaker module connected to the microcontroller module; the housing has a medicine box cavity capable of accommodating the drawer box; the drawer box comprises a box body and a lid, the box body being divided into a plurality of medicine bins with openings, a first magnetic member being fixed at the opening of the medicine bin, and a lid having a corresponding shape and being ferromagnetic or magnetic being provided at the opening of each medicine bin; the medicine bin lid being fixed by magnetic adsorption of the first magnetic member; when the drawer box is correctly placed in the medicine box cavity and a preset medication condition is met, the microcontroller module controls the speaker module to emit a sound effect reminding the user to take the medicine, and controls the lid control module to start working and adsorb the lid of the medicine bin corresponding to the current medication time. The beneficial effect of the present invention is that it can remind the patient at the medication time, and at the same time, when the patient takes the medicine, only the medicine in the medicine bin corresponding to the current medication can be taken out, thereby avoiding the phenomenon of missed or wrong medication.