5 results about "Current medication" patented technology

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.

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.

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.