4 results about "Symptom Cluster" patented technology

The present invention relates to a composition comprising eptinezumab and LuAG09222. This composition may be used, for example, to treat or prevent headache, pain, migraine, cluster headache, or endometriosis.

The present application relates to a method of treating migraine or cluster headache in a human patient, said method comprising administering subcutaneously composition comprising sumatriptan or its pharmaceutically acceptable salt, in an amount equivalent to 3 mg sumatriptan base.

This article discloses a lipid prodrug of bromo-lysergic acid diethylamide (2-bromo-LSD) (2-bromo-lysergic acid diethylamide), which achieves improved pharmacokinetic properties and allows for easier long-term administration to patients. The disclosed lipid prodrug is indicated for the treatment of cluster headaches and mood disorders in human subjects.

This invention belongs to the field of rehabilitation medicine technology, specifically disclosing an intelligent triage assessment system and method for F-S-D symptom clusters in breast cancer chemotherapy patients. The system includes: a multi-dimensional data acquisition module configured to acquire real-time sensory intensity data of the patient for three dimensions: fatigue, sleep disturbance, and depression, and map them into standardized symptom intensity vectors; a dynamic threshold determination module configured to determine whether to enable a fixed threshold or a dynamic threshold, and calculate a personalized dynamic threshold when enabling a dynamic threshold; a core symptom determination module configured to determine the patient's current core symptoms using a recursive decision tree; and a specialized assessment scale loading module configured to retrieve specialized assessment scales for core symptoms from the cloud for the patient to complete, and generate a structured report with severity gradients based on the completion results. This invention eliminates the need for full-scale quantitative assessment, making the testing process more targeted and reducing the workload of the assessment.