Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

87 results about "Orciprenaline" patented technology

Metaproterenol is used to treat wheezing and shortness of breath from lung problems (e.g., asthma, chronic obstructive pulmonary disease, bronchitis, emphysema).

1-(1h-indol-1-yl)-3-(4-methylpiperazin-1-yl)-1-phenyl propan-2-ol derivatives and related compounds as modulators of the norepinephrine(NE) and the serotonine(5-HT) activity and the monoamine reuptake

The present invention is directed to phenylaminopropanol derivatives of formula (I): or a pharmaceutically acceptable salt thereof; wherein: the dotted line between Y and Z represents an optional double bond; the dotted line between the two R4 groups represents an optional heterocyclic ring of 4 to 6 ring atoms that may be formed between the two R4 groups, together with the nitrogen through which they are attached; Y is N, CR6, or C=O; Z is N, CR7, CR5, or C(R5)2; R2 is aryl substituted with 0-3 R1 or heteroaryl substituted with 0-3 R1; R3 is H or C1-C4 alkyl; n is an integer form 0 to 4; x is an integer from 1 to 2; and the other substituents are defined in the claims; compositions containing these derivatives, and methods of their use for the prevention and treatment of conditions ameliorated by monoamine reuptake including, inter alia, vasomotor symptoms (VMS), sexual dysfunction, gastrointestinal and genitourinary disorders, chronic fatigue syndrome, fibromylagia syndrome, nervous system disorders, and combinations thereof, particularly those conditions selected form the group consisting of major depressive disorder, vasomotor symptoms, stress and urge urinary incontinence, fibromyalgia, pain, diabetic neuropathy, and combinations thereof.
Owner:WYETH LLC

Death prediction method and system for sepsis-related acute kidney injury patient, equipment and medium

The embodiment of the invention provides a death prediction method and system for a sepsis-related acute kidney injury patient, equipment and a medium, and belongs to the technical field of medical care information. The method specifically comprises the steps of training an XGBOOST algorithm through a sample data set, and establishing a prediction model; collecting the urine volume, the maximum value of urea nitrogen, the noradrenaline injection rate, the maximum value of anion gap, the maximum value of creatinine, the maximum value of red blood cell distribution width, the minimum value of international standardization ratio, the maximum value of heart rate, the maximum value of body temperature, the minimum value of oxygen uptake fraction, the stroke state, the minimum value of creatinine, the minimum Glasgow coma scale and a diabetes state of a target person; and inputting the key information data set into a prediction model to obtain a prediction result. According to the scheme, the machine learning algorithm is used for learning, the prediction model is established, then the collected key information data set is input into the prediction model, the prediction result is obtained, and the prediction efficiency and accuracy are improved.
Owner:XIANGYA HOSPITAL CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products