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50 results about "Susceptible individual" patented technology

In epidemiology a susceptible individual (sometimes known simply as a susceptible) is a member of a population who is at risk of becoming infected by a disease.

Conditionally replication deficient herpes virus and use thereof in vaccines

ActiveUS20160008458A1Animal cellsAntibody mimetics/scaffoldsHerpesvirus infectionSimian varicella virus
The present invention is directed to a mutated recombinant herpesvirus, e.g., varicella zoster virus (VZV) and simian varicella virus strains or HSV-1 or HSV-2 strains, vaccines containing, and methods for the construction and use thereof to elicit protective immunity in susceptible individuals, wherein the particular herpesvirus is modified to render the virus replication deficient, i.e., the virus substantially or only replicates under defined conditions, by the incorporation of at least one destabilization domain in or fused to a gene essential for herpesvirus replication. The invention particularly relates to the use of the resultant conditionally replication defective herpesviruses, e.g., a mutated VZV strains in vaccine compositions in order to immunize individuals against herpesvirus infection, e.g., in the case of VZV chickenpox and to protect against shingles and zoster, or to prevent the reactivation of VZV or other herpesvirus reactivation and the onset of shingles or another condition relating to the reactivation of another herpesvirus infection, e.g., as a consequence of advanced age, stress, inflammation, drug or other therapy, cancer, or immunodeficiency such as in HIV-AIDS or other diseases resulting in impaired T and / or B cell immunity.
Owner:UNIV OF COLORADO THE REGENTS OF

Method for detecting mycoplasma pneumonia (MP) of sheep

The invention which belongs to the technical field of biological detection relates to a method for detecting MP of sheep and provides the methylation state of CpG islands in an MBL (mannan-binding lectin) gene promoter region related with the MP of sheep and an application thereof. The invention also provides a method for detecting the MP of sheep and concretely relates to the methylation detection of the MBL promoter region and the artificial infection verification. The methylation state detection of the MBL gene promoter region of sheep is carried out through selecting a bisulfite sequencing process, the methylation state and the frequency of each CpG locus in a given region can be accurately detected, three substantially differential CpG methylation loci, CpG3, CpG4 and CpG5, related with the MBL level are found, a case that the MBL level after toxic elimination is lower than the MBL level before the toxic elimination is promoted, and the MBL gene promoter region methylation may be a more substantial characteristic of the MBL level reduction of serum. The method allows the MP infection of sheep and susceptible individuals to be sensitively and accurately detected, and provides complete information and scientific bases for the sheep MBL gene promoter region methylation and the MP infection research of sheep.
Owner:赵宗胜

Influenza prediction system and device for optimizing LSTM (Long Short Term Memory) and LightGBM parameters and storage medium

The invention discloses an influenza prediction system for optimizing LSTM (Long Short Term Memory) and LightGBM parameters. The system comprises an LSTM module, a LightGBM module and a prediction module; the LSTM module is configured to calculate a predicted value n of the number of people infected with influenza in an aggregated group by using LSTM based on historical factor data and external factor data; the LightGBM module is configured to calculate the influenza infection probability of each person in the aggregation group by adopting the LightGBM based on health condition data and surrounding environment data, and an infection probability sequence is obtained by ranking from large to small; the prediction module is configured to select the top n individuals with the highest probability of infecting influenza as high-risk population. The system combines the influenza outbreak trend of the aggregated group with the influenza infection probability of each individual in the group, so that the susceptible individuals in the aggregated group can be accurately predicted; meanwhile, the system adjusts parameters of an LSTM model and a LightGBM algorithm so that the accuracy of a prediction result can be further improved.
Owner:杭州华网信息技术有限公司
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