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4 results about "Activity index" patented technology

Method for predicting risk of recurrence of autoimmune hepatitis after discontinuation of immunosuppressive therapy

ActiveRU2865535C1AutoantibodyElevated igg
FIELD: clinical gastroenterology.SUBSTANCE: intended to predict the risk of relapse of autoimmune hepatitis after discontinuation of immunosuppressive therapy. The patient undergoes a clinical and biochemical examination and the relapse risk probability index is determined using the formula: PI RR = –0.394×(IGA≥ 9) + 1.252×(AT) + 0.915×(a-SLA / LP) + 0.555×(a-LKM1) – 0.692×(IgG norm) + 0.316×(obesity), where PI RR is the prognostic index of recurrence risk; HAI is the histological activity index of more than 9 according to Knodell (binary indicator: HAI ≥ 9 corresponds to the multiplier “1”; HAI < 9 corresponds to the multiplier “0”); AB – the presence of autoantibodies (binary indicator: detection of at least 1 corresponds to the multiplier “1”; absence of autoantibodies corresponds to the multiplier “0”); a-SLA / LP – antibodies to soluble liver / kidney antigen (binary indicator: presence – corresponds to the multiplier “1”; absence – corresponds to the multiplier “0”); a-LKM1 – antibodies to liver and pancreas microsomes (binary indicator: presence corresponds to the multiplier “1”; absence corresponds to the multiplier “0”); IgG – immunoglobulin G (binary indicator: normal Ig G level corresponds to the multiplier “1”; elevated IgG level corresponds to the multiplier “0”); obesity (BMI ≥ 30) – (binary indicator: presence of BMI ≥ 30 corresponds to a multiplier of “1”; BMI < 30 corresponds to the multiplier “0”). With the value of PI RR < 0.93 – low probability of relapse, PI RR > 0.93 – high probability of relapse.EFFECT: increased accuracy in predicting the risk of recurrence of autoimmune hepatitis after discontinuation of immunosuppressive therapy.1 cl, 2 ex
Owner:GOSUDARSTVENNOE BYUDZHETNOE UCHREZHDENIE ZDRAVOOKHRANENIYA GORODA MOSKVY MOSKOVSKIJ KLINICHESKIJ NAUCHNO PRAKTICHESKIJ TSENTR IMENI A S LOGINOVA DEPARTAMENTA ZDRAVOOKHRANENIYA GORODA MOSKVY

EEG-based dementia diagnosis assistance method and device, and EEG-based dementia diagnosis assistance system comprising same

An EEG-based dementia diagnosis assistance device according to the present embodiment comprises: an EEG data preprocessing unit for preprocessing a collected EEG data set of a test subject, the collected EEG data set being divided into time intervals by setting a window length and a shift length; an Hjorth parameter extraction unit for extracting, for each time interval, Hjorth parameters including an activity index, a mobility index, and a complexity index; and a dementia classification unit for classifying the test subject into one from among a Alzheimer's disease (AD) group, a frontotemporal dementia (FTD) group, and a cognitive normal (CN) group on the basis of the extracted Hjorth parameters. Therefore, AD, FTD, and CN subjects can be classified using Hjorth parameters composed of three major indicators of activity, mobility, and complexity through time domain analysis on EEG datasets.
Owner:IND ACADEMIC COOPERATION FOUND KEIMYUNG UNIV

A biomarker combination model for assessing endoscopic activity of pediatric crohn's disease and construction method and application thereof

PendingCN122385867APediatric patientActivity index
The application provides a biomarker combination model for evaluating endoscopic activity of pediatric Crohn's disease and a construction method and application thereof, and belongs to the technical field of biological medicine. + CD69 + The biomarker combination model of the proportion of T cells combined with the level of C-reactive protein can effectively evaluate the endoscopic activity of pediatric Crohn's disease patients through simple peripheral blood detection, avoids the invasiveness, high cost and potential risk of endoscopy, and is particularly suitable for pediatric patients who need frequent monitoring. The model has good diagnostic efficiency and can accurately distinguish patients in the endoscopic active phase from patients in the remission phase, thereby making up for the inconsistency between the clinical activity index and the endoscopic activity. The model provides a simple and objective non-invasive evaluation tool for the treatment decision, efficacy monitoring and long-term follow-up of pediatric Crohn's disease, and has important clinical application value and popularization prospect.
Owner:BEIJING CHILDRENS HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV

Method for evaluating biological activity of flavones based on molecular docking and digestion simulation

PendingCN122449018AProtein targetReference product
The application discloses a flavone bioactivity evaluation method based on molecular docking and digestion simulation, and belongs to the technical field of natural product activity evaluation. After a flavone sample to be measured is subjected to INFOGEST standard in-vitro digestion simulation, small intestine stage product supernatant is collected. The product types and abundance are identified by using liquid chromatography tandem mass spectrometry, and the product is subjected to double-parameter coupling screening of lipid membrane penetration determination and rapid rigid docking pre-screening to determine the main active form. The main active form is subjected to fine semi-flexible molecular docking with intestinal local target proteins to obtain affinity data. Based on a competitive occupation nonlinear model, an activity index is calculated by using the abundance and affinity competition normalized weight of each product to replace simple linear weighting. According to the activity index and reference product threshold comparison, the activity level is divided. The method overcomes the defects of mutual fragmentation of digestion simulation and molecular docking and linear superposition evaluation in the prior art through function coupling and competition correction, and improves the precision of flavone oral activity evaluation.
Owner:LULIANG UNIV