92 results about "Pancreatitis" patented technology

The invention discloses a DKA combined AP risk prediction model based on multi-index fusion, a medium and equipment, and relates to the technical field of medical health and artificial intelligence, and the risk prediction model comprises a preprocessing unit which is used for carrying out the standardization processing of basic data and clinical data of a diabetic ketoacidosis patient, the clinical data comprises stomachache symptoms, C reactive protein level and serum lipase level; the screening unit is used for screening the basic data according to an exclusion mechanism; the data integration unit is used for obtaining the probability of occurrence of DKA and AP events by combining the following formula according to the screening result: Q = 1 / (1 + e-(beta0 + beta1 * stomachache + beta2 * CRP + beta3 * LPS)); and the output unit is used for outputting the probability calculated by the data integration unit as a result. Under the emergency treatment scene, the risk of acute pancreatitis complicated by the diabetic ketoacidosis patient can be rapidly evaluated, and a good preposed basis is provided for clinical decision making.

The invention discloses a pancreatitis severity assessment method based on layered reliable evidence fusion, which comprises the following steps of: constructing a layered reliable evidence fusion model, and sequentially executing three stages of multi-view evidence generation, opinion mapping and opinion fusion: generating an image based on image and clinical data, and clinical and pseudo-view evidence, mapping the opinions into subjective logic opinions containing belief quality and uncertainty, and finally fusing all the opinions by using a logarithmic opinion pool fusion algorithm to generate final fused opinions; then training the layered reliable evidence fusion model based on the training set; then testing, and evaluating the acute pancreatitis severity degree of the patient corresponding to the test sample according to the belief quality of each category in the final fusion suggestion corresponding to the test sample; the method has the advantages that multi-source information can be effectively coordinated, evidence conflicts are converted into uncertainty, an accurate and reliable severity degree evaluation result is output according to belief quality in fused opinions, and powerful support is provided for clinical decision making.

The invention relates to the technical field of medical auxiliary instruments, in particular to a rehabilitation auxiliary device for patients with severe acute pancreatitis, which comprises a device main body, a support adjusting module and a nursing auxiliary module are mounted on the device main body, and a main driving unit is mounted in the device main body. The support adjusting module comprises a trunk support, an abdomen support and a lower limb support which are hinged in sequence, and monitoring assemblies are mounted on the trunk support, the abdomen support and the lower limb support; the main driving unit is in signal connection with a control module, and the control module is used for controlling the main driving unit to perform independent or cooperative angle adjustment on the supporting adjustment module according to the real-time state data of the monitoring assembly; the nursing auxiliary module comprises a flow guide cleaning structure which is detachable from the supporting and adjusting module, the flow guide cleaning structure is used for directionally guiding nursing waste liquid, and the flow guide cleaning structure is automatically unfolded or folded according to the body position change of the supporting and adjusting module. Through multi-module linkage and intelligent control, the risks of abdomen compression, pressure sores, lower limb venous thrombosis and the like are effectively avoided.

The invention provides a pancreatitis patient abdomen mirabilite fixing structure, and belongs to the field of medical instruments. Comprising a sealing box body, the interior of the sealing box body is hollow, a notch is formed in the outer surface of the lower end of the sealing box body in a penetrating mode, a cotton bag used for storing mirabilite is arranged on the lower side of the inner surface of the sealing box body, and the outer surface of the lower end of the cotton bag penetrates to the outer side of the sealing box body through the notch; a folding groove is formed in the outer surface of the upper end of the sealing box body in an embedded mode. By arranging the air guide assembly, the mounting hole is communicated with the air guide pipe through the through hole, and one end of the air guide pipe extends to the outer side of the sealing box body, so that air can flow among the air guide pipe, the through hole and the mounting hole, and air circulation can be realized to a certain extent; and therefore, the probability of contact dermatitis caused by the storage bag in the frequent use and application process can be effectively reduced, and the discomfort of the mirabilite fixing device in the use process can be effectively relieved.

The invention relates to the technical field of doctor-patient communication, in particular to an acute pancreatitis doctor-patient communication risk management system based on interactive data analysis, which comprises a patient condition dynamic database, a condition deterioration prediction module, a communication closeness evaluation module and a resource dynamic allocation module, the storage module is used for storing patient physiological indexes, behavior data and medical records; the condition deterioration prediction module is used for predicting the condition deterioration probability of a patient, identifying a high-risk time period and guiding resource pre-allocation; the communication closeness evaluation module is used for quantifying the communication demand closeness between the patient and the medical team and generating a patient priority; and the resource dynamic allocation module is used for automatically allocating resources according to the predicted deterioration probability and the patient priority.

The invention discloses an adjustable external application bellyband based on pancreatitis, and belongs to the field of medical instruments, the adjustable external application bellyband comprises a medicine application section, a bandage and a connecting assembly, and the connecting assembly is located on one side of the medicine application section and used for being connected with the bandage; the adjusting assembly is used for adjusting the tightness degree of the bandage according to the waistline size, the abdominal swelling degree and the comfort degree of the patient, and it is ensured that the bellyband can stably wrap the abdomen without generating too tight pressure feeling; then the pressure of the affected part corresponding to the medicine application section is adjusted in a targeted mode through an adjusting assembly in the medicine application section, and the situation that due to too small pressure, a medicine bag is not tightly attached, the medicine effect is lost, or due to too large pressure, pain of a patient is caused, and local blood circulation is affected is avoided; finally, an abutting assembly on an adjusting assembly mounting frame is matched with a clamping assembly, the medicine bag is firmly connected to the pancreatitis affected part in an abutting mode, it is guaranteed that the medicine bag is in tight contact with the skin all the time, and stable conditions are provided for medicine ingredient permeation and treatment effect exertion.

The invention provides an acute pancreatitis intestinal micro-ecological marker and application thereof, and belongs to the technical field of disease diagnosis. According to the method, 20 intestinal microbe markers with differential expression are screened based on samples of acute pancreatitis patients and healthy people, an acute pancreatitis prediction model is constructed by adopting a random forest model, and results show that the method has relatively high prediction accuracy, and the AUC value is 0.98. The acute pancreatitis intestinal micro-ecological marker and the constructed prediction model thereof can be used for early diagnosis of clinical acute pancreatitis.

The invention relates to the technical field of medical data processing, in particular to a multi-modal data fusion diabetes risk prediction system after acute pancreatitis, and the method comprises the steps: obtaining the feature data and treatment indexes of each dimension of a target patient and a plurality of reference patients after acute pancreatitis; obtaining a weighted similarity index according to the difference between the feature data of the target patient and the feature data of each reference patient in the same dimension; according to the treatment index of each reference patient and the distribution difference of the overall reference patients, a boundary feature length is obtained in combination with weighted similar indexes; fitting the treatment indexes of the reference patients whose diagnosis time lengths are greater than the demarcation characteristic length and less than or equal to the demarcation characteristic length respectively to obtain a pancreas islet compensation function curve; and obtaining a diabetes risk prediction result of the target patient according to a deviation condition between the treatment index of the target patient and the pancreas islet compensation function curve. According to the invention, the accuracy of the risk prediction result of the patient in the compensatory state is good.

The invention discloses a novel plasma extracellular vesicle long-chain RNA (Ribonucleic Acid) analysis and cancer early diagnosis method, relates to the technical field of cancer biomarkers and classified biology, and is used for carrying out early diagnosis and prediction on PDAC based on plasma EVs long-chain RNA (EvlRNA). According to the method, a two-layer classifier is established, the first layer identifies abnormal and normal samples, and the second layer identifies whether the samples belong to PDAC or CP; according to the invention, a new concept, namely EvlRNA-Index, is provided for the first time, a cancer diagnosis model is established based on the EvlRNA-Index, and a good diagnosis effect is achieved. According to the research, the interpretability of a whole machine learning framework is researched and discussed, close association between important characteristics and an actual biological process is explored, 49 PDAC cancer related genes are identified and obtained, and important help is provided for biomedical researchers to understand a model.

The invention discloses an acute pancreatitis early stage grading prediction method comprising the following steps: S1, collecting CT image data of AP patients with different clinical conditions and different equipment sources, and carrying out resampling standardization processing; s2, inputting the CT image into the trained and optimized nnU-Net model, automatically segmenting a pancreas region, and generating a pancreas segmentation mask; s3, extracting multi-dimensional image features by using a radiomics tool, and screening out key prediction features by using a feature screening algorithm; and S4, inputting the screened key prediction features into a pre-trained machine learning model, and outputting a risk prediction result of the patient and a corresponding evaluation index. A pancreas area is automatically segmented by an nnU-Net model, multi-dimensional image features are extracted from a CT image corresponding to a pancreas segmentation mask by using a radiomics tool, objectivity and consistency of feature extraction are ensured, key prediction features are screened out by using a feature screening algorithm, a scientific basis is provided for early recognition and risk assessment of SAP, clinical decision is assisted, and the risk assessment efficiency is improved. The survival rate of the patient is improved.

The application provides a plasma exosome marker and application for early diagnosis of pancreatic cancer, utilizes a metabolomics and proteomics method, analyzes metabolites and proteins with significant differences in exosomes separated from plasma of pancreatic cancer patients, pancreatitis patients and normal persons, screens a series of biomarkers capable of early indicating a pancreatic cancer occurrence risk, and further screens a group of biomarkers to construct a pancreatic cancer diagnosis model, so that the pancreatic cancer diagnosis model can be used for conveniently and efficiently predicting whether an individual is suffering from pancreatic cancer, and meets clinical requirements.

The application relates to the technical field of medical artificial intelligence, and particularly discloses an acute pancreatitis chronicity risk prediction system and method and a storage medium, the system comprises a parameter acquisition module, a model training module, a risk prediction module, a risk stratification module, an AI analysis module and an interface interaction module, the parameter acquisition module is used for acquiring clinical parameters and enhanced variables of a target patient; the model training module is used for constructing a risk prediction model and an enhanced risk prediction model; the risk prediction module is used for predicting a prediction risk probability of the target patient in chronic pancreatitis after being discharged from hospital; the risk stratification module is used for dividing the target patient into a low-risk group, a medium-risk group or a high-risk group, and generating a risk stratification result; the AI analysis module is used for generating a clinical interpretation report; and the interface interaction module is used for displaying the prediction risk probability, the risk stratification result and the clinical interpretation report, so that high-risk patients with chronic pancreatitis can be effectively identified at an early stage, and a personalized follow-up scheme can be assisted in being formulated.

The application discloses an acute pancreatitis complication evaluation method based on artificial intelligence and belongs to the medical information technology field, and specifically comprises the following steps: firstly, a clinical data set containing real-time clinical indexes and basic disease history records is acquired; subsequently, time series analysis is performed on the basic disease history records, long-term influence features are extracted, and basic disease influence factors are generated; then, the real-time clinical indexes and the basic disease influence factors are subjected to standardization treatment, a comprehensive feature vector is generated after the correlation weight between features is calculated; then, the vector is input into a trained artificial intelligence evaluation model, a complication risk probability is output through layer-by-layer nonlinear transformation; finally, the risk probability value is mapped into a risk grade, patient information is integrated to generate a structured risk evaluation report; and an acute pancreatitis complication evaluation scheme fusing acute phase indexes and chronic basic disease influences is established.

The present invention provides the use of pyruvate in the treatment of lipodystrophy syndrome, belonging to the technical field of endocrine and metabolic disease treatment. This invention proposes for the first time the use of pyruvate, such as sodium pyruvate and potassium pyruvate, in the treatment of lipodystrophy syndrome. It has been found that pyruvate can restore atrophic adipose tissue and improve the progression of diabetic complications and acute pancreatitis associated with hypertriglyceridemia, thereby increasing patient survival and improving overall prognosis.

The compositions and methods provided herein are related, in part, to the discovery of cholic acid 7-sulfate as a treatment for diabetes. Provided herein is a method for treating a metabolic disorder (e.g., diabetes, obesity), or an inflammatory disease (e.g., Crohn's disease, inflammatory bowel disease, ulcerative colitis, pancreatitis, hepatitis, appendicitis, gastritis, diverticulitis, celiac disease, food intolerance, enteritis, ulcer, gastroesophageal reflux disease (GERD), psoriatic arthritis, psoriasis, and rheumatoid arthritis) in a subject in need thereof comprising administering to a subject a compound of Formulae (I)-(XVII).

The invention relates to the technical field of puncture path planning, in particular to a puncture path planning method for abdominal puncture drainage of severe acute pancreatitis. Firstly, a CT image and an MRI image are fused to construct an abdominal cavity three-dimensional model, tissue areas (an organ area, a blood vessel area and a focus area) are obtained through segmentation, and candidate paths are generated based on a target position and a preset body surface approach point; then, calculating a risk coefficient based on geometric features (including an included angle, a length and proximity to a tissue region) of the candidate path, and screening a preliminary optimal path; determining a puncture body position and a gravity component direction by combining a sagittal plane / coronal plane position relationship, analyzing tissue density distribution, and quantifying a tissue deformation interference index; finally, the risk coefficient and the deformation index are fused, re-screening of the paths is achieved, the optimal and alternative paths are determined, and therefore key tissue structures can be effectively avoided, the intraoperative displacement risk is reduced, and puncture accuracy and stability are improved.

The application belongs to the technical field of medicines, and particularly relates to a pirfenidone co-crystal, a preparation method thereof, a pharmaceutical composition and application. The pirfenidone co-crystal is prepared from pirfenidone and a co-crystal ligand, and the co-crystal ligand is selected from one of heptanedioic acid, cinnamic acid and saccharin. The pirfenidone co-crystal can not only improve the effect of pirfenidone in relieving acute pancreatitis, but also improve the safety of pirfenidone.

The present invention relates to a novel ALPK1 inhibitor of formula (I), or a pharmaceutically acceptable salt, stereoisomer, tautomer, stable isotope variant, prodrug or crystalline form thereof. The invention also relates to pharmaceutical compositions comprising said novel ALPK1 inhibitors and their use in the treatment of inflammatory related diseases, such as ROSAH syndrome, inflammatory bowel disease (IBD), NASH, gout, diabetes, chronic kidney disease, pancreatitis, Kawasaki disease, inflammatory skin diseases and neurodegenerative diseases including Alzheimer's disease. # imgabs0 #

The invention discloses an internal reference tissue correction method and system for virtual magnetic resonance elastography of acute pancreatitis, relates to the technical field of medical image processing and quantitative evaluation, and discloses the internal reference tissue correction method and system for virtual magnetic resonance elastography of acute pancreatitis. According to the method, the problems of numerical discreteness and deviation in virtual magnetic resonance elastography of acute pancreatitis are solved by automatically identifying internal reference tissues, calculating correction coefficients, correcting elasticity values in a partitioned manner and generating a structured report, and the repeatability of pancreatic hardness measurement and cross-equipment and cross-time-point data comparability can be improved.

The present disclosure relates to heterogeneous cell compositions derived from canine or feline uterine tissue and methods of producing and use thereof. In some aspects, the heterogeneous cell compositions comprise a mixture of mesenchymal progenitor cells and epithelial progenitor cells. In some aspects, the heterogeneous cell compositions are used as an autologous or allogeneic treatment for the treatment of diseases such as chronic kidney disease, atopic dermatitis, immune mediated arthritis, hepatitis, liver disease, inflammatory bowel disease, osteoarthritis, intravertebral disc disease, keratoconjunctivitis sicca (dry eye), pancreatitis, fibrosis, sclerosis, amyloidosis, immune mediated polyarthritis or wounds in canines and felines.

This invention relates to the field of medical data processing technology, specifically to a multimodal data fusion system for predicting diabetes risk after acute pancreatitis. The system includes: acquiring feature data and treatment indices for each dimension of the target patient and several reference patients after acute pancreatitis; obtaining a weighted similarity index based on the differences in feature data between the target patient and each reference patient in the same dimension; obtaining a cutoff feature length based on the treatment index of each reference patient and the overall distribution differences of the reference patients, combined with the weighted similarity index; fitting the treatment indices of reference patients whose diagnosis time is greater than or less than or equal to the cutoff feature length to obtain pancreatic islet compensation function curves; and obtaining the diabetes risk prediction result for the target patient based on the deviation between the target patient's treatment index and the pancreatic islet compensation function curves. This invention shows better accuracy in predicting the risk of patients in a compensated state.

This invention belongs to the field of biomedical technology and discloses a bile acid-based predictive model for the severity of acute pancreatitis, its detection method, and its application. This invention establishes a combination of biomarkers that accurately reflect the pathological changes of acute pancreatitis by performing targeted metabolomics analysis on multiple small bile acid metabolites in serum, and further constructs a predictive model suitable for early clinical warning and severity stratification. This invention also provides a corresponding detection method for rapid and quantitative detection of the bile acid metabolites, enabling early identification and auxiliary diagnosis of severe acute pancreatitis.

Methods of using pulsed focused ultrasound (pFUS) therapy to treat pancreatic disorders such as type 1 diabetes, pancreatitis, and pancreatic cancer are provided. The methods utilize pulsed focused ultrasound (pFUS) therapy either by itself or in combination with islet transplantation and / or stem cell therapy to promote regeneration of damaged pancreatic tissue, increase insulin secretion in response to glucose, or improve engraftment and revascularization of transplanted islets or beta cells. Additionally, methods of using pFUS are provided for modulating paracrine secretion in the pancreas, islets, beta cells, or stem cells, or at a transplantation site to therapeutically alter levels of various factors including, without limitation, cytokines, growth factors, angiogenic factors, and cell adhesion molecules.

The application relates to a binding fixing device applied to acute pancreatitis treatment and an application method, which comprises a fitting frame matched with a human body, binding belts connected to both ends of the fitting frame, and detachable connections of end portions of the two binding belts; an inner hole of the fitting frame is provided with a track, and a position-adjustable fixing ring is slidably arranged on the track; the device further comprises an adjusting limiting ring, the adjusting limiting ring comprises a left ring body and a right ring body which are both semicircular rings, the left ring body and the right ring body are both slidably arranged on the fixing ring and have consistent sliding directions, the sliding of the left ring body and the right ring body is synchronized through a synchronous assembly, and the locking and unlocking of the positions after the sliding are realized; a plurality of limiting rods are slidably arranged on opposite side surfaces of the left ring body and the right ring body; various sizes of intubations can be well compatible and fixed, different directions of intubations can also be well compatible, the operation is simple, the operation strength of medical staff is effectively reduced, and the patient experience is improved.

The invention relates to a home management method and system for a patient with hypertriglyceridemia acute pancreatitis, and belongs to the technical field of data analysis. The method comprises the following steps: acquiring auxiliary analysis data of the patient; forming multi-modal sequence data in a time dimension based on the auxiliary analysis data; encoding the multi-modal sequence data based on a time sequence Transform of an attention mechanism, and generating a multi-modal feature vector; inputting the multi-modal feature vector into a risk prediction model, and outputting a deterioration risk probability of the patient; and outputting the health guidance of the patient based on the multi-modal feature vector. The multi-modal data is captured through an attention mechanism, the risk probability is quantified according to the multi-modal data, the potential deterioration risk can be perceived in the early stage, the recurrence and illness worsening risks are remarkably reduced, the health guidance is generated based on the individualized features of the patient, the health guidance is more suitable for the actual life of the patient, and the patient experience is improved. And the management participation and compliance of the patient are further improved.

The invention belongs to the technical field of traditional Chinese medicines, and provides a traditional Chinese medicine composition with functions of clearing heat, dispelling effects of alcohol, eliminating carbuncle and relieving pain and a preparation method and application thereof. The traditional Chinese medicine composition is prepared from radix bupleuri, radix scutellariae, wine-treated rhubarb, fructus aurantii immaturus, cortex magnoliae officinalis, radix paeoniae alba, fructus gardeniae, radix salviae miltiorrhizae, semen hoveniae and herba cichorii. The traditional Chinese medicine composition has the advantage of purging internal organs and purging heat, constructs a novel four-in-one treatment pattern of dispelling effects of alcohol, activating collaterals, protecting the liver and nourishing yin and body fluid, realizes more accurate and more comprehensive coverage on the pathogenesis of the alcoholic acute pancreatitis, is definite in curative effect and free of toxic and side effects, and has a remarkable market prospect.

The utility model relates to the technical field of medical auxiliary supplies, in particular to a medicine applying device for a patient with pancreatitis. A medicine applying device for a patient with pancreatitis comprises two limiting frames, bandages, a fluctuating plate, a guide rod and a second spring, the two limiting frames are symmetrically distributed, the bandages are clamped to the two limiting frames, a medicine applying bag containing applied medicine is clamped between the two limiting frames, two positioning holes are formed in the two ends of the medicine applying bag, the two ends of the medicine applying bag are sealed, and the two ends of the medicine applying bag are connected with the fluctuating plate. Two guide rods are symmetrically connected to the upper ends of the limiting frames in a sliding mode, a fluctuating plate is connected between the guide rods in a sliding mode, and two second springs are connected between the two sides of the fluctuating plate and the limiting frames on the same side. A fluctuating plate is matched with a second spring, the medicine applying bag can be buffered, during medicine applying, the abdomen of the patient can extrude the medicine applying bag due to fluctuating breathing, and the second spring buffers, so that discomfort of the abdomen of the patient can be reduced, and the stability of the device cannot be affected.

The present disclosure relates to a novel ALPK1 inhibitor of formula (I), or a pharmaceutically acceptable salt, stereoisomer, tautomer, atropisomer, stable isotope variant, prodrug, or crystalline form thereof. The disclosure also relates to pharmaceutical compositions comprising said novel ALPK1 inhibitors, and their use in the treatment of inflammatory related diseases, such as ROSAH syndrome, inflammatory bowel disease (IBD), NASH, gout, diabetes, chronic kidney disease, pancreatitis, Kawasaki disease, inflammatory skin disease, and neurodegenerative diseases including Alzheimer's disease.

The application discloses a biomarker for diagnosing acute pancreatitis and application thereof, and the biomarker is CTRC. The application also discloses a CTRC combined marker lipase for diagnosing acute pancreatitis, especially high triglyceride acute pancreatitis.

The invention belongs to the technical field of image segmentation, and particularly relates to an intelligent segmentation method and system for an acute pancreatitis CT image, and the method comprises the steps: simulating a normal pancreatic CT image, carrying out the virtual lesion generation, fusing a virtual CT image set with a real CT image, extracting the topological structure features of the pancreatic tissue of the fused image, and carrying out the segmentation of the pancreatic tissue; performing unsupervised clustering on the topological structure image by adopting a topological perception diffusion coacervation method, and distinguishing pancreas and background regions; differentiated mechanical parameters are distributed to all areas of the preliminary segmentation mask, and boundary deformation is corrected; carrying out fine correction on the pixels of the optimized mask by adopting an entropy optimization threshold method; and according to the region segmentation mask, automatically calculating a necrotic volume ratio and an exudation maximum sectional area, and outputting a region segmentation result. According to the method, a virtual image is generated through fluid diffusion, topological guide segmentation and mechanical correction are carried out, accurate partitioning and quantitative grading are achieved, and clinical diagnosis is assisted.