113 results about "Chronic disorders" patented technology

The invention discloses an illness state tracking management system and method based on a lingual face diagnosis instrument, and belongs to the technical field of traditional Chinese medicine tongue diagnosis and modern information technology fusion. The system comprises a multi-modal data acquisition module, a data processing and analysis module and an augmented reality visualization module; according to the method, illness state tracking is achieved through the steps of multi-modal data acquisition, data preprocessing and feature fusion, personalized digital twinborn model establishment, augmented reality visualization presentation and the like, multi-dimensional data such as tongue picture macroscopic features and tongue surface microorganism distribution can be integrated, dynamic association between the data is revealed, the health state and the intervention effect are visually displayed, and the method is suitable for being popularized and applied. The method is suitable for the fields of traditional Chinese medicine health management and chronic disease monitoring.

The invention discloses a personalized recipe recommendation system, a recommendation method and an interaction system, and relates to the technical field of diet recommendation, the system comprises a user data collection module, a food image recognition module and a personalized recommendation module, the user data collection module is used for obtaining health data and diet preference data of a user, the health data comprises basic information, health conditions and exercise habits, the basic information comprises regions, the health conditions comprise allergen lists, chronic diseases and diet targets, and the food image recognition module is used for obtaining food photos uploaded by a user, recognizing the food photos to obtain food recognition results and sending the food recognition results to the user. The food identification result comprises a food type corresponding to the food photo, and the personalized recommendation module is used for determining a recommended recipe recommended to the user based on the health data, the diet preference data and the food identification result. By considering more comprehensive influence factors, a more suitable and personalized recipe can be recommended to the user.

Embodiments of the present invention generally relate to novel immunostimulatory compositions of use to stimulate non-specific immune responses in a subject. In certain embodiments, immunogenic compositions disclosed herein can be directed to use in the eye of a subject. In some embodiments, the immunogenic compositions disclosed herein enhance non-specific immune responses in the eye of a subject to treat or reduce the risk of onset of an eye condition. In other embodiments, compositions disclosed herein can be used to treat eye infections due to a microorganism, tumors of the eye, as well as, chronic wounds or infections of the eye. In some embodiments, immunogenic ocular formulations disclosed herein include combinations of agents for prolonged exposure to the eye for improved outcomes.

The invention relates to a chronic disease risk automatic early warning method based on multi-modal data analysis, and belongs to the technical field of intelligent medical treatment and health management. The method comprises the following steps: acquiring multi-modal health data of a user in real time through a multi-modal data acquisition module, and performing feature extraction to obtain individual multi-dimensional health features; based on the features, a convolutional neural network and a graph neural network are called to be combined with the chronic disease type to construct a chronic disease risk prediction model, and potential chronic disease risks are judged through leaving-one verification; analyzing a risk level according to the risk result and generating early warning information; and carrying out risk detection based on the evaluation index, and if the risk is higher than a model set threshold, sending a risk early warning signal through the terminal device. Accurate assessment and personalized early warning of chronic disease risks are realized.

The present invention relates to the technical field of anti-aging compositions and particularly to an anti-aging composition and use thereof, and an anti-aging capsule and use thereof. The present invention provides an anti-aging composition comprising the following components: 20-2000 parts by mass of calcium α-ketoglutarate, 20-100 parts by mass of quercetin, 20-2000 parts by mass of trans-resveratrol, 20-100 parts by mass of calendulin, and 0.02-1.8 parts by mass of spermidine. The composition of the present invention has a multi-target synergistic effect on 12 major causes of aging and can safely and effectively reverse aging, enhance the physiological function, reduce the risk of chronic diseases, and improve the quality of life. The components of the composition are safe, and are carefully selected natural food ingredients; therefore, the composition is safe and reliable, and has no side effects with long-term use. The composition is prepared in an oral dosage form, so that the composition is convenient to administer, which improves patient compliance; moreover, the mode of application of the composition can be expanded.

The invention discloses a chronic disease prognosis method, a chronic disease prognosis model, a chronic disease prognosis device, computer equipment and a storage medium. The chronic disease prognosis method comprises the following steps: acquiring a medical image and medical data of a to-be-prognosed person; in the medical image, deep learning features and radiomics features are extracted; determining shared features and unique features of the deep learning features and the radiomics features in the deep learning features and the radiomics features; performing fusion processing based on the shared features and the unique features to obtain target fusion features; based on the target fusion features and the medical data, constructing a multi-omics graph; and performing prognosis treatment based on the multiple omics graphs to obtain a prognosis result of the to-be-prognosed person. Through the target fusion features and data of different modalities such as medical data, the constructed multi-omics graph can enhance the modeling ability of the model for complex pathological information on the basis of improving expression complementarity among different modalities, so that the accuracy and robustness of a prognosis prediction result are remarkably improved.

The invention discloses an intelligent monitoring wrist strap for plateau adaptive sports and a system thereof. The intelligent monitoring wrist strap comprises a monitoring main body, a left wrist strap and a right wrist strap, one side of the monitoring main body is provided with a power supply lamp, a gait monitoring lamp and an osteoporosis early warning lamp, the other side of the monitoring main body is provided with a charging port, and the monitoring main body is internally provided with a micro-processing chip, an air pressure sensor, a temperature sensor, an ultraviolet sensor and an alarm microphone; an osteoporosis early warning module is arranged at the lower part of the monitoring main body, a display screen is arranged at the upper part of the monitoring main body, and an air pressure sensor, a temperature sensor, a blood oxygen detection module, a heart rate detection module, a gait monitoring module, an osteoporosis early warning module and a wireless transmission module are integrated on the micro-processing chip. According to the plateau environment characteristics and the skeletal system chronic disease risk, the motion state and health data of the wearer are dynamically monitored, and individualized motion guidance and early warning information is generated, so that the risk of plateau crowds in the motion process is reduced, and the individualized health management level is improved.

This invention relates to a body fluid-based detection device for chronic diseases, which belongs to the field of medical devices. The device includes a body fluid detection fluid channel, a detection probe, a data processing module, and a data display module. The detection probe is disposed within the body fluid detection fluid channel, and the detection probe is connected to the data processing module, which is connected to the data display module. The body fluid detection fluid channels include: a body fluid ion detection channel, a body fluid pH detection channel, a body fluid hydrodynamic characteristic detection channel, a channel for detecting the content of soluble gases such as oxygen, a channel for detecting the physical characteristics of white blood cells and tumor cells, a channel for detecting the electrical characteristics of white blood cells and tumor cells, a channel for detecting the physical characteristics of red blood cells, a channel for detecting the electrical characteristics of red blood cells, a channel for detecting the electrical characteristics of separated body fluids, and a channel for detecting anticoagulation and fibrinolysis functions. This invention enables highly sensitive, non-invasive testing, providing a powerful tool for the early diagnosis of chronic diseases.

Disclosed are compositions and methods for treating cortical hyperexcitability and reversing stroke-induced changes in gene expression and protein expression. For example, the methods can comprise administering vandefitemcel to a region of the brain of a subject to reduce chronic cortical hyperexcitability in the subject. Also disclosed are methods and blood biomarker panels for assessing an efficacy of a stem cell treatment for a chronic condition caused by stroke.

A device may receive physical activity data for a subject, wherein the physical activity data comprises raw acceleration data. A device may derive a plurality of metrics from the raw acceleration data, wherein the plurality of metrics comprise a plurality of pattern-related metrics. A device may input the plurality of metrics into a deployed machine learning model. A device may be configured to perform receiving, from the deployed machine learning model, a physical activity score. A device may calculate a risk score for at least one disease or condition based on the physical activity score.

The present invention relates to a composition for the improvement and treatment of muscle diseases and cachexia, wherein diflunisal has the effect of promoting the differentiation and proliferation of myogenic cells, and further has the effect of improving and treating cachexia induced by chronic diseases such as muscle diseases or cancer through effects such as increased muscle mass and recovery of muscle strength.

AI-Driven Multimodal Framework Computer for Early Detection and Remote Monitoring of Chronic Disease

This application provides a method, apparatus, and computer device for joint risk assessment of chronic diseases and comorbidities, relating to the field of medical and health technology. The method includes: performing hierarchical preprocessing on health examination-related data from multiple subjects to generate a standardized dataset containing single-disease labels and comorbidity combination labels; inputting the target data into a single-framework multi-objective collaborative ensemble model to obtain single-disease and comorbidity prediction values; the single-disease and comorbidity prediction values ​​are obtained synchronously through a single inference by the single-framework multi-objective collaborative ensemble model; calculating a comorbidity risk gain value based on the single-disease and comorbidity prediction values, and generating a structured assessment result based on the comorbidity risk gain value. This method can improve the accuracy of joint risk assessment of chronic diseases and comorbidities.

To provide compositions and methods for treating and preventing cognitive impairment, movement disorders, chronic pain, depression, decreased appetite, and addiction.SOLUTION: Also provided are methods for the diagnosis and monitoring of cognitive impairment, movement disorders, chronic pain, depression, decreased appetite, addiction, and other conditions such as convulsion or seizure. These compositions comprise fatty acid compounds and salts thereof which may be administered either alone, in combination with other medicaments, or as part of various treatment regimens. The provided compositions are effective for modulating markers, including, but not limited to, behavior associated with cognitive impairment, movement disorders, chronic pain, depression, decreased appetite, opiate addiction, and other related conditions. Methods for administering the compositions are also provided.SELECTED DRAWING: Figure 1

The disclosure generally relates to ready to drink electrolyte solution. In particular the disclosure relates to a ready to drink electrolyte solution comprising isomaltulose, glucose, sodium ions, chromium ions and water; wherein the glucose concentration is greater than or equal to 0.9g / 100ml, and wherein the theoretical glycemic index of the solution is equal to or less than 55. The disclosure also relates to a method of manufacturing said ready to drink electrolyte solution. The disclosure also relates to a method of rehydrating a patient suffering from cancer, diabetes, acute or chronic illness, or a gastrointestinal disorder by using said ready to drink electrolyte solution.

The invention relates to the field of computer vision, artificial intelligence and medical image analysis, in particular to a disease prediction method for supervising multi-omics tensor fusion, and the method comprises the steps: obtaining a tensor covariance among multi-omics data according to the processed multi-omics data, and defining a target function of tensor canonical correlation analysis; according to the tensor covariance and the target function, introducing structured sparse constraint and disease supervision information, and constructing a multi-modal image correlation analysis model based on tensor; solving the multi-modal image correlation analysis model by using an alternating iteration method to obtain a typical weight of each omics data; and predicting the disease according to the typical weight of each piece of omics data. According to the supervised multi-omics data fusion method based on the tensor, high-order related information can be effectively mined, the classification accuracy of chronic diseases is improved, and powerful technical support is provided for clinical diagnosis.

The present invention is directed to the use of antiviral agents, in particular valomaciclovir stearate and its polymorph Form A, as well as H2G (omaciclovir) to treat multiple sclerosis in combination with other agents, as well as the use of these agents to treat diseases and conditions such as chronic mononucleosis, long COVID, chronic fatigue syndrome, fibromyalgia, Crohn's disease, ulcerative colitis, rheumatoid arthritis, systemic lupus erythematosus, Graves' disease, Alzheimer's disease, mesial temporal lobe seizures, Epstein-Barr-virus-linked autism, or an Epstein-Barr-virus-linked cancer.

The invention relates to the field of protein, in particular to a milk-derived peptide APPSPIGVF with antihypertensive activity as well as a preparation method and application of the milk-derived peptide APPSPIGVF, and the amino acid sequence of the milk-derived peptide APPSPIGVF is Ala-Pro-Pro-Ser-Pro-Ile-Gly-Val-Phe. An angiotensin converting enzyme activity inhibition experiment, an alpha-amylase activity inhibition experiment and a dipeptidyl peptidase-4 activity inhibition experiment prove that the milk-derived peptide APPSPIGVF has very good functions of resisting hypertension and reducing blood sugar. The milk-derived peptide APPSPIGVF disclosed by the invention has an anti-hypertension capability, and can be used for remarkably inhibiting the activity of alpha-amylase and dipeptidyl peptidase-4, improving the capability of resisting chronic diseases such as hypertension and hyperglycemia of an organism, reducing the morbidity of the organism and improving the quality of life; the method has very important significance for developing food, health care products and medicines with the functions of resisting hypertension and reducing blood sugar.

In various embodiments compounds that induce and / or promote autophagy are provided as wells as methods of use thereof (e.g., in the prophylaxis or treatment of chronic pathologies associated with aging). In one illustrative, but non-limiting embodiments the compound(s) comprise, inter alia, coumarin 106.

The invention discloses a high-stability reversible deformation carbon nanotube fiber sensor, and a device and a method thereof, and relates to the technical field of electrochemical biosensors. According to the sensor, fusiform carbon nanotube fibers are adopted as a sensing base body, sensitive materials are embedded into the fibers in the expansion state of the fusiform carbon nanotube fibers to form a stable sensitive layer, then the stable sensitive layer is recovered into a slender structure through screwing, and closed protection and minimally invasive implantation of the sensitive layer are achieved. The invention also provides a multi-parameter electrochemical detection device, which can realize in-vivo synchronous detection of various physiological indexes such as hydrogen peroxide, superoxide anions and glucose, and is suitable for continuous monitoring and early warning of a complex disease process. The device is novel in structure and high in function integration degree, has good mechanical protection performance and biological compatibility, is particularly suitable for multi-index in-vivo continuous monitoring, and has wide application prospects in the scenes of chronic disease early warning, postoperative monitoring, metabolic disorder evaluation and the like.

The invention discloses an ordering method and platform based on individual health, and the method comprises the steps: obtaining an iris image of a user, and recognizing the body health risk information of the user through iris detection, analysis and processing; generating a catering recommendation rule according to the obtained body health risk information of the user; the ordering platform screens a food list according to the ordering condition of the user and the catering recommendation rule, and then presents catering recommendation information; or the ordering platform screens the food list according to the ordering condition of the user, generates risk prompt information according to the catering recommendation rule, and presents the catering recommendation information and the risk prompt information; the user performs ordering selection; according to the scheme, by combining the iris detection technology and the Internet ordering platform, the health risk of the user can be effectively recognized, personalized diet recommendation and health risk prompt are provided, the user is helped to enjoy online ordering and online take-out convenience, diet health can be guaranteed, and chronic diseases can be prevented and controlled.

To provide a new compound useful for treating cachexia or wasting syndrome which is a severe complication of chronic diseases such as neurodegenerative diseases and cancer.SOLUTION: Compounds of formula Ib or Ic are described. The compounds can modify the Akt3 or effects of nature in vitro or in vivo, and can also be used, alone or in combination with other agents, in the prevention or treatment of various conditions.SELECTED DRAWING: Figure 1

Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and / or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring / prediction, and other output parameters.

The invention belongs to the technical field of medicines, and particularly relates to a probiotic-fermented medicinal and edible traditional Chinese medicine composition as well as a preparation method and application thereof. Specifically, the medicinal and edible traditional Chinese medicine composition comprises the following components: Chinese yam, lotus seed, white hyacinth bean, fingered citron, dandelion, coix seed, Chinese date, malt and liquorice. According to the invention, the medicinal and edible traditional Chinese medicine raw materials are crushed, and the probiotics are added for fermentation treatment, so that the medicinal and edible traditional Chinese medicine composition based on probiotic fermentation is obtained, and the composition has a good curative effect on chronic diseases such as gastrointestinal diseases and the like, thereby having a good practical application value.

The invention discloses an application of a Gal-9 + Th cell and / or Gal-9 + Treg as an AIH detection target spot. Researches find that compared with a healthy control group, the peripheral blood Gal-9 + Treg cell proportion and Gal-9 + Th cell proportion of an AIH patient baseline group are remarkably increased, and after ALT of a patient in a treatment group returns to normal, the Gal-9 + Treg cell proportion and the Gal-9 + Th cell proportion are both decreased compared with those before treatment, and it is indicated that the Gal-9 + Treg cell proportion and the Gal-9 + Th cell proportion are effective indexes for monitoring disease improvement. However, the AIH is a chronic disease process, even if the ALT level returns to normal, Gal-9 + Treg cells and Gal-9 + Th cells still do not return to the level of a healthy control group, the Gal-9 + Th cells are taken as detection targets, the progress of the AIH disease course can be monitored more accurately, and disease repetition and biochemical rebounding caused by premature drug withdrawal are prevented.

Described herein are treatment regimens, therapies, pharmaceutical formulations and methods of using quercetin to prevent, treat, and / or protect from muscle wasting including 1) sarcopenia associated with aging; and 2) cachexia associated with chronic diseases and their treatments including but not limited to cancer, cardiovascular disease, chronic obstructive pulmonary disease (COPD), HIV, and kidney disease.

The invention relates to a general situation of a product, namely a technical formula and a preparation method of a medicinal and edible multifunctional anthocyanin health-preserving beverage. 2, the invention solves the substantive problems of users, and provides a medicinal and edible formula capable of solving depression and visual impairment; the tea has the effects of regulating three highs, reducing blood pressure, reducing blood fat, reducing blood sugar, treating cardiovascular and cerebrovascular diseases, treating apoplexy, nourishing and protecting liver, treating kidney deficiency, treating mental and physical exhaustion, enhancing intelligence, improving immunity, treating lung cough, treating stomachache, treating mental and physical exhaustion, maintaining beauty and keeping young, resisting aging, having a cell regeneration function, supplementing protein, resisting cancer, diabetes, cancer and the like. And 3, the chronic diseases puzzle the normal life of people for a long time, and the physical and psychological health is in vicious circle. And 4, the problem is solved from the root of the disease, so that the user is not wound and painful by the disease. And 5, the user is helped to change from a chronic disease and sub-healthy state to a healthy state, so that the body and mind keep a healthy and virtuous circle.

The present invention concerns the assessment of mechanical tissue properties in vivo. For this, magnetic resonance elastography (MRE) is often used but suffers from a poor adaptability of the reconstruction process of the mechanical tissue properties based on the images taken by MRE. There is therefore a need for a method for determining mechanical parameters of a tissue of a subject, which is adapted to his / her specificities. The present invention provides with a novel reconstruction process fulfilling this need by a smart use of resampling. This improvement is also advantageous to diagnose chronic diseases or provide biomarkers / therapeutical targets relative to chronic diseases by using these better assessed mechanical tissue properties provided by the novel reconstruction process.

The application provides an artificial intelligence model and method for predicting a gut age index based on microbiome sequencing data; through a machine learning algorithm and a statistical bias correction method, an artificial intelligence machine learning gut age prediction model is constructed, and a correction value is calculated based on a health cohort, so that a gut age correction is performed on a data sample to be predicted, thereby calculating a gut age index; the prediction of the gut age and the GAI can be used in the fields of evaluation of a gut health condition and prediction of chronic diseases; and preclinical verification results of the application show that the application has a high accuracy rate, and the calculation accuracy rates of the GAI in 20 common chronic diseases, such as metabolic syndrome, obesity and cardiovascular diseases, are between 65.9% and 74.8%, wherein the accuracy rate of arteriosclerosis is as high as 74.8%; the method also has the advantages of good characteristics, strong universality and the like, and has strong application value in the field of health.