77 results about "Clinical study" patented technology

The invention provides an intelligent management method and system for multi-source and multi-mode clinical research data, and relates to the technical field of data processing. The method comprises the following steps: acquiring an in-and-out standard of a subject and multi-modal clinical data of a patient; respectively vectorizing the text data, the image data and the gene data to obtain a text feature vector, a high-dimensional feature vector and a gene feature vector, so as to facilitate subsequent data integration; performing feature extension fusion on the text feature vector, the high-dimensional feature vector and the gene feature vector to obtain a fused feature vector, and effectively associating multi-modal data; according to the fusion feature vector and the in-arrangement feature vector of the in-arrangement standard, the matching difference degree is obtained, so that the multi-modal data play a mutual synergistic role when the matching difference degree is analyzed, and the matching difference degree is more accurate; according to the matching difference degree and a preset screening threshold value, the patients are screened, a list of potential subjects meeting requirements is obtained, and clinical researchers can make accurate decisions conveniently.

The invention relates to the technical field of medical image analysis, in particular to a CAR-T cell culture monitoring system based on image recognition, which comprises a cell region division module, a cell morphology analysis module, a cell behavior dynamic analysis module and a cell population collaborative monitoring module. According to the method, through cell image gradient intensity analysis, refined cell edge detection and dynamic adjustment of a segmentation threshold value, high-precision extraction of cell boundaries is ensured, noise interference is avoided, cell shapes, textures and geometric features are refined, the identification degree of morphological features is improved, and tiny changes of cell morphologies are accurately captured; dynamic tracking and trend evaluation are carried out on cell behaviors based on adjacent frame images, tiny dynamic changes such as cell division, aggregation and migration are accurately reflected, excessive smoothness in the dynamic process is avoided, cell population behavior monitoring is combined with interaction and corresponding speed calculation, the population synergistic effect change trend is comprehensively evaluated, and the cell population behavior monitoring effect is improved. And finer cell culture environment optimization and clinical research support are provided.

An artificial intelligence system for drug discovery and development, consisting of: a data integration module configured to collect and process pharmaceutical data from multiple sources, including molecular structures, protein-protein interactions, drug-protein interactions, and clinical trial data, and to standardize the collected data into a uniform format; a machine learning engine configured to: analyze the standardized data using deep learning algorithms, generate predictive models for drug-protein interactions, and identify potential drug candidates based on molecular features; a drug development module configured for the following purposes: generation of novel molecular structures using generative contradictory networks, evaluation of the synthetic feasibility of generated molecules, and prediction of the biological activities of developed molecules; A clinical trial optimization module configured to: analyze patient data to select optimal study participants; predict drug efficacy based on molecular and patient-related characteristics; and create study protocols based on the predicted outcomes; and a validation module configured for evaluating the accuracy of generated predictions, validating synthetic routes for drug candidates, and assessing the safety profiles of developed molecules.

Embodiments of the present disclosure provide large language models (LLMs) and large multimodal models (LMMs) for managing imaging data. An example method includes extracting a database schema and a data dictionary associated with a medical imaging database that maintains medical images and non-image data associated with a plurality of clinical studies; extracting object attributes associated with the medical images that are descriptive of the medical images and corresponding studies; and training an LLM to generate search queries from natural language requests based on a training dataset that includes: the database schema, the data dictionary, the object attributes, a prompt template including partial instructions for the LLM, and a plurality of example natural language requests and corresponding expected search queries. The trained LLM can then be used to generate a first search query from a first natural language request.

Exemplary systems, methods, and devices are disclosed which provide at-home, portable, wireless sleep sensors and wearable electronics with embedded machine learning. Such devices have applications in assessing sleep quality and detecting sleep apnea with multiple patients. Unlike the conventional system at a sleep center using numerous bulky sensors, the soft all-integrated wearable platform offers natural sleep in a familiar setting. The face-mounted patches that detect brain, eye, and muscle signals show comparable performance in sleep monitoring with polysomnography in a clinical study. Furthermore, deep learning is embedded in an exemplary device, offering automated high-precision sleep scoring, which demonstrates the wearable system's portability and point-of-care usability. The at-home wearable patches help to support portable sleep monitoring and home healthcare.

The present disclosure relates to Machado-Joseph disease (MJD), or spinocerebellar ataxia type 3 (SCA3), an autosomal dominantly inherited neurodegenerative disorder that is caused by an over-repetition of the polyglutamine-codifying region in the ataxin-3 (ATX7V3) gene. Expanded ATXN3 is prone to aggregate and disturbs diverse cellular systems, ultimately leading to cell dysfunction and death in specific neuronal populations. To date, no treatment able to reverse or stall MJD / SCA3 progression has been developed. Strategies based on the suppression of the deleterious gene products have demonstrated promising results in pre-clinical studies. Nonetheless, these strategies do not target the root cause of the disease, producing an incomplete and / or transient therapeutic effect in target cells or tissues. Recently, gene-based therapeutics, including the bacterial clustered regularly interspaced short palindromic repeat (CRISPR) systems for gene edition, have been successfully used to permanently inactivate and correct disease-related genes, holding promise for the development of a definitive cure for inherited diseases.

The invention discloses an intelligent follow-up visit method and device for clinical test subjects, computer equipment and a storage medium. The method comprises the following steps: acquiring a clinical test scheme; generating a subject follow-up table according to the clinical test scheme; sending and updating a subject follow-up table according to the clinical test scheme; and carrying out detection and early warning on the updated subject follow-up table. By implementing the method, the research process can be optimized, the operation cost can be reduced, the clinical research quality can be improved, the internal communication efficiency can be enhanced, the test progress can be tracked in real time, and the problem can be quickly identified, so that the overall efficiency and quality can be improved.

This invention belongs to the field of biomedicine and specifically relates to the use of β-hydroxybutyrate in the preparation of a drug for the treatment of endometriosis. In animal experiments, BHB treatment significantly reduced endometriosis lesions between days 4 to 18 and 28 after modeling. Clinical studies have also found decreased serum BHB levels in endometriosis patients, suggesting that BHB supplementation may improve endometriosis symptoms. This suggests that BHB has a beneficial therapeutic effect on endometriosis and holds promise for clinical application.

Disclosed is method and system for identifying treatment subpopulations within a patient population of a clinical study, by applying a causal ensemble model configured to output an ensemble Conditional Average Treatment Effect (eCATE).

The present application relates to medical image analysis and brain network research technical field, specifically to glioma induced brain network remodeling visualization and quantitative analysis method based on fMRI. The method comprises obtaining patient fMRI and structural MRI data and preprocessing, excluding tumor area by lesion mask registration strategy, reducing quality effect interference; dividing tumor core area, peritumoral abnormal area and normal brain area; registering Yeo-17 network template to individual brain area to realize mapping; defining tumor core area as independent network unit, and 17 normal networks to form a new set; calculating whole brain voxel and network functional connection strength, and determining functional connection voxel according to threshold; quantifying intratumoral function proportion RIFR and peritumoral connection proportion RPTR, and generating visualization atlas. The present application accurately maps individual brain function network, overcomes tumor heterogeneity interference, provides repeatable quantitative index, and provides reliable imaging analysis tool for brain glioma function protection and clinical research.

The present composition comprises magnesium-L-threonate and a neurotransmitter such as, but not limited to phosphatidylserine and optionally, at least one of vitamin C, vitamin B6, and vitamin D3. The composition has been shown to increase at least one of memory or cognition in clinical study subjects. The present disclosure is further directed to methods of identifying and a subject with a memory or cognitive deficiency and administering a therapeutically effective amount of a formula comprising magnesium-L-threonate and a neurotransmitter to improve the memory and / or cognitive deficiency. In some implementations, the magnesium-L-threonate is Magtein®. It is also intended that any other neurotransmitter that results in a synergistic composition of the magnesium-L-threonate and the neurotransmitter by administered to improve a subject's memory and / or cognition.

The present invention provides radiolabeled 2,3,4,5-tetrahydro-1H-[1,4]diazepino[1,7-α]indol-9-yl]pyridin-2(1H)-one derivatives of general formula (I) or salts thereof, as well as precursors of the radioligands of general formulae (II) and (III), processes for their preparation, and intermediates of the processes. The radiolabeled compounds enable visualization and quantification of melanin-concentrating hormone receptor 1 (MCHR1) in various target tissues, including monitoring MCHR1 in such target tissues. The compounds exhibit high binding affinity for MCHR1 and are able to cross the blood-brain barrier, thus facilitating diagnosis of various disease states in human clinical studies.

The present disclosure provides a method for using peptides of oncogenic proteins to reverse immune suppression, induce stronger immune responses, reduce cancer recurrence rates, and prolong disease-free survival. The suppressed immune state may be due to prior treatments, including but not limited to surgery, chemotherapy, antibodies targeting the oncogenic protein, high levels of expression of the oncogenic protein, or combinations thereof. For example, in a control group of clinical studies, it was shown that when GM-CSF was administered to patients without peptides derived from the oncogenic protein, the immune response to GM-CSF alone was lower when compared with patients who were not treated with antibodies against the oncogenic protein and did not have high levels of expression of the oncogenic protein, and the immune state of these patients was suppressed, with higher recurrence rates and lower disease-free survival rates, all of which were reversed by the addition of the peptides.

Systems for visualization and management of a clinical study have a processor, an input device, a database storing data related to the clinical study, and a visit schedule interface. The data have a study visit schedule. The study visit schedule has nodes and a track having a step sequence. Each node has a node position and node attributes. The node position has a node track identifying the track and a node step. The data may also have a visit travel policy and the node attributes may have a visit policy label associated with the visit travel policy.

The invention relates to the technical field of clinical application, and discloses preparation and clinical application of Deyu large plaster, the raw materials of the Deyu large plaster comprise fritillaria, deer sinew, honeysuckle and other medicinal materials, yellow lead and sesame oil are supplemented, and the Deyu large plaster is prepared through the steps of preparing and soaking, decocting, adding the yellow lead, removing fire toxin, removing mud, packaging and the like. In the medicinal materials, the fritillaria clears heat and moistens lung, the deer sinew nourishes liver and kidney and strengthens muscles and bones, and the honeysuckle has antibacterial and anti-inflammatory effects, and the medicines are compatible to achieve the effects of strengthening tendons and bones, nourishing blood and dredging collaterals. Clinically, 520 patients with neck, shoulder, waist and leg pain are divided into a treatment group (320 patients use Deyu large plaster) and a control group (200 patients use collateral dredging and pain relieving plaster), after 10 days of treatment course, 102 patients are cured in the treatment group, 131 patients are effective, the total effective rate is 94%, the total effective rate of the control group is 81%, and the difference between the two groups is remarkable (plt: 0.05). The plaster is small in adverse reaction, suitable for long-term use and remarkable in curative effect in treatment of neck-shoulder and lumbocrural pain.

Methods, systems, and apparatus for generating synthetic patient data and simulating clinical studies. In one aspect, a method includes obtaining a disease of interest for an in silico clinical study and obtaining historic patient data associated with the disease of interest. The historic patient data includes patient attributes for each patient. The method includes, based on the patient attributes, generating synthetic patient data. The synthetic patient data reproduce statistical properties of the historic patient data. The method includes applying the synthetic patient data to the in silico clinical study configured to predict a clinical study outcome and providing, based on the predicted clinical study outcome, feedback data that specify one or more parameters used in generating the synthetic patient data.

Provided herein are methods for administering a hepatitis B virus surface antigen (HBsAg) to subjects with chronic hepatitis B to distinguish between responder subjects who respond to the HBsAg administration with an increase in an HBV antibody levels and non-responder subjects, and treating chronic hepatitis B in the responder subjects with an HBV therapy. Methods of excluding non-responder subjects from a clinical study are also provided.

The invention relates to the technical field of medical image analysis and brain network research, in particular to a glioma induced brain network remodeling visualization and quantitative analysis method based on fMRI. The method comprises the steps of obtaining and preprocessing fMRI and structural MRI data of a patient, eliminating a tumor area through a focus shielding registration strategy, and reducing mass effect interference; dividing a tumor core region, a peritumoral abnormal region and a normal brain region; a Yeo-17 network template is registered to an individual brain region to realize mapping; defining a tumor core area as an independent network unit, and forming a new set with 17 normal networks; calculating the connection strength of whole brain voxels and network functions, and judging functional connection voxels according to a threshold value; and quantifying the intratumoral function ratio RIFR and the peritumoral ligation ratio RPTR, and generating a visual map. According to the method, an individual brain function network is accurately mapped, tumor heterogeneity interference is overcome, repeatable quantitative indexes are provided, and a reliable imaging analysis tool is provided for brain glioma function protection and clinical research.

A method of utilizing data object references to access a translated version of a validated instrument (202, 302), the method including: retrieving (202), for a clinical study, a validated instrument, the validated instrument being drafted in a primary language. It also includes determining (304) a secondary language associated with a user; obtaining a translation key that defines an arrangement of source text within the validated instrument. The translation key is utilized (308) to generate a first translation export object that includes source text in the secondary language. The first translation export object is inserted (310) into the arrangement within the validated instrument. The validated instrument is displayed (312) with the first translation export object to a user while the user completes the validated instrument.

The invention relates to the technical field of traditional Chinese medicine, in particular to a traditional Chinese medicine composition for treating radiation proctitis and a preparation method thereof.The traditional Chinese medicine composition is prepared from rhizoma coptidis processed with wine, radix scutellariae slices, radix rehmanniae recen, baked ginger, rhizoma atractylodis macrocephalae fried with bran, carbonized sanguisorba root, the root of Chinese pulsatilla, rhizoma bletillae, the root of kudzu vine, astragalus membranaceus, carbonized hair, honey-fried licorice root, radix paeoniae alba and rhizoma nelumbinis charcoal. According to the principle of clearing heat, promoting diuresis, detoxifying, cooling blood, dispersing blood stasis and stopping bleeding in traditional Chinese medicine, the pathological states of internal exuberance of fire-heat toxins and burns intestinal collaterals are comprehensively conditioned. Clinical research proves that the medicine can improve the traditional Chinese medicine syndrome score of patients suffering from stomachache, diarrhea, mucous bloody stool type rectum mucosa edema, hyperemia, bleeding and even ulceration and ulceration caused by radiotherapy, has practical popularization and application value, and is worthy of popularization and application. Therefore, the problems that the existing western medicine for treating radiation proctitis can only temporarily relieve symptoms, cannot repair intestinal mucosa injury and is easy to cause drug resistance and intestinal flora imbalance are solved.

The present disclosure provides a method of automated clinical study simulation. Further, in some embodiments, the method simulates clinical studies via conversational interactions with digital twin patients. Further, the method includes receiving profile data from one or more client devices, generating a digital twin data based on the profile data, generating one or more user inputs for an AI model using the digital twin data, and obtaining one or more response data from the AI model. Further, the AI model may be configured to generate the one or more response data for the one or more user inputs. Further, the method includes analyzing the one or more user inputs and the one or more response data, generating one or more result data based on the analyzing, and transmitting the one or more result data to the one or more client devices.

Disclosed embodiments may include a method for matching patient data to clinical study sponsors. The system may receive a first data package comprising one or more first patient profiles comprising a plurality of data elements each associated with a respective patient. A data tag indicating a data type for each data element may be assigned. The first data package and the data tags are stored. Study criteria comprising inclusion and exclusion criteria for a first study are received. Each of the inclusion and exclusion criteria of the first study are mapped to a respective data tag. Based on the mapping and the data tags assigned to each data element, one or more second patient profiles from the first data package are identified that are compatible with the inclusion and exclusion criteria. Each data element associated with the identified one or more second patient profiles is shared with the user device.

The invention relates to a method for enriching a database of medical images intended for a clinical study, comprising the steps of: - retrieving (100) a medical image to be analyzed; - identifying (103) a type of organ in the medical image to be analyzed by implementing an artificial intelligence model generated by training on a database of reference medical images whose predefined parameter values ​​are fixed; - selecting predefined parameters of the image to be analyzed according to the type of organ identified; - identifying (106) the values ​​of the predefined parameters of the medical image to be analyzed by implementing the artificial intelligence model; - storing (108) the identified parameter values ​​in metadata associated with the image to be analyzed. Figure to be published with the abstract: Fig. 1

A system for visualization and management of participants in studies having a graphical user interface (GUI), a database (DB) storing studies data, visit schedules, travel policies, sites data, and participants data having a first participant in a first study. The GUI has controls including system control, data controls (being one or more of a travel policy control, visit schedule control, and participant control), navigation control associated with the study, and selection control associated with the participant. The GUI responsive to using the controls can a) switch GUI views; b) receive and display participants data; c) receive and display visit schedule and travel policy associated with the first participant and with the first study; d) receive input data from the input device and cause the DB to update the studies data, participants data, travel policies, and visit schedules with the input data. DB may store a second participant.

Systems and methods for improving data security in a computerized health analysis platform are disclosed. For instance, a method includes (i) reading clinical study data sets regarding one or more clinical studies from a hardware storage device, (ii) executing a first computer executable de-identification function with respect to direct identifiers included in each of the clinical study data sets to generate modified clinical study data sets, (iii) generating a standardized data set based on the modified clinical study data sets, (iv) executing a second computer-executable de-identification function with respect to clinical study information portion included in the standardized data set to generate a modified standardized data set, (v) generating a first data structure representing the modified standardized data set, and (vi) storing the first data structure in the hardware storage device.

The invention relates to a method for enriching a database of medical images for a clinical study, the method comprising the steps of: - retrieving (100) a medical image to be analyzed; - identifying (103) an organ type in the medical image to be analyzed by implementing an artificial intelligence model generated by training on a database of reference medical images for which the values of the predefined parameters are fixed; - selecting the predefined parameters of the image to be analyzed according to the identified organ type; - identifying (106) the predefined parameter values of the medical image to be analyzed by implementing the artificial intelligence model; - storing (108) the identified parameter values in metadata associated with the image to be analyzed.

Systems and methods for improving data security in a computerized health analysis platform are disclosed. For instance, a method includes (i) reading clinical study data sets regarding one or more clinical studies from a hardware storage device, (ii) executing a first computer executable de-identification function with respect to direct identifiers included in each of the clinical study data sets to generate modified clinical study data sets, (iii) generating a standardized data set based on the modified clinical study data sets, (iv) executing a second computer-executable de-identification function with respect to clinical study information portion included in the standardized data set to generate a modified standardized data set, (v) generating a first data structure representing the modified standardized data set, and (vi) storing the first data structure in the hardware storage device.

This invention discloses a traditional Chinese medicine composition for treating ulcerative colitis, its preparation method, combined drugs, and applications. The traditional Chinese medicine composition for treating ulcerative colitis of this invention is made from the following raw materials in parts by weight: Astragalus membranaceus 13-26 parts, Lonicera japonica 10-20 parts, Sargentodoxa cuneata 10-20 parts, Prunus mume 8-16 parts, Agrimonia pilosa 8-16 parts, Allium macrostemon 6-12 parts, Platycodon grandiflorus 6-12 parts, Coptis chinensis 3-6 parts, and Panax notoginseng powder 1-3 parts. An animal model of ulcerative colitis was constructed using DSS induction, and the results showed that the traditional Chinese medicine composition of this invention has a certain therapeutic effect on ulcerative colitis. Clinical studies showed that the traditional Chinese medicine composition of this invention, used in combination with mesalazine enteric-coated tablets, can reduce the modified Mayo score and serum inflammatory markers in patients with active ulcerative colitis, improve colonic mucosal inflammation and gastrointestinal symptoms, and effectively treat active ulcerative colitis of the damp-heat type.

The present application relates to a kind of composition for preventing and treating new crown and its preparation method.It is made of Huangqi, Baizhu, Wuweizi, Fangfeng, Jinyinhua, Lianqiao, Banlangen, Yuxingcao, Lugen, Tianhuafen, Jiegeng, Gancao, any dosage form is made using pharmaceutically acceptable carrier or excipient, such as formula granule, granule, decoction, tablet, capsule, soft capsule, drop pill or pill.It has the effect of benefiting qi and consolidating the exterior, clearing heat and detoxifying, clearing lung and benefiting throat.It is suitable for low immunity, weak or with other diseases of the body resistance decline susceptible population to prevent exogenous disease and or infectious disease, and new coronavirus infection population.Clinical studies show that new coronavirus infection patients treated by the present application, body temperature, sore throat, general soreness, sleep difficulty mostly in 6-8 hours improvement, generally in 20 hours symptom can basically disappear, indicating that the present application has exact curative effect on new coronavirus infection patients.