46 results about "Clinical study" patented technology

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.

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.

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.

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.

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.

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.

The invention discloses a clinical test data query method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the quality filtering of a test record of a subject, and obtaining a plurality of pieces of undetermined test sample data; selecting a target clinical dimension from the at least two clinical dimensions, determining the target dimension corresponding to the to-be-determined sample data as a modal feature entity, and constructing a target multi-modal feature map; extracting gating features of the target sample under each clinical dimension through gating feature map quality filtering; and fusing the multi-dimensional gating features to obtain target fusion features, calculating a matching probability value based on the features, and finally screening out a query result meeting a preset retrieval condition. According to the method, the accuracy and reliability of clinical test data query are improved through multi-modal feature map construction and gating filtering, and efficient data support is provided for clinical research.

This invention belongs to the field of traditional Chinese medicine technology, specifically relating to a traditional Chinese medicine composition for tonifying vital energy and promoting blood circulation, its preparation method, and its application. The traditional Chinese medicine composition of this invention, by weight, comprises: 6-15 parts of raw ginseng, 10-15 parts of epimedium, 10-20 parts of atractylodes macrocephala, and 6-15 parts of prepared licorice root. This traditional Chinese medicine composition has the effects of greatly tonifying vital energy, strengthening the spleen, and warming the kidneys. It can be used to treat fatigue and susceptibility to COVID-19, and also to treat symptoms such as fatigue, poor appetite, abdominal distension, and belching caused by spleen and stomach qi deficiency. Clinical studies have found that this traditional Chinese medicine composition can significantly increase the lymphocyte count in patients, improve their immunosuppressive state, thereby significantly improving the fatigue symptoms in patients with COVID-19 and achieving the goal of effectively treating COVID-19.

This invention belongs to the field of biomedical technology, specifically relating to an ointment and its application. The toad oil used in this invention differs significantly in composition from toad venom, and its ointment is effective for various acute and chronic pain conditions. Animal experiments have confirmed that the toad oil ointment significantly reduces the frequency and delays the onset of acetic acid-induced writhing responses, demonstrating a clear analgesic effect. Clinical studies have shown that this ointment is rapidly effective and has a definite therapeutic effect on acute gout attacks, postherpetic neuralgia, and arthritis-related pain and swelling. The formulation effectively improves drug retention and user comfort, and no skin irritation has been observed. This development achieves comprehensive utilization of toad resources, providing an example for the sustainable development of traditional Chinese medicine and the efficient utilization of biological resources.

An example method comprises receiving, by an on-demand system on a network, different requests to create different, unrelated accounts to manage operations of a first clinical study regarding a first field of study and an unrelated second clinical study regarding an unrelated field of study, creating a first and second account based on credentials provided by the first entity and second entity to manage the operations of the clinical studies, respectively, receiving different configurations to configure different workspaces by the users, and generating dashboards to track and provide operations information and alerts associated to the different entities to manage operations of the first and second clinical studies.

This invention belongs to the field of gene editing technology and discloses an inosine-enriched adenine base editor off-target detection method (Ino-seq) and its applications. The method of this invention utilizes endonuclease V to specifically cleave inosine-containing DNA, combined with the stabilization of a thermostable single-stranded DNA-binding protein and the high affinity enrichment of streptavidin-biotin, to achieve direct capture of ABE enzymatic products. This method can simultaneously detect sgRNA-dependent and independent off-target effects, with systematic comparisons showing F1 scores of 0.892–0.931. Targeted deep sequencing validation showed an overall accuracy of 95.3%. Ino-seq can also detect endogenous genomic inosine, observing a variation range of >1,000-fold in 10 cell lines. This invention provides a crucial safety assessment tool for the clinical translation of ABE technology, supporting comprehensive off-target analysis in preclinical and clinical studies.

1. The name of the design product: dynamic information library display graphical user interface for clinical research of electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the graphical user interface content in the screen of the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the interface of the design product is used to dynamically display the progress and information of clinical research. 6. The human-computer interaction mode of the graphical user interface: the front view is the initial interface of the system, which enters after starting; click "all project progress" in the front view to enter interface change state diagram 1; click "the first approved variety in the country" in interface change state diagram 1 to enter interface change state diagram 2.

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 provides a medical data retrieval method and system based on an event-driven execution chain, a medium, a program product and a terminal. According to the method, the retrieval method with the patient-level medical event time sequence as the execution object and the execution sequence of the event-driven execution chain as the core is constructed, the retrieval method is different from a retrieval mode based on rule configuration or event display in the prior art, innovation is achieved from the execution mechanism level, and the adaptability of a retrieval scheme to medical event time sequence characteristics is effectively improved. According to the method, the computing node for cross-event index computing is used as the propelling condition of the event-driven execution chain, so that the computing logic is fused into the core link of the retrieval process instead of being used as an independent post-event analysis step, the unnecessary retrieval process is reduced, and the retrieval period is shortened. Through the decoupling design of the event-driven execution chain and the patient data, the same event-driven execution chain can be reused across different data sets and different research items, repeated development work is reduced, and the technical landing cost of clinical research is reduced.

The invention discloses application of a Danyankang preparation in preparation of a medicine for treating non-alcoholic steatohepatitis, the Danyankang preparation is prepared from eight traditional Chinese medicines including glechoma longituba, rumex madaio, saxifraga stolonifera, sabia parviflora, phoenix-tail fern, scutellaria baicalensis, golden cypress and andrographis paniculata according to a specific weight ratio, and the Danyankang preparation has the effects of clearing heat, promoting diuresis, detoxifying and dispersing blood stasis. The core pathogenesis of the NASH damp-heat accumulation syndrome is precisely matched. A single-arm and multi-center clinical research shows that the preparation can remarkably improve the main curative effect index liver / spleen CT ratio of NASH (damp-heat accumulation syndrome) patients, effectively relieve traditional Chinese medicine clinical symptoms (the total effective rate of traditional Chinese medicine syndromes is 94.44%) such as hypochondrium swelling pain, bitter taste, heavy body and drowsiness), and is good in safety and free of adverse reactions related to drugs. According to the invention, new indications for treating NASH (damp-heat accumulation syndrome) are expanded for Chinese patent medicines on the market, and a treatment choice which is definite in curative effect, safe and accessible is provided.

Systems for visualization and management of a study have an input device, a user interface, controls, and a database storing a visit schedule about the study and visit data about a participant. Visit schedule has a first node and second node. The participant visit data has a current visit associated with the first node. The user interface visually associates the first node with a first graphic and with a current visual attribute, and the second node with a second graphic. Responsive to the controls, the user interface associates the second node with the current visit and visually associates the current node graphic with the second node. Visit schedule may have a third node selected from a jump, cycle, exit, and other nodes. The third node is associated with an occurred visit in the visit data, and the user interface can visually associate an occurred visual attribute with the third node.

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.

In one embodiment, a method includes receiving, via graphical user interface of a clinical study tool, a user input including one or more user selected sub-categories from one or more categories associated with a clinical study; selecting, for each clinical-study metric of a plurality of clinical-study metrics, a model from either a baseline model or one of a plurality of category-specific machine-learning models to predict the clinical-study metric using a model performance lookup table; predicting values for the plurality of clinical-study metrics using corresponding selected models; generating one or more predictions for assessing the clinical study based on the predicted values for the plurality of clinical-study metrics; and displaying, via the graphical user interface of the clinical study tool, the one or more predictions for assessing the clinical study.