125 results about "Multi organ" patented technology

Methods for the treatment of acute renal failure, multi-organ failure, early dysfunction of kidney transplant, chronic renal failure, organ dysfunction, and wound healing are provided. The methods include delivering a therapeutic amount of hematopoietic stem cells, non-hematopoietic, mesenchymal stem cells, hemangioblasts, and pre-differentiated cells to a patient in need thereof.

Fluidic multiwell bioreactors are provided as a microphysiological platform for in vitro investigation of multi-organ crosstalks for an extended period of time of at least weeks and months. The disclosed platform is featured with one or more improvements over existing bioreactors, including on-board pumping for pneumatically driven fluid flow, a redesigned spillway for self-leveling from source to sink, a non-contact built-in fluid level sensing device, precise control on fluid flow profile and partitioning, and facile reconfigurations such as daisy chaining and multilayer stacking. The platform supports the culture of multiple organs in a microphysiological, interacted systems, suitable for a wide range of biomedical applications including systemic toxicity studies and physiology-based pharmacokinetic and pharmacodynamic predictions. A process to fabricate the disclosed bioreactors is also provided.

A method and system for segmenting multiple organs in medical image data is disclosed. A plurality of landmarks of a plurality of organs are detected in a medical image using an integrated local and global context detector. A global posterior integrates evidence of a plurality of image patches to generate location predictions for the landmarks. For each landmark, a trained discriminative classifier for that landmark evaluates the location predictions for that landmark based on local context. A segmentation of each of the plurality of organs is then generated based on the detected landmarks.

The invention discloses an abdomen CT (Computed Tomography) image multi-organ segmentation method based on a superpixel. The method comprises the following steps that: preprocessing an abdomen CT image, wherein the preprocessing comprises the filtering and the gray scale mapping of the abdomen CT image; utilizing correlation between an upper layer and a lower layer in an image in an abdomen CT image set; in addition, using a K-means clustering method which takes fused Euclidean distance and gray scale distance as a measurement distance to segment the abdomen CT image into superpixel blocks; after the superpixel blocks are subjected to feature extraction, adopting an extreme learning machine to be combined with a position and gray scale statistical probability model to classify the superpixel blocks; and then, combining classified superpixel blocks, and obtaining an abdomen CT image multi-organ segmentation result. By use of the method provided by the invention, the abdomen CT image canbe accurately subjected to multi-organ segmentation, a calculated amount is lowered to a pixel block level from a pixel level, the calculated amount is greatly lowered, and abdomen CT image multi-organ segmentation speed is quickened.

A polymeric chip having at least one three-dimensional porous scaffold, a microfluidic channel inlet to the porous scaffold, and a microfluidic channel outlet from the porous scaffold. In one embodiment, the polymeric chip has two three-dimensional porous scaffolds: one scaffold comprises liver cells and the other scaffold comprises cancer cells. The chip can be used as a multi-organ tissue model system.

The present invention provides compounds of formula (I) or (Ia) which are ligands binding to the HDM2 protein, inducing apoptosis and inhibiting proliferation, and having therapeutic utility in cancer therapy and prevention.

Compounds of formula (I) or (Ia) can be used as therapeutics for treating stroke, myocardial infarction, ischemia, multi-organ failure, spinal cord injury, Alzheimer's Disease, injury from ischemic events and heart valvular degenerative disease.

Moreover, compounds of formula (I) or (Ia) can be used to decrease the side effects from cytotoxic cancer agents, radiation and to treat viral infections.

The invention discloses an abdominal multi-organ nuclear magnetic resonance image segmentation method and system based on FCN, and a medium. The abdominal multi-organ nuclear magnetic resonance imagesegmentation method comprises the following implementation steps: acquiring an input image and carrying out data preprocessing and image normalization operation; inputting the normalized abdominal multi-organ nuclear magnetic resonance image into a trained high-resolution full convolutional neural network model to obtain a final prediction image, wherein the high-resolution full convolutional neural network model is pre-trained to establish a mapping relationship between the normalized abdominal multi-organ nuclear magnetic resonance image and the corresponding final prediction image; and activating the final prediction graph by using an activation function to obtain a prediction score graph, and taking a category with the highest prediction score at each pixel position as a prediction label category of the pixel position to obtain a final segmentation prediction graph. According to the abdominal multi-organ nuclear magnetic resonance image segmentation method, automatic segmentation of the abdominal multi-organ nuclear magnetic resonance image can be realized, for example, the abdominal multi-organ MR image is segmented according to five different region types of an organ-free region, a liver region, a right kidney region, a left kidney region and a spleen region.

The invention discloses a contour perception multi-organ segmentation network construction method based on class-by-class convolution operation. The contour perception multi-organ segmentation networkconstruction method comprises the following steps: 1, performing region coarse segmentation and edge detection on multiple organs of the abdomen; 2, introducing a semantic-guided class-by-class multi-scale attention mechanism; step 3, performing class-by-class fusion of multi-branch information; step 4, performing introduction of multi-task loss. According to the invention, the advantages of a convolutional neural network and a gated recurrent neural unit are utilized, and for the characteristics and difficulties of a multi-organ segmentation task, via the contour information assisted multi-scale feature extraction, a class-by-class multi-scale semantic attention mechanism, a class-by-class cavity convolution fusion mechanism and a plurality of loss functions can be introduced to relievethe inter-class imbalance problem of organs; multi-organ segmentation is performed on a three-dimensional CT image more efficiently and accurately, and the advantages of the invention are verified ona data set containing 14 types of organ labels; the invention can be widely applied to computer-aided diagnosis and treatment application, such as endoscopic surgery, interventional therapy and radiotherapy plan making.

An orally-taken Chinese medicine in the form of powder or others for treating the calculosis of multiple organs is prepared from 24-25 Chinese-medicinal materials including scutellaria root, phellodendron bark, capejasmine fruit, tuckahoe, etc. Its preparing process is also disclosed.

An application of the Chinese medicine prepared from red sage root, notoginseng and borneol in preparing the medicines for treating multi-organ injury caused by metabolic syndrome is disclosed.

Fluidic multiwell bioreactors are provided as a microphysiological platform for in vitro investigation of multi-organ crosstalks with microbiome for an extended period of time of at least weeks and months. The platform has one or more improvements over existing bioreactors, including on-board pumping for pneumatically driven fluid flow, a redesigned spillway for self-leveling from source to sink, a non-contact built-in fluid level sensing device, precise control on fluid flow profile and partitioning, and facile reconfigurations such as daisy chaining and multilayer stacking. The platform supports the culture of multiple organs together with microbiome in a microphysiological, interacted systems, suitable for a wide range of biomedical applications including systemic toxicity studies and physiology-based pharmacokinetic and pharmacodynamic predictions. A process to fabricate the bioreactors is also provided.

The present invention provides a compound selected from compounds of formula I as ligand binding to the HDM2 protein, inducing apoptosis and inhibiting proliferation, and having therapeutic utility in cancer therapy. Compounds of formula (I) can be used as therapeutics for treating stroke, myocardial infarction, ischemia, multi-organ failure, spinal cord injury, Alzheimer's Disease, injury from ischemic events, heart valvular degenerative disease Moreover, compounds of formula (I) can be used to decrease the side effects from cytotoxic cancer agents and to treat viral infections.

Compositions for the treatment of shock, autodigestion, multi-organ failure, intestinal ischemia, or intestinal hypoperfusion are provided.