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1.发明公开公开(公告)号：US20240295495A1
公开(公告)日：2024-09-05
申请号：US18388130
申请日：2023-11-08
CPC分类号： G01N21/6428 , C12Q1/06 , G01N33/15 , G01N2333/005 , G01N2500/20
摘要： Evaluating viral clearance of a sample including a drug of interest is performed via modified viral surrogate nanoparticles that mimic a target live virus equivalent. The nanoparticles include fluorescent materials and a viral surface-mimicking layer that physicochemically mimics the external surface of the target live virus equivalent. One or more capsid proteins of the live virus are bound to the nanoparticle core (for non-enveloped viruses) or incorporated into a lipid bilayer (for enveloped viruses). A process solution is formed by adding the nanoparticles to the sample. The solution is subjected to purification steps to eliminate impurities, forming a product process solution. The product process solution is filtered through a dead-end flow nanofiltration membrane separator configured to bind the fluorescent nanoparticles. A load process solution is filtered as well. Baseline decomposition of the fluorescence intensity measurements from the separate membranes can, upon application of a standard curve indicate the relative nanoparticle concentration and thus the efficacy of the purification steps against the target live virus equivalent.
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公开(公告)号：US20240070938A1
公开(公告)日：2024-02-29
申请号：US18238605
申请日：2023-08-28
IPC分类号： G06T11/00
CPC分类号： G06T11/008 , G06T11/005 , G06T2211/412 , G06T2211/428 , G06T2211/441
摘要： In one embodiment, there is provided a dynamic multi-source image reconstruction apparatus. The apparatus includes a first reconstruction stage, a second reconstruction stage, and a refinement stage. The first reconstruction stage is configured to receive an input data set including a group of data frames. Each data frame corresponds to a respective time step. Each data frame includes a number of projection data sets. Each projection data set corresponds to a respective source-detector pair of a stationary multi-source tomography system. The first reconstruction stage is further configured to reconstruct a first intermediate image based, at least in part, on the group of data frames. The second reconstruction stage is configured to receive a selected data frame and to reconstruct a second intermediate image with a constraint of the first intermediate image as prior. The refinement stage is configured to refine the second intermediate image to produce a three-dimensional output image.
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公开(公告)号：US20240047071A1
公开(公告)日：2024-02-08
申请号：US18216679
申请日：2023-06-30
发明人： Deepak Vashishth , Bowen Wang
CPC分类号： G16H50/30 , A61B5/7275 , A61B5/4504 , A61B5/14532
摘要： A method of predicting bone fracture risk in a type 2 diabetes (“T2D”) patient includes: obtaining a plurality of averaged glycated hemoglobin (“HbA1c”) values for a plurality of T2D subjects over an observational period; binning the plurality of averaged HbA1c values into two predetermined categories; obtaining a plurality of total fracture incidences for the plurality of T2D subjects over a follow-up period; performing a plurality of linear regression model correlations between the binned HbA1c values and the plurality of total fracture incidences to determine a bone fracture rate prediction model; obtaining a measurement of an HbA1c value of the T2D patient; and analyzing the HbA1c value of the T2D patient with the bone fracture rate prediction model to determine the T2D patient's risk of bone fracture for a future period.
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公开(公告)号：US11893661B2
公开(公告)日：2024-02-06
申请号：US17194946
申请日：2021-03-08
申请人： University of Iowa Research Foundation , Shandong University , Shandong Provincial Chest Hospital , Rensselaer Polytechnic Institute
发明人： Wenxiang Cong , Ye Yangbo , Ge Wang , Shuwei Mao , Yingmei Wang
CPC分类号： G06T11/006 , A61B6/032 , G06T11/003 , G06T11/005 , G06T2211/408 , G06T2211/424
摘要： The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.
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公开(公告)号：US11854160B2
公开(公告)日：2023-12-26
申请号：US17564728
申请日：2021-12-29
发明人： Ge Wang , Chenyu You , Wenxiang Cong , Hongming Shan
CPC分类号： G06T3/4076 , G06N3/045
摘要： A system for generating a high resolution (HR) computed tomography (CT) image from a low resolution (LR) CT image is described. The system includes a first generative adversarial network (GAN) and a second GAN. The first GAN includes a first generative neural network (G) configured to receive a training LR image dataset and to generate a corresponding estimated HR image dataset, and a first discriminative neural network (DY) configured to compare a training HR image dataset and the estimated HR image dataset. The second GAN includes a second generative neural network (F) configured to receive the training HR image dataset and to generate a corresponding estimated LR image dataset, and a second discriminative neural network (DX) configured to compare the training LR image dataset and the estimated LR image dataset. The system further includes an optimization module configured to determine an optimization function based, at least in part, on at least one of the estimated HR image dataset and/or the estimated LR image dataset. The optimization function contains at least one loss function. The optimization module is further configured to adjust a plurality of neural network parameters associated with at least one of the first GAN and/or the second GAN, to optimize the optimization function.
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公开(公告)号：US20230407016A1
公开(公告)日：2023-12-21
申请号：US18027712
申请日：2021-09-21
申请人： RENSSELAER POLYTECHNIC INSTITUTE , OTSUKA PHARMACEUTICAL FACTORY, INC. , OTSUKA CHEMECAL CO., LTD.
发明人： Pengyu XU
IPC分类号： C08J3/28 , C08J3/03 , A23L33/125 , A61K8/73
CPC分类号： C08J3/28 , C08J3/03 , A23L33/125 , A61K8/735 , A61K2800/82 , C08J2305/06 , C08J2305/10 , A61K2800/81 , C08J2305/08
摘要： A liquid material including a polysaccharide is manufactured by creating a mixture of polysaccharides and an aqueous solvent or an aqueous cosolvent with organic solvents at a temperature at which gelation does not occur. The mixture is also irradiated at this lower temperature, such as with ultrasound waves in combination with stirring and/or bubbling of inert gases. to apply ultrasound to a mixture of. Compared with conventional reactions with low concentration solutions, the product yield and advantageous mechanical properties are significantly increased. Depolymerization (decomposition, disassembly) of polysaccharide in the liquid material does not occur to any substantial degree, and the molecular structure of the polysaccharide is maintained. Further, the liquid material does not gel even when the temperature is raised, and thus, its fluidity is maintained, despite polysaccharides being maintained at a high concentration. The liquid material is applicable to myriad industries, including pharmaceuticals and health foods.
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公开(公告)号：US20230394631A1
公开(公告)日：2023-12-07
申请号：US18035571
申请日：2021-11-05
发明人： Ge Wang , Chuang Niu
IPC分类号： G06T5/00
CPC分类号： G06T5/002 , G06T2207/20081 , G06T2207/20084 , G06T2207/10056 , G06T2207/10081 , G06T2207/10076 , G06T2207/10088
摘要： One embodiment provides a method of training an artificial neural network (ANN) for denoising. The method includes generating, by a similarity module, a respective set of similar elements for each noisy input element of a number of noisy input elements included in a single noisy input data set. Each noisy input element includes information and noise. The method further includes generating, by a sample pair module, a plurality of training sample pairs. Each training sample pair includes a pair of selected similar elements corresponding to a respective noisy input element. The method further includes training, by a training module, an ANN using the plurality of training sample pairs. Each set of similar elements is generated prior to training the ANN. The plurality of training sample pairs is generated during training the ANN. The training is unsupervised.
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公开(公告)号：US11826746B2
公开(公告)日：2023-11-28
申请号：US17658627
申请日：2022-04-08
发明人： Chulsung Bae , Eun Joo Park , Sangtaik Noh , Michael Pagels
IPC分类号： B01J41/14 , B01J39/20 , C08J5/22 , H01M8/1072 , H01M8/1032 , H01M8/10
CPC分类号： B01J41/14 , B01J39/20 , C08J5/2287 , H01M8/1032 , H01M8/1072 , C08J2353/00 , H01M2008/1095
摘要： The electrochemical energy conversion system of the present disclosure includes an anode, a cathode, and an ion exchange membrane including a polymer having an aromatic polymer chain and an alkylated substrate including an alkyl chain, and at least one ionic group. The alkylated substrate is bound to at least one aromatic group in the polymer chain via Friedel-Crafts alkylation of the at least one aromatic group. The alkylation reaction utilizes a haloalkylated tertiary alcohol or a haloalkylated alkene as a precursor. In the presence of an acid catalyst, a carbocation is generated in the precursor which reacts with the aromatic rings of the polymer chain. The at least one ionic group is then replaced with a desired cationic or anionic group using a substitution reaction. The membranes exhibit advantageous stability achieved through a simplified and scalable reaction scheme.
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公开(公告)号：US11816136B2
公开(公告)日：2023-11-14
申请号：US17971635
申请日：2022-10-23
发明人： Lingfei Wu , Yu Chen , Mohammed J. Zaki
IPC分类号： G06F16/95 , G06F16/9032 , G06N5/02 , G06F16/332 , G06N20/00 , G06F40/30 , G06F17/16 , G06F16/901 , G06F17/18 , G06N3/04
CPC分类号： G06F16/3329 , G06F16/9024 , G06F17/16 , G06F17/18 , G06F40/30 , G06N3/04 , G06N20/00
摘要： For a passage text and a corresponding answer text, perform a word-level soft alignment to obtain contextualized passage embeddings and contextualized answer embeddings, and a hidden level soft alignment on the contextualized passage embeddings and the contextualized answer embeddings to obtain a passage embedding matrix. Construct a passage graph of the passage text based on the passage embedding matrix, and apply a bidirectional gated graph neural network to the passage graph until a final state embedding is determined, during which intermediate node embeddings are fused from both incoming and outgoing edges. Obtain a graph-level embedding from the final state embedding, and decode the final state embedding to generate an output sequence word-by-word. Train a machine learning model to generate at least one question corresponding to the passage text and the answer text, by evaluating the output sequence with a hybrid evaluator combining cross-entropy evaluation and reinforcement learning evaluation.
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公开(公告)号：US20230346618A1
公开(公告)日：2023-11-02
申请号：US18140736
申请日：2023-04-28
发明人： Eric H. Ledet , Michael Castello , Ryan Chien , Jeongwon Choi , Ruiqi Ma , Jacqueline Ray
CPC分类号： A61G7/1059 , A61G15/02 , A61G2200/34
摘要： In one embodiment, there is provided a system for applying therapy to a human body. The system includes a coupling apparatus and a supporting apparatus. The coupling apparatus is configured to couple to an upper body portion of a user. The supporting apparatus is configured to support at least a portion of a weight of the user. An amount of weight that is supported is adjustable. In some embodiments, the system may further include a control apparatus configured to control at least one of a state and/or a position of the supporting apparatus.
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