Abstract: In one embodiment, a method includes accessing a sequence of raw images comprising at least a first raw image, a second raw image, and a third raw image sequentially, wherein the second raw image comprises image noise, warping the first and third raw images with respect to the second raw image based on an optical flow associated with the sequence of raw images, generating an input tensor based on the first warped raw image, the second raw image, and the third warped raw image, and generating a denoised raw image based on one or more machine-learning models for the second raw image based on the input tensor.

Abstract: Provided herein are high throughput methods for optimizing and manufacturing various lipid nanoparticle (LNP) compositions and uses thereof. For example, in some embodiments, the present disclosure provides a high-throughput screening method for manufacturing a LNP composition comprising, obtaining at least two intermixable solutions comprising a payload and a plurality of molecules capable of self-assembly and mixing said at least two solutions under a set of controlled conditions, by which injection sequence, speed, volume, phase ratio and mixing duration are varied. In various embodiments, the present disclosure enables optimal encapsulation efficiency, particle size distribution, purification and particle recovery rate, and formulation stability to be determined. The methods disclosed herein enable efficient optimization of manufacturing conditions for preparation of LNP-based therapeutics.

Abstract: The present application relates to the field of biomedicine, and relates to a combined pharmaceutical composition for treating biliary tract tumor, liver cancer, triple negative breast cancer or lung cancer. The combined pharmaceutical composition comprises an anti-PD-L1 antibody and anlotinib, and has good anti-biliary tract tumor, liver cancer, triple negative breast cancer or lung cancer activity.

Abstract: The present invention provides use of salidroside and a derivative thereof in preparation of an inhibitor medicament for treating diseases, such as opthmalmic fibrosis, caused by abnormalities of extracellular matrix proteins. The present invention treats and prevents diseases associated with ocular fibrosis such as glaucoma, by inhibiting the expression of extracellular matrix proteins in the eye to prevent fibrosis. The present invention further provides use of an inhibitor medicament for treating and preventing diseases, such as opthmalmic fibrosis, caused by abnormalities of extracellular matrix proteins, the inhibitor medicament comprising an effective amount of salidroside and a derivative thereof as active ingredients.

Abstract: The present invention relates to polymers associated with (e.g., complexed, conjugated, encapsulated, absorbed, adsorbed, admixed) bio macromolecule agents (e.g., peptides, neo-antigens, adjuvant molecules, nucleic acids, etc.) configured for treating, preventing or ameliorating various types of disorders, and methods of synthesizing the same. In particular, the present invention is directed to compositions comprising polymer moieties (e.g., poly(L-glutamic acid moieties)) associated with biomacromolecule agents, methods for synthesizing such polymer conjugates, as well as systems and methods utilizing such polymer conjugates.

Abstract: The present disclosure relates to a method for human-machine interaction in a storage unit, a storage unit, and a storage medium. The method includes: detecting a user behavior in a preset area, the preset area including a sensing area of the storage unit; extracting voice information and/or facial information of a user according to the user behavior; determining a target position of an item of interest to the user according to the voice information and/or facial information; obtaining an item identification corresponding to the target position according to a preset corresponding relationship between a position of a stored item and an identification of a stored item in the storage unit; and pushing item information corresponding to the item identification. Based on the disclosure, the user can know the item information that he/she is interested in, and the problems of the traditional mode of shopping consumption can be solved.

Abstract: The present disclosure relates to a method for human-machine interaction in a storage unit, a storage unit and a storage medium. The method includes: detecting a user behavior in a preset sensing area, the preset sensing area being a sensing area of the storage unit; extracting and analyzing grabbing behavior feature information corresponding to the user behavior; determining a target position that a user grabs for based on the grabbing behavior feature information; obtaining a target item identification of a stored item corresponding to the target position based on a preset corresponding relationship between a storage dividing position and a corresponding stored item; and pushing corresponding information of the target item identification.

Abstract: Provided herein are liposomal particles. In particular, provided herein are liposomal particles comprising molecules (e.g., antigens or drugs) and uses thereof (e.g., as a vaccine (e.g., intranasal vaccine) or drug delivery system). For example, in some embodiments, the present disclosure provides a composition comprising: a molecule encapsulated in a liposome comprising one or more cationic lipids and hyaluronic acid (HA). In some embodiments, the one or more lipids are DOTAP and/or DOPE. In some embodiments, the HA is thiolated. In some embodiments, the thiolated HA is conjugated to thiolated PEG.

Abstract: Provided herein are liposomal particles. In particular, provided herein are liposomal particles comprising molecules (e.g., antigens or drugs) and uses thereof (e.g., as a vaccine (e.g., intranasal vaccine) or drug delivery system). For example, in some embodiments, the present disclosure provides a composition comprising: a molecule encapsulated in a liposome comprising one or more cationic lipids and hyaluronic acid (HA). In some embodiments, the one or more lipids are DOTAP and/or DOPE. In some embodiments, the HA is thiolated. In some embodiments, the thiolated HA is conjugated to thiolated PEG.