Abstract: The present invention provides antibodies, or antigen-binding portions thereof, which specifically bind to IL-2 and reduce the affinity of IL-2 binding to IL-2R? and IL-2R?. The invention further provides a method of obtaining such antibodies and nucleic acids encoding the same. The invention further relates to compositions and therapeutic methods for use of these antibodies for the treatment and/or prevention of autoimmune diseases, disorders or conditions and for immunosuppression, including, but not limited to, administering a complex comprising the antibody and IL-2.

Abstract: Provided are methods for determining the presence or absence of donor specific antibodies in a biological sample. The methods include mixing a cellular sample from a donor with a biological sample from a recipient under conditions sufficient for recipient immune antibodies, if present, to bind to donor cell surface antigen (Ag) to form an immune antibody-Ag complex, contacting the mixture with beads comprising an antibody that specifically binds the immune antibody-Ag complex (e.g., the Ag or immune antibody) on a surface thereof, adding under lysis conditions a detectably-labeled antibody that specifically binds the immune antibody-Ag complex bound to the beads, and detecting the presence or absence of the detectably-labeled antibody bound to the immune antibody-Ag complex to determine the presence or absence of donor specific antibodies in the biological sample from the recipient. Systems and kits for practicing the subject methods are also provided.

Abstract: Adaptable and customizable truss-like robots are provided. The robotic truss has robotic roller modules configured to translate along one or more pliable member and therewith control the shape or design of the robot.

Abstract: Inducible promoters for the coordinated expression of at least one heterologous gene in yeast and methods of using them are disclosed. In particular, the invention relates to sets of inducible promoters derived from S. cerevisiae and related species that can be induced in the presence of nonfermentable carbon sources.

Abstract: Systems and methods for radiology image classification from noisy images in accordance with embodiments of the invention are illustrated. One embodiment includes noisy image classification device, including a processor, camera circuitry, and a memory containing a noisy image classification application, where the noisy image classification application directs the processor to obtain image data describing a first image taken of a second image using the camera circuitry, where the second image was produced by a medical imaging device, and where the first image is a noisy version of the second image, classify the image data using a neural network trained to be robust to noise, generate an investigation recommendation based on the classification, and provide the investigation recommendation via a display.

Abstract: A method for optimization of photonic devices is disclosed. The method includes receiving a set of unconstrained latent variables; mapping the set of unconstrained latent variables to a constrained space to generate a constrained device; calculating the permittivity across each element of the constrained device; determining a permittivity-constrained width gradient based at least partially on the permittivity across each element; and optimizing the set of unconstrained latent variables by at least partially using the permittivity-constrained width gradient.

Abstract: A system and method for identifying and treating a disease in a patient collects one or more data streams from sensors configured to detect biological signals generated within a patient's tissue over time. Patient data elements including one or more of demographic, clinical, laboratory, pathology, chemical, image, historical, genetic, and activity data for the patient is collected and processed with the data streams to generate a personalized digital phenotype (PDP). The PDP is compared to a digital taxonomy comprising prior data to classify the patient into one or more quantitative disease classifications to guide personalized intervention for treating the patient.

Abstract: A distributed sensor network for soft growing robots is provided. Sensor bands are distributed at discrete intervals along the length of the flexible tube, and the sensor bands each are wrapped circumferentially around the diameter of the flexible tube. Each sensor band has one or more sensors and one or more semi-rigid islands containing a self-contained microcontroller, and one or more communication lines to an aggregator microcontroller located at the base of the soft growing robot communicatively connecting signals from the sensor bands. A casing laminates the distributed sensor network. In one example the encasing has cavities or a tooth geometry to allow bending. The casing is flexible to not hinder the growth of the soft growing robot, yet protecting the distributed sensor network.

Abstract: Provided are bifunctional molecules that include a first moiety that specifically binds a cell surface molecule or extracellular molecule, and a second moiety that specifically binds a lysosomal targeting molecule. The bifunctional molecules find use, e.g., for targeted degradation of cell surface and extracellular molecules (e.g., proteins) via the endosomal/lysosomal pathway. Also provided are compositions and kits that include the bifunctional molecules, as well as methods of using the bifunctional molecules. Methods of making bifunctional molecules are also provided.

Abstract: A stacked three-dimensional (3D) metasurface includes a first layer with a first kernel configured to apply a first convolution on a first frequency of an incident polarized light, and a second layer with a second kernel different than the first kernel. The second kernel is configured to apply a second convolution different than the first convolution on a second frequency of the incident polarized light and the second frequency is different than the first frequency such that the stack 3D metasurface provides at least two independent convolutions on the incident polarized light.

Abstract: Provided herein are materials and methods useful for facilitating transgene recombination. The present disclosure relates to, for example, techniques for manipulating recombination frequencies and generating organisms that contain multiple transgenic elements docking at the same locus on a single chromosome. The time consumed by the entire recombination process is proportional to the logarithm of the number of transgenes to be recombined.

Abstract: The present disclosure relates to a lithium secondary battery anode provided with an interfacial layer including a coordination compound and a method of manufacturing the same. The anode may include an anode current collector layer, an anode material layer disposed on the anode current collector layer and including lithium metal, and an interfacial layer disposed on the anode material layer and including a coordination compound.

Abstract: A device may obtain triaxial accelerometer training data for a plurality of subjects. A device may define a number of feature vectors for each time interval and each subject of the triaxial accelerometer data. A device may cluster the feature vectors of the triaxial training data into a number of clusters to obtain a cluster assignment for each of the feature vectors of each subject. A device may fit a hidden Markov model to the to the triaxial accelerometer training data cluster assignments. A device may identify at least one state for the subjects based on the cluster assignments.

Abstract: A method for self-supervised learning is described. The method includes generating a plurality of augmented data from unlabeled image data. The method also includes generating a population augmentation graph for a class determined from the plurality of augmented data. The method further includes minimizing a contrastive loss based on a spectral decomposition of the population augmentation graph to learn representations of the unlabeled image data. The method also includes classifying the learned representations of the unlabeled image data to recover ground-truth labels of the unlabeled image data.

Abstract: Methods are provided for treating a subject with for an intracellular pathogen infection, by administering an agent that reduces the binding of CD47 on a infected cell to SIRP? on a host phagocytic cell, in an effective dose for increasing the phagocytosis of infected cells.

Abstract: Engineered proteins, polynucleotides encoding such proteins, and methods of use thereof are provided, which engineered proteins enhance the sensitivity of a cell to IL-2.

Abstract: Markers of acute myeloid leukemia stem cells (AMLSC) are identified. The markers are differentially expressed in comparison with normal counterpart cells, and are useful as diagnostic and therapeutic targets.

Abstract: Processes and materials to detect cancer, transplant rejection, or fetal genetic abnormalities from a biopsy are described. In some cases, nucleic acid molecules, such as cell-free nucleic acids, can be sequenced, and the sequencing result can be utilized to detect sequences indicative of a neoplasm, transplant rejection, or fetal genetic abnormality. Detection of somatic variants occurring in phase and/or insertions and deletions (indels) can indicate the presence of cancer, transplant rejection, or fetal genetic abnormalities in a diagnostic scan, and a clinical intervention can be performed.

Abstract: Embodiments of the invention are generally directed to lignin-modifying enzymes and systems and methods of their manufacture. In many embodiments, yeast strains, including S. cerevisiae, are used to produce and secrete lignin-modifying enzymes Further embodiments are directed to methods to screening peroxidase-producing yeast strains, including S. cerevisiae. Additional embodiments are directed to an expression vector or cassette encoding for a protein of interest and one or more proteins to allow for surface to display of the protein of interest.

Abstract: Systems and methods for generating ligand compound structures are provided. A trained computational framework can utilize an initial core ligand compound structure to generate a ligand compound structure by iteratively adding atomic structures. At each iterative step, the computational framework can select a location for adding an atomic structure and can further select which atomic structure is to be added the selected location.