Abstract: Disclosed are methods of treating various disorders with anti-IL-4R? antibodies and fragments thereof.

Abstract: Disclosed are methods of treating various disorders with anti-IL-4R? antibodies and fragments thereof.

Abstract: Disclosed are methods of treating various disorders with anti-IL-4R? antibodies and fragments thereof.

Abstract: Disclosed are methods of treating various disorders with anti-IL-4R? antibodies and fragments thereof.

Abstract: A cell sampler is configured to sense, with the sensors, physical phenomena of biological cells in a sample receiver; and transmit, to processing apparatus, sensor-data generated from the sensing of the biological cells. Processing is configured to: receive, from the cell sampler, the sensor-data; identify, using the sensor-data, individual cells of the biological cells; for each individual cell: generate, using the sensor-data, a cell type for the individual cell; generate, using the sensor-data, a feature vector for the individual cell; classify, using the sensor-data, at least some cell types as uncommon; for each uncommon cell type: access the feature vectors of individual cells of the uncommon cell type; generate bootstrap vectors for the uncommon cell type by applying noise to the feature vectors of individual cells of the uncommon cell type; and generate a cell-corpus by aggregating the bootstrap and feature vectors.

Abstract: Disclosed are methods of treating various disorders with anti-IL-4R? antibodies and fragments thereof.

Abstract: Data processing systems for repurposing a drug can include a computer-readable memory including computer-executable instructions; and at least one processor configured to execute executable logic including the computer-executable instructions and at least one machine learning model to perform one or more operations. The one or more operations can include receiving data representing medical records of a plurality of patients; selecting a set of patients; determining a plurality of patient characteristics of the set of patients; grouping, in accordance with the plurality of patient characteristics, the set of patients to generate a plurality of distinct groups, each of the distinct groups including at least one patient of the set of patients; selecting, based on one or more group selection criteria, a set of distinct groups of the plurality of distinct groups; and identifying one or more relevant patient characteristics by analyzing each distinct group of the set of distinct groups.