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 machine-learned model to diagnose patients with a rare disease based on medical data/records, and methods of training such a model are disclosed. A computer implemented method is disclosed for generating a training dataset for training a machine-learning model to identify individuals with a rare disease. the method comprises: generating, from medical literature associated with the rare disease and using natural language processing, an embedding vector for each of a plurality of terms associated with the rare disease; receiving an initial dataset comprising medical data relating to a plurality of individuals with the rare disease; combining the initial dataset with a control dataset comprising a plurality of individuals without the rare disease; and generating, for each individual in the combined dataset, an embedding vector representing the individual based on features associated with the individual and the embedding vectors for the plurality of terms associated with the rare disease.

Abstract: A machine-learned model to diagnose patients with a rare disease based on medical data/records, and methods of training such a model are disclosed. A computer implemented method is disclosed for generating a training dataset for training a machine-learning model to identify individuals with a rare disease. The method comprises: receiving an initial dataset comprising medical data relating to a plurality of individuals with the rare disease; identifying a plurality of clusters of individuals in the initial dataset; identifying one or more of the clusters as being least representative of the rare disease; removing one or more of the individuals from the one or more clusters identified as being least representative based on the medical data of said one or more individuals to generate a pruned dataset; and combining the pruned dataset with a control dataset comprising a plurality of individuals without the rare disease to generate the training dataset.

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.