Abstract: Systems, methods, and computer-readable medium are provided for healthcare analysis. Data corresponding to a plurality of patients is received. The data is parsed to generate normalized data for a plurality of variables, with normalized data generated for more than one variable for each patient. A causal relationship network model is generated relating the plurality of variables based on the generated normalized data using a Bayesian network algorithm. The causal relationship network model includes variables related to a plurality of medical conditions or medical drugs. In another aspect, a selection of a medical condition or drug is received. A sub-network is determined from a causal relationship network model. The sub-network includes one or more variables associated with the selected medical condition or drug. One or more predictors for the selected medical condition or drug are identified.

Abstract: The present invention is directed, in part, to methods of treating Epidermolysis Bullosa (EB) in a subject in need thereof, comprising topical administration of a pharmaceutical composition comprising a therapeutically effective amount of a of Coenzyme Q10 (CoQ10) to the subject.

Abstract: Methods for identifying a modulator of angiogenesis and methods for modulating angiogenesis in a mammalian subject are described herein. In some embodiments, the methods include obtaining data sets from a model for angiogenesis and generating a causal relationship network model based on the obtained data. In some embodiments, the methods include identifying, from the causal relationship network model, a causal relationship unique in angiogenesis, where a gene, lipid, protein, metabolite, transcript, or SNP associated with the unique causal relationship is identified as a modulator of angiogenesis.

Abstract: Methods for diagnosing the presence of BCR in prostate cancer in a subject are provided, such methods including the detection of levels of a variety of biomarkers diagnostic of BCR. Compositions in the form of kits and panels of reagents for detecting the biomarkers of the invention are also provided.

Abstract: Methods and formulations for treating oncological disorders in humans using Coenzyme Q10 are described.

Abstract: The present invention encompasses filamin A (FLNA) binding proteins. Specifically, the invention relates to antibodies to FLNA. An antibody of the invention can be a full-length antibody or an antigen-binding portion thereof. Methods of making and methods of using the antibodies of the invention in methods of diagnosis, monitoring and prognosis of prostate cancer are also provided.

Abstract: Systems, methods, and computer-readable medium are provided for healthcare analysis. Data corresponding to a plurality of patients is received. The data is parsed to generate normalized data for a plurality of variables, with normalized data generated for more than one variable for each patient. A causal relationship network model is generated relating the plurality of variables based on the generated normalized data using a Bayesian network algorithm. The causal relationship network model includes variables related to a plurality of medical conditions or medical drugs. In another aspect, a selection of a medical condition or drug is received. A sub-network is determined from a causal relationship network model. The sub-network includes one or more variables associated with the selected medical condition or drug. One or more predictors for the selected medical condition or drug are identified.