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.
Type:
Grant
Filed:
October 3, 2019
Date of Patent:
August 22, 2023
Assignee:
BPGBio, Inc.
Inventors:
Niven Rajin Narain, Viatcheslav R. Akmaev, Vijetha Vemulapalli