Abstract: A network-implemented integrated modeling system for genetic risk estimation uses guideline factor information and other input information to determine models usable for estimating genetic risk of disease in patients. Models are determined using established network connections with external sources. Health history information is collected from a patient, which is then processed against a relevant model to estimate the genetic risk of a disease corresponding to that model in that patient. Based on results of the estimation, a pedigree chart representing personal and family risk for the patient is generated and output to the patient and/or health care representatives of the patient. The results may be disseminated to one or more distributed computing environments from a central server which performs the genetic risk estimation. In some cases, follow-up validations performed using further collected data are used to update the constraints used to determine the models.

Abstract: Provided are agents that can bind to copper, and form a tripartite complex with protein, and the use of these agents in the prevention and treatment of diseases with a vascular component, such as solid tumors. Compositions and methods for combination therapy of these diseases, including cancer, as well as therapeutic kits, are also provided.