Abstract: The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of two or more genes, in combination, to identify individuals with increased or decreased risk of cancer. Exemplified is risk assessment for breast cancer in women. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

Abstract: A hardware-based file system includes multiple linked sub-modules that perform functions ancillary to client data handling. Each sub-module is associated with a metadata cache. A doubly-rooted structure is used to store each file system object at successive checkpoints. Metadata is stored within an object and/or as a separate object. Provisions are made for allocating sparse objects. A delayed write feature is used for writing certain objects into non-volatile storage. Checkpoints can be retained as read-only versions of the file system. Modifications to the file system are accomplished without affecting the contents of retained checkpoints. The file system can be reverted to a retained checkpoint. Multiple file servers can be interconnected as a cluster, and each file server stores requests from another file server. Interconnections between file servers can be dynamically modified. A distributed locking mechanism is used to control access to file system objects stored by the file servers.

Abstract: The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of selected genes, and particular combinations of genotypes, to identify individuals with increased or decreased risk of breast cancer. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

Abstract: The present invention relates generally to the fields of neuroscience, growth factors and depression. More particularly, the present invention addresses the need in the art for methods and compositions for treating neurological disorders such as depression, anxiety, panic disorder, bi-polar disorder, insomnia, obsessive compulsive disorder, dysthymic disorder and schizophrenia. In certain embodiments, the invention relates to non-covalent binding interactions between insulin-like growth factors (IGFs) and IGF binding proteins (IGFBPs).

Abstract: The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of two or more genes, in combination, to identify individuals with increased or decreased risk of cancer. Exemplified is risk assessment for breast cancer in women. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

Abstract: The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of two or more genes, in combination, to identify individuals with increased or decreased risk of cancer. Exemplified is risk assessment for breast cancer in women. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.

Abstract: Methods and computer readable media for statistically identifying an increased risk for disease. In one embodiment, resampling techniques are utilized to consider different genotype combinations within a resampling subset of a case/control data set. Odds-ratios and theoretical p-values are calculated for each genotype combination so that an increased risk of disease associated with a particular genotype combination may be identified. In another embodiment, different genotype combinations within a case/control data set are considered. Odds ratios are calculated for each genotype combination. Empirical p-values are calculated for the odds ratios through randomization techniques. Using the odds-ratios and/or empirical p-values, an increased risk for disease associated with a particular genotype combination may be identified.

Abstract: An apparatus in one embodiment handles service requests over a network, wherein the network utilizes a protocol. In this aspect, the apparatus includes: a network subsystem for receiving and transmitting network service requests using the network protocol; and a service subsystem, coupled to the network subsystem, for satisfying the network service requests. At least one of the network subsystem and the service subsystem is hardware-implemented; the other of the network subsystem and the service subsystem may optionally be hardware-accelerated. A variety of related embodiments are also provided, including file servers and web servers.

Abstract: The present invention provides new methods for the assessment of cancer risk in the general population. These methods utilize particular alleles of two or more genes, in combination, to identify individuals with increased or decreased risk of cancer. Exemplified is risk assessment for breast cancer in women. In addition, personal history measures such as age and race are used to further refine the analysis. Using such methods, it is possible to reallocate healthcare costs in cancer screening to patient subpopulations at increased cancer risk. It also permits identification of candidates for cancer prophylactic treatment.