Abstract: The present invention provides diagnostic methods, therapeutic methods, and compositions for the treatment of cancer (e.g., kidney cancer (e.g., renal cell carcinoma (RCC)). The invention is based, at least in part, on the discovery that expression levels of one or more biomarkers described herein in a sample from an individual having cancer can be used in methods of predicting the therapeutic efficacy of treatment with a VEGF antagonist (e.g., an anti-VEGF antibody, (e.g., bevacizumab) or a VEGFR inhibitor (e.g., a multi-targeted tyrosine kinase inhibitor (e.g., sunitinib, axitinib, pazopanib, or cabozantinib))) and a PD-L1 axis binding antagonist (e.g., a PD-L1 binding antagonist (e.g., anti-PD-L1 antibody, e.g., atezolizumab (MPDL3280A)) or a PD-1 binding antagonist (e.g., anti-PD-1 antibody)), or with an angiogenesis inhibitor (e.g., a VEGF antagonist (e.g., a VEGFR inhibitor, (e.g., a multi-targeted tyrosine kinase inhibitor (e.g., sunitinib, axitinib, pazopanib, or cabozantinib)))).

Abstract: A system comprises an expected bad debt generator for generating probabilities of bad debt based on payer, types of services and or products rendered, and account information; a contract modeling engine for generating contractual adjustment factors based on contracts between payer and service providers, a gross net conversion generator for generating gross net conversion factors based on payer and account information; a priority calculating engine for prioritizing accounts and batches of accounts; a collector assignment engine for assigning the accounts to one or more collectors based on a predetermined collector assignment algorithm; an account batching engine for grouping accounts into batches for the purpose of best utilizing payer contacts; and a worklist generator for generating a worklist for each collector, the worklist identifying a prioritization order of one or more payers for the collector to contact to collect debt, the prioritization order being based on a predetermined prioritization algorithm.

Abstract: Various embodiments described herein provide for systems and methods that manage or otherwise facilitate bidding processes on services (e.g., healthcare services) provided by service providers (e.g., healthcare providers). Such systems and methods may manage or otherwise facilitate solicitation of bids from one or more service providers for a desired service, arrangement (e.g., scheduling) of the desired service based on bidding processes, pre-payment for the desired service before the desired service has been provided, or review of the desired service or a service provider after the desired service has been provided by the service provider.

Abstract: Various embodiments provides for systems and methods that allow for a user to manage their healthcare data and intelligently control access to such healthcare data by healthcare providers, family, friends, and others. According to some embodiments, a system or method stores, on a datastore, healthcare data associated with a first user, establishes an association between the first user and a second user, and controls data access privileges of the second user to the healthcare data on the datastore, where the controlling the data access privileges are based on the association between the first user and the second user. The system or method can access a first subset of data from the healthcare data based on the data access privileges of the second user, and issue or schedule a notification with respect to the second user based on the first subset of data.

Abstract: A system comprises at least one financial information management system storing financial data, the financial data including transaction data and account data for at least one account; a data aggregation system operative to retrieve data from the at least one financial information management system, to age the data relative to an aging date based on an account characteristic in addition to or instead of a transaction date, and to aggregate the aged data according to one or more predetermined rules; and a report generation system operative to generate reports from the aged and aggregated data.

Abstract: A system comprises an expected bad debt generator for generating probabilities of bad debt based on payer, types of services and or products rendered, and account information; a contract modeling engine for generating contractual adjustment factors based on contracts between payer and service providers, a gross net conversion generator for generating gross net conversion factors based on payer and account information; a priority calculating engine for prioritizing accounts and batches of accounts; a collector assignment engine for assigning the accounts to one or more collectors based on a predetermined collector assignment algorithm; an account batching engine for grouping accounts into batches for the purpose of best utilizing payer contacts; and a worklist generator for generating a worklist for each collector, the worklist identifying a prioritization order of one or more payers for the collector to contact to collect debt, the prioritization order being based on a predetermined prioritization algorithm.

Abstract: A system comprises at least one financial information management system storing financial data, the financial data including transaction data and account data for at least one account; a data aggregation system operative to retrieve data from the at least one financial information management system, to age the data relative to an aging date based on an account characteristic in addition to or instead of a transaction date, and to aggregate the aged data according to one or more predetermined rules; and a report generation system operative to generate reports from the aged and aggregated data.