Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.

Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.

Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.

Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.

Abstract: Provided are ex vivo systems and methods of predicting the response of a drug or other agent on a tissue. In some embodiments, the systems and methods comprise cutting a tissue into tissue fragments, adding a drug or other agent to the tissue fragments based on an estimated tumor content, and performing an ex vivo measurement on the tissue fragments.

Abstract: A method and system for scheduling a callback time for customer service. The system calculates estimated handling resources for a customer interaction system (14) and forecasts a customer service transaction workload for the estimated handling resources of the customer interaction system (14). The system then determines the scheduled callback time based upon the estimated handling resources and the forecasted customer service transaction workload.

Abstract: A method and system for scheduling a callback time for customer service. The system calculates estimated handling resources for a customer interaction system (14) and forecasts a customer service transaction workload for the estimated handling resources of the customer interaction system (14). The system then determines the scheduled callback time based upon the estimated handling resources and the forecasted customer service transaction workload.

Abstract: A method to determine transaction distribution among a plurality of transaction processing systems may include calculating estimated handling resources for each of the plurality of transaction processing systems based upon measured actual handling resources and identified scheduled handling resources. Transaction allocations may be determined for each of the transaction processing systems based upon the estimated handling resources.

Abstract: A method to determine transaction distribution among a plurality of transaction processing systems may include calculating estimated handling resources for each of the plurality of transaction processing systems based upon measured actual handling resources and identified scheduled handling resources. Transaction allocations may be determined for each of the transaction processing systems based upon the estimated handling resources.

Abstract: A method and apparatus for performing customer service request allocations based upon real-time data and forecast data, calculates estimated handling resources for each of the transaction processing systems based upon actual handling resources and scheduled handling resources. Customer service transaction workloads are forecasted for the handling resources for each of the transaction processing systems. Then, customer service request allocations are determined using estimated handling resources and the forecasted customer service transaction workload.

Abstract: A method and apparatus for performing customer service request allocations based upon real-time data and forecast data, calculates estimated handling resources for each of the transaction processing systems based upon actual handling resources and scheduled handling resources. Customer service transaction workloads are forecasted for the handling resources for each of the transaction processing systems. Then, customer service request allocations are determined using estimated handling resources and the forecasted customer service transaction workload.

Abstract: A method and apparatus are provided for performing staffing-based percentage-allocation routing using real-time data. According to one aspect of the present invention, transaction allocation is determined using both scheduled and actual handling resources. Actual handling resources associated with each of several transaction processing systems, such as automatic call distributors (ACDs), are measured at times t and t+n. Scheduled handling resources associated with each of the transaction processing systems for times t and t+n are also identified. Then, estimated handling resources are calculated for each of the transaction processing systems for time t+n based upon the actual handling resources and the scheduled handling resources. Finally, based upon the estimated handling resources, transaction allocations for each of the transaction processing systems are determined. According to another aspect of the present invention, a virtual call center is provided.