Abstract: Methods and systems for detecting threats using threat signatures loaded in a computing device.

Abstract: Disclosed herein are methods and systems for identfying genetic mutation and molecular alterations via imaging and clinical proxies using machine learning techniques. A processor can receive an image of a tumor of a patient. The processor can execute a first model to identify one or more visual attributes of the tumor using the image of the tumor as input. The processor can execute a second model to predict a genetic mutation or molecular alterations of the patient using the one or more visual attributes as input. The processor can identify a therapy protocol associated with the tumor based on the genetic mutation.

Abstract: A computer implemented approach to facilitate multi-phase bid evaluation. In one embodiment, a digital processing system receives information packets (corresponding to bids) from different suppliers containing information elements associated with one of a sequence of phases. On receiving an indication (from a buyer) that a specific phase of the bidding is to be evaluated starting at a time instance, the system allows the buyer access of elements associated with the specific phase only after the time instance, while allowing access to elements associated with a previous phase (occurring prior to the specific phase in the sequence of phases) even before the time instance. In a scenario where the suppliers who have successfully qualified in the previous phase are received, the system allows access of elements associated with the specific phase corresponding only to the qualified suppliers in response to the indication.

Abstract: A computer implemented approach to facilitate multi-phase bid evaluation. In one embodiment, a digital processing system receives information packets (corresponding to bids) from different suppliers containing information elements associated with one of a sequence of phases. On receiving an indication (from a buyer) that a specific phase of the bidding is to be evaluated starting at a time instance, the system allows the buyer access of elements associated with the specific phase only after the time instance, while allowing access to elements associated with a previous phase (occurring prior to the specific phase in the sequence of phases) even before the time instance. In a scenario where the suppliers who have successfully qualified in the previous phase are received, the system allows access of elements associated with the specific phase corresponding only to the qualified suppliers in response to the indication.