Abstract: Systems and methods for searching communications may include receiving a selection from a user of at least one of an acoustic characteristic, a language characteristic, or a category, accessing a database comprising a plurality of communications, the plurality of communications labeled with acoustic characteristics, language characteristics, and categories, restricting the plurality of communications to a subset of the plurality of communications including the user's selection of the at least one acoustic characteristic, language characteristic, or category, generating at least one of a word cloud or a tree for presenting a plurality of topics identified in the subset of the plurality of communications, and receiving a selection of one of the plurality of topics, the receiving causing a display of a further subset of the subset of the plurality of communications, the further subset having the selected topic.

Abstract: Systems and methods include processing communication segments. A method may include obtaining at least one audio segment of an audio communication and distributing the at least one audio segment to a rules engine, analyzing, with the rules engine, the at least one audio segment for at least one acoustic trigger, determining at least one event that is triggered based on comparing the at least one acoustic trigger to one or more trigger rules, and communicating the at least one event to at least one end user through a web server.

Abstract: Systems and methods include using a clustering engine to determine topics in a communication. An example system includes a user interface module that receives user input relating to a criteria to define a set of communications, wherein the criteria is at least one of a category, a score, a sentiment, an agent, an agent grouping, a speaker, a location, an event attribute, a call center, a time of communication, or a date of communication, an acoustic analysis module that analyzes the set of communications to determine one or more acoustic characteristics of one or more communications in the set of communications, and a clustering engine that analyzes words and phrases in the set of communications and the one or more acoustic characteristics, and to determine a topic of the set of communications based on at least one commonality in words, phrases, or the one or more acoustic characteristics.

Abstract: Systems and methods include identifying sets of communications using AB testing based on a difference in metadata values between the sets for a first type of metadata, determining at least one similarity between communications in a first set based on metadata values of a second type of metadata, determining at least one similarity between the communications in the second set based on metadata values of the second type of metadata or a third type of metadata, comparing the at least one similarity from the first set to the at least one similarity of the second set to identify differences in metadata values or types of metadata, and determining, based on the differences, a suggested action for an agent for a future communication with respect to at least one of a desired script, a target phrase, or a desired acoustic characteristic.

Abstract: The present invention provides antibody polypeptides with binding specificity for prostate specific antigen (PSA), wherein the antibody polypeptide comprises (a) a heavy chain variable region comprising the amino acid sequences of SEQ ID NO:1 and SEQ ID NO:2 and SEQ ID NO:3 and/or (b) a light chain variable region comprising the amino acid sequences of SEQ ID NO:4 and SEQ ID NO:5 and SEQ ID NO:6, and wherein the heavy chain variable region and light chain variable region comprise framework amino acid sequences from one or more human antibodies.

Abstract: The present invention provides antibody polypeptides with binding specificity for prostate specific antigen (PSA), wherein the antibody polypeptide comprises (a) a heavy chain variable region comprising the amino acid sequences of SEQ ID NO:1 and SEQ ID NO:2 and SEQ ID NO:3 and/or (b) a light chain variable region comprising the amino acid sequences of SEQ ID NO:4 and SEQ ID NO:5 and SEQ ID NO:6, and wherein the heavy chain variable region and light chain variable region comprise framework amino acid sequences from one or more human antibodies. The invention further provides use of said antibody polypeptides in the diagnosis and treatment of prostate cancer.

Abstract: The present application provides an agent comprising or consisting of a binding moiety with specificity for a kallikrein protein (for example, PSA or hK2) for use in the treatment of prostate cancer, and a method for the treatment of prostate cancer in a patient, the method comprising the step of administering a therapeutically effective amount of an agent comprising or consisting of a binding moiety with specificity for a kallikrein protein to the patient.

Abstract: Systems and methods include identifying sets of communications using AB testing based on a difference in metadata values between the sets for a first type of metadata, determining at least one similarity between communications in a first set based on metadata values of a second type of metadata, determining at least one similarity between the communications in the second set based on metadata values of the second type of metadata or a third type of metadata, comparing the at least one similarity from the first set to the at least one similarity of the second set to identify differences in metadata values or types of metadata, and determining, based on the differences, a suggested action for an agent for a future communication with respect to at least one of a desired script, a target phrase, or a desired acoustic characteristic.

Abstract: The present invention provides antibody polypeptides with binding specificity for human kallikrein-2 (hK2), wherein the antibody polypeptide comprises (a) a heavy chain variable region comprising the amino acid sequences of SEQ ID NO:1 and SEQ ID NO:2 and SEQ ID NO:3 and/or (b) a light chain variable region comprising the amino acid sequences of SEQ ID NO:4 and SEQ ID NO:5 and SEQ ID NO:6, and wherein the heavy chain variable region and light chain variable region comprise framework amino acid sequences from one or more human antibodies.

Abstract: The present invention provides antibody polypeptides with binding specificity for human kallikrein-2 (hK2), wherein the antibody polypeptide comprises (a) a heavy chain variable region comprising the amino acid sequences of SEQ ID NO:1 and SEQ ID NO:2 and SEQ ID NO:3 and/or (b) a light chain variable region comprising the amino acid sequences of SEQ ID NO:4 and SEQ ID NO:5 and SEQ ID NO:6, and wherein the heavy chain variable region and light chain variable region comprise framework amino acid sequences from one or more human antibodies. The invention further provides use of said antibody polypeptides in the diagnosis and treatment of prostate cancer.

Abstract: Content, such as communications, can be searched by their acoustic characteristics, among others. A method may include analyzing a plurality of content for at least one of a language characteristic or a non-word symbol within a text of the plurality of content, and an acoustic characteristic, searching the plurality of content using a search string comprising at least one of a language characteristic, or a non-word symbol, and an acoustic characteristic, and presenting a subset of the plurality of content ranked according to a match with the search string. In some cases, a category label is determined for the content and is also used in the search string.

Abstract: Systems and methods include identifying sets of communications using AB testing based on a difference in metadata values between the sets for a first type of metadata, determining at least one similarity between communications in a first set based on metadata values of a second type of metadata, determining at least one similarity between the communications in the second set based on metadata values of the second type of metadata or a third type of metadata, comparing the at least one similarity from the first set to the at least one similarity of the second set to identify differences in metadata values or types of metadata, and determining, based on the differences, a suggested action for an agent for a future communication with respect to at least one of a desired script, a target phrase, or a desired acoustic characteristic.

Abstract: This invention relates to ?1-microglobulin (A1M) for use in the diagnosis or treatment of malignancies requiring radionuclide diagnostics (RD), radionuclide therapy (RNT) or radioimmunotherapy (RIT), respectively, wherein A1M is used as a co-treatment to RD, RNT or RIT.

Abstract: The present application provides an agent comprising or consisting of a binding moiety with specificity for a kallikrein protein (for example, PSA or hK2) for use in the treatment of prostate cancer, and a method for the treatment of prostate cancer in a patient, the method comprising the step of administering a therapeutically effective amount of an agent comprising or consisting of a binding moiety with specificity for a kallikrein protein to the patient.

Abstract: A system and method of categorizing communications involves evaluating one or more portions of a communication. Systems include a language module structured to analyze the one or more portions of the communication for at least one of a language characteristic or a non-word symbol within a text of the communication, an acoustic analysis module structured to analyze the one or more portions of the communication for an acoustic characteristic, and a determination module structured to determine at least one category label to associate with the one or more portions of the communication using at least one of the language characteristic or the non-word symbol, and the acoustic characteristic.

Abstract: A contact center agent coaching tool may employ systems and methods comprising receiving a communication involving a participant, analyzing the communication in at least near real-time relative to a receipt of the communication using a computer-based communications analytics facility for at least one of a language characteristic, a non-word symbol, or an acoustic characteristic, analyzing the communication in at least near real-time relative to the receipt of the communication using a contextual analysis to obtain a context, determining at least one of a category or a score associated with an aspect of the communication using the at least one language characteristic, non-word symbol, acoustic characteristic, or the context, and triggering a coaching tool to be presented to the participant based on at least one of the category or the score.

Abstract: A communication channel customer journey may involve receiving a first communication on a communication channel of a plurality of communication channels, wherein the first communication is associated with a contact, receiving at least one additional communication from the contact, wherein the at least one additional communication is on a same communication channel or is on a different communication channel of the plurality of communication channels, linking the first communication and the at least one additional communication by the contact, wherein linking involves storing information from at least one of a recording, a transcript, a copy of one or more of the first communication and the at least one additional communication, a language characteristic, an acoustic characteristic, a category, and a score, and enabling a user to navigate between all of the stored information for the first communication and the at least one additional communication.

Abstract: A system and method of categorizing communications involves evaluating one or more portions of a communication. Systems include a language module structured to analyze the one or more portions of the communication for at least one of a language characteristic or a non-word symbol within a text of the communication, an acoustic analysis module structured to analyze the one or more portions of the communication for an acoustic characteristic, and a determination module structured to determine at least one category label to associate with the one or more portions of the communication using at least one of the language characteristic or the non-word symbol, and the acoustic characteristic.

Abstract: Content, such as communications, can be searched by their acoustic characteristics, among others. A method may include analyzing a plurality of content for at least one of a language characteristic or a non-word symbol within a text of the plurality of content, and an acoustic characteristic, searching the plurality of content using a search string comprising at least one of a language characteristic, or a non-word symbol, and an acoustic characteristic, and presenting a subset of the plurality of content ranked according to a match with the search string. In some cases, a category label is determined for the content and is also used in the search string.

Abstract: A communication channel customer journey may involve receiving a first communication on a communication channel of a plurality of communication channels, wherein the first communication is associated with a contact, receiving at least one additional communication from the contact, wherein the at least one additional communication is on a same communication channel or is on a different communication channel of the plurality of communication channels, linking the first communication and the at least one additional communication by the contact, wherein linking involves storing information from at least one of a recording, a transcript, a copy of one or more of the first communication and the at least one additional communication, a language characteristic, an acoustic characteristic, a category, and a score, and enabling a user to navigate between all of the stored information for the first communication and the at least one additional communication.