Paltalk Holdings, Inc.

2020 Genesystems Inc.

Other

Jodd Readick

Robert H Nagel

Phillip Eugene Jones

Clifford Wener

Jonathan Cohen

Victoria Doseeva

Peichang Shi

Jose Miguel Flores-Fernandez

Embodiments of the present invention relate generally to non-invasive methods and tests that measure biomarkers (e.g., tumor antigens) and collect clinical parameters from patients, and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, a classifier is generated using a machine learning system based on training data from retrospective data and subset of inputs (e.g. at least two biomarkers and at least one clinical parameter), wherein each input has an associated weight and the classifier meets a predetermined Receiver Operator Characteristic (ROC) statistic, specifying a sensitivity and a specificity, for correct classification of patients. The classifier may then be used to assesses the likelihood that a patient has cancer relative to a population by classify the patient into a category indicative of a likelihood of having cancer or into another category indicative of a likelihood of not having cancer.

Methods and machine learning systems for predicting the likelihood or risk of having cancer

This invention shows a method for operating a voice communications network that comprises dynamically associating a private number with at least one public number of a circuit-switched voice communication network, authenticating a user of a private number without reliance on a static reproducible data code, receiving an incoming call to the public number and routing the incoming call from a caller to the private number. The method also shows the generation of an outgoing call from the private number and passing the outgoing call through the public number while generating calling party information to a target which preserves the privacy of the caller, and altering an associating of the private number and at least one public number. The system therefore acts as a proxy with authentication by means of dynamic code security. The caller and the user of the private number share seamless round-trip telephone communications while preserving the anonymity of the user of the private number. The system functionality is advantageously presented as a restricted option space defined by a 'skin', which provides a consistent and purposeful set of functionality useful for a predetermined population of users.

System and method for providing a public number-private number telephony system

System and method for providing a public/private telephone number system

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New York, NY, United States of America

Jodd Readick