公开(公告)号：US20200381121A1

公开(公告)日：2020-12-03

申请号：US16887036

申请日：2020-05-29

Applicant: NEW YORK UNIVERSITY

Inventor： Jing Wang ,  Prathamesh Kulkarni ,  Eric Robinson

IPC: G16H50/20 ,  G16H30/40 ,  G16H30/20 ,  G06F16/55 ,  G06N3/08 ,  G06N3/04 ,  G06K9/00 ,  G06K9/62

Abstract: A method of treating a subject comprises administering a treatment to a subject identified as having a high probability of distant metastatic recurrence, wherein the probability of distant metastatic recurrence was determined by a process, comprising acquiring at least one image of a tissue sample comprising a plurality of cells, taken from a subject, classifying each of the plurality of cells into categories, dividing the at least one image into a plurality of patches, calculating values for a plurality of morphological features based on the patches, and calculating a distant metastatic recurrence probability based on the values. A computer-implemented method of training a neural network and a system for characterizing a cancer in a subject are also described.

公开(公告)号：US12019674B2

公开(公告)日：2024-06-25

申请号：US16887036

申请日：2020-05-29

Applicant: NEW YORK UNIVERSITY

Inventor： Jing Wang ,  Prathamesh Kulkarni ,  Eric Robinson

IPC: A61K38/21 ,  G06F16/55 ,  G06F18/21 ,  G06F18/2321 ,  G06N3/04 ,  G06N3/08 ,  G06V10/762 ,  G06V10/764 ,  G06V20/69 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06F16/55 ,  G06F18/2193 ,  G06F18/2321 ,  G06N3/04 ,  G06N3/08 ,  G06V10/763 ,  G06V10/764 ,  G06V20/693 ,  G06V20/698 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06V2201/03

Abstract: A method of treating a subject comprises administering a treatment to a subject identified as having a high probability of distant metastatic recurrence, wherein the probability of distant metastatic recurrence was determined by a process, comprising acquiring at least one image of a tissue sample comprising a plurality of cells, taken from a subject, classifying each of the plurality of cells into categories, dividing the at least one image into a plurality of patches, calculating values for a plurality of morphological features based on the patches, and calculating a distant metastatic recurrence probability based on the values. A computer-implemented method of training a neural network and a system for characterizing a cancer in a subject are also described.

公开(公告)号：US20250061149A1

公开(公告)日：2025-02-20

申请号：US18750510

申请日：2024-06-21

Applicant: NEW YORK UNIVERSITY

Inventor： Jing Wang ,  Prathamesh Kulkarni ,  Eric Robinson

IPC: G06F16/55 ,  G06F18/21 ,  G06F18/2321 ,  G06N3/04 ,  G06N3/08 ,  G06V10/762 ,  G06V10/764 ,  G06V20/69 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20

Abstract: A method of treating a subject comprises administering a treatment to a subject identified as having a high probability of distant metastatic recurrence, wherein the probability of distant metastatic recurrence was determined by a process, comprising acquiring at least one image of a tissue sample comprising a plurality of cells, taken from a subject, classifying each of the plurality of cells into categories, dividing the at least one image into a plurality of patches, calculating values for a plurality of morphological features based on the patches, and calculating a distant metastatic recurrence probability based on the values. A computer-implemented method of training a neural network and a system for characterizing a cancer in a subject are also described.