公开(公告)号：US20230115066A1

公开(公告)日：2023-04-13

申请号：US18070282

申请日：2022-11-28

Applicant: Life Technologies Corporation

Inventor： Wallace George

IPC: G16B25/10 ,  G16B25/00

Abstract: The present disclosure provides systems, methods, and a computer-readable storage medium for identifying and selecting highly relevant sets of genes (or Gene Signatures and biomarkers), which, when coupled with clinical and/or demographic data are highly predictive of potential clinical responses to a targeted therapy. It also provides systems, methods, and a computer-readable storage medium for determining the expected response to the targeted therapy when using the selected gene/biomarker set.

公开(公告)号：US20200003728A1

公开(公告)日：2020-01-02

申请号：US16486137

申请日：2018-02-16

Applicant: Life Technologies Corporation

Inventor： Nivedita Majumdar ,  Wallace George ,  Jeffrey Marks ,  Ming Jiang ,  Sylvia Chang ,  David Woo

IPC: G01N27/416 ,  G01N27/447

Abstract: Embodiments implementing selected automated quality control operations in sample processing instruments that analyze dye-labeled samples are disclosed. In some embodiments, temperature and/or pressure parameters are measured and compared to thresholds to determine whether warning should be provided and/or actions taken. Embodiments for implementing automated correction of spectral error during the instrument's normal runtime operation without requiring the user to conduct a special, separate calibration run are also disclosed.

公开(公告)号：US20210391033A1

公开(公告)日：2021-12-16

申请号：US17346147

申请日：2021-06-11

Applicant: Life Technologies Corporation

Inventor： Wallace George ,  Deepankar Chanda

IPC: G16B25/20 ,  G06N3/04 ,  G06N3/08

Abstract: Embodiments of the invention are disclosed that implement deep learning methods using artificial neural networks to provide improved automated predictions regarding whether a particular sample comprises a target molecule. In some embodiments, a convolutional neural network is used. In some embodiments, an artificial neural network is trained using a class-weighted error determination. These and other embodiments are disclosed herein.

公开(公告)号：US10902593B2

公开(公告)日：2021-01-26

申请号：US16557376

申请日：2019-08-30

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Jeffrey Marks ,  David Woo ,  Wallace George

IPC: G06T7/00 ,  H04N5/372 ,  H04N5/347 ,  G01N27/447

Abstract: A biological analysis system and an associated method are provided. The method is used for recovering off scale data in an image produced by a camera in a capillary electrophoresis instrument. The method comprises the steps of identifying bins of the image where electron counts exceed a maximum number of counts; setting an off-scale flag for the identified bins; and processing the image to obtain a recovered dye signal, based on the flag set for each bin, and using a dye matrix.

公开(公告)号：US20180253527A1

公开(公告)日：2018-09-06

申请号：US15905680

申请日：2018-02-26

Applicant: LIFE TECHNOLOGIES CORPORATION

Inventor： Wallace George

IPC: G06F19/20 ,  G06F19/24

CPC classification number: G16B25/00 ,  G16B40/00

Abstract: The present disclosure provides systems, methods, and a computer-readable storage medium for identifying and selecting highly relevant sets of genes (or Gene Signatures and biomarkers), which, when coupled with clinical and/or demographic data are highly predictive of potential clinical responses to a targeted therapy. It also provides systems, methods, and a computer-readable storage medium for determining the expected response to the targeted therapy when using the selected gene/biomarker set.