公开(公告)号：US12094572B1

公开(公告)日：2024-09-17

申请号：US17817896

申请日：2022-08-05

Applicant: NVIDIA Corporation

Inventor： Johnny Israeli ,  Avantika Lal ,  Michael Vella ,  Nikolai Yakovenko ,  Zhen Hu

IPC: G16B30/00 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08

CPC classification number: G16B30/00 ,  G06F18/214 ,  G06F18/24 ,  G06N3/0418 ,  G06N3/08

Abstract: The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.

公开(公告)号：US11443832B2

公开(公告)日：2022-09-13

申请号：US16296135

申请日：2019-03-07

Applicant: NVIDIA Corporation

Inventor： Johnny Israeli ,  Avantika Lal ,  Michael Vella ,  Nikolai Yakovenko ,  Zhen Hu

IPC: G16B30/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.

公开(公告)号：US11657897B2

公开(公告)日：2023-05-23

申请号：US16236797

申请日：2018-12-31

Applicant: NVIDIA Corporation

Inventor： Johnny Israeli ,  Nikolai Yakovenko

IPC: C12Q1/68 ,  G06N3/08 ,  G16B20/30 ,  G16B40/00 ,  G16B30/00 ,  G16B25/00 ,  G16B5/20 ,  C12Q1/6869 ,  G16B25/10 ,  G16B40/10

CPC classification number: G16B25/00 ,  C12Q1/68 ,  G06N3/08 ,  G16B5/20 ,  G16B20/30 ,  G16B40/00

Abstract: The present invention provides methods, systems, computer program products that use deep learning with neural networks to denoise ATAC-seq datasets. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying genomic sites of chromatin accessibility in a wide range of tissue and cell types.

公开(公告)号：US20200027210A1

公开(公告)日：2020-01-23

申请号：US16515890

申请日：2019-07-18

Applicant: NVIDIA Corporation

Inventor： Nicholas Haemel ,  Bojan Vukojevic ,  Risto Haukioja ,  Andrew Feng ,  Yan Cheng ,  Sachidanand Alle ,  Daguang Xu ,  Holger Reinhard Roth ,  Johnny Israeli

IPC: G06T7/00 ,  G16H30/20 ,  G06T19/00 ,  G06N5/04 ,  G06N3/04 ,  G06T7/10 ,  G06F9/455 ,  G06F9/54 ,  G06T5/00

Abstract: In various examples, a virtualized computing platform for advanced computing operations—including image reconstruction, segmentation, processing, analysis, visualization, and deep learning—may be provided. The platform may allow for inference pipeline customization by selecting, organizing, and adapting constructs of task containers for local, on-premises implementation. Within the task containers, machine learning models generated off-premises may be leveraged and updated for location specific implementation to perform image processing operations. As a result, and using the virtualized computing platform, facilities such as hospitals and clinics may more seamlessly train, deploy, and integrate machine learning models within a production environment for providing informative and actionable medical information to practitioners.