公开(公告)号：US20230175058A1

公开(公告)日：2023-06-08

申请号：US18163106

申请日：2023-02-01

申请人： Freenome Holdings, Inc.

发明人： Daniel DELUBAC ,  Imran S. HAQUE ,  Michael SINGER

IPC分类号： C12Q1/6869 ,  G16B40/00 ,  G16B25/00

CPC分类号： C12Q1/6869 ,  G16B25/00 ,  G16B40/00 ,  C12Q2600/156

摘要： Systems, media, methods, and kits disclosed herein can improve analysis capabilities of genomic materials. Results from such analyses can be used to detect genomic biomarkers in one or more genomic materials. The systems, media, methods and kits disclosed herein can identify changes or patterns among samples, and can employ machine learning methods to explore changes or potential changes in biological conditions or risks thereof. Further, the systems, media, methods and kits disclosed herein can utilize machine learning algorithms to analyze samples with high accuracy.

公开(公告)号：US20210057046A1

公开(公告)日：2021-02-25

申请号：US17035278

申请日：2020-09-28

申请人： Freenome Holdings, Inc.

发明人： Yaping LIU ,  Daniel DELUBAC ,  Imran S. HAQUE

IPC分类号： G16B30/10 ,  G16B20/00 ,  G16B40/30

摘要： Systems, media, methods, and kits disclosed herein can be used to analyze human microbiota for the detection of a condition (e.g., a disease or condition). Further, the systems, media, methods, and kits disclosed herein can utilize machine learning algorithms to analyze samples with high accuracy. In an aspect, a classifier capable of distinguishing a population of subjects based on microbiome composition may comprise: a plurality of microbiome-associated features associated with two or more classes of subjects inputted into a machine learning model, wherein the features comprise the microbiome species and abundance of microbiome elements, wherein the features are derived from a taxonomic community composition analysis of a cell-free nucleic acid sample in a population of subjects; wherein the features contribute to a classifier sensitivity of greater than 50% and a classifier specificity of greater than 85% to distinguish the population of subjects into two or more classes.

公开(公告)号：US20200232894A1

公开(公告)日：2020-07-23

申请号：US16827439

申请日：2020-03-23

申请人： Freenome Holdings, Inc.

发明人： Daniel DELUBAC

IPC分类号： G01N11/08 ,  G01N35/10 ,  B01L3/02 ,  G01F1/36

摘要： The present disclosure provides methods and devices for sample extraction.

公开(公告)号：US20240053241A1

公开(公告)日：2024-02-15

申请号：US18451922

申请日：2023-08-18

申请人： Freenome Holdings, Inc.

发明人： Daniel DELUBAC

IPC分类号： G01N11/08 ,  B01L3/02 ,  G01F1/36 ,  G01N35/10

CPC分类号： G01N11/08 ,  B01L3/0237 ,  B01L3/0293 ,  G01F1/363 ,  G01N35/1016 ,  B01L3/0279 ,  B01L2200/143 ,  B01L2300/0663 ,  B01L2400/0478 ,  B01L2400/0487 ,  G01N2035/1062

摘要： The present disclosure provides methods and devices for sample extraction.

公开(公告)号：US20210010076A1

公开(公告)日：2021-01-14

申请号：US16937287

申请日：2020-07-23

申请人： Freenome Holdings, Inc.

发明人： Daniel DELUBAC ,  Imran S. HAQUE ,  Michael SINGER

IPC分类号： C12Q1/6869 ,  G16B25/00 ,  G16B40/00

摘要： Systems, media, methods, and kits disclosed herein can improve analysis capabilities of genomic materials. Results from such analyses can be used to detect genomic biomarkers in one or more genomic materials. The systems, media, methods and kits disclosed herein can identify changes or patterns among samples, and can employ machine learning methods to explore changes or potential changes in biological conditions or risks thereof. Further, the systems, media, methods and kits disclosed herein can utilize machine learning algorithms to analyze samples with high accuracy.