Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning

Sravya Prabhala; Andrew S. Chang; Ali Daneshkhah; Hariharan Subramanian; Hemant Kumar Roy; Vadim Backman

doi:10.1364/NTM.2023.JTu4A.5

Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning

Sravya Prabhala, Andrew S. Chang, Ali Daneshkhah, Hariharan Subramanian, Hemant Kumar Roy, Vadim Backman

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Machine learning applied to quantified biomarkers of chromatin alterations obtained from partial wave spectroscopic microscopy of rectal swab samples improves early risk stratification of colorectal cancer.

Original language	English (US)
Title of host publication	Novel Techniques in Microscopy, NTM 2023
Publisher	Optical Society of America
ISBN (Electronic)	9781957171210
DOIs	https://doi.org/10.1364/NTM.2023.JTu4A.5
State	Published - 2023
Event	Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023 - Vancouver, Canada Duration: Apr 24 2023 → Apr 27 2023

Publication series

Name	Novel Techniques in Microscopy, NTM 2023

Conference

Conference	Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023
Country/Territory	Canada
City	Vancouver
Period	4/24/23 → 4/27/23

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering
Instrumentation
General Computer Science
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1364/NTM.2023.JTu4A.5

Cite this

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title = "Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning",

abstract = "Machine learning applied to quantified biomarkers of chromatin alterations obtained from partial wave spectroscopic microscopy of rectal swab samples improves early risk stratification of colorectal cancer.",

author = "Sravya Prabhala and Chang, {Andrew S.} and Ali Daneshkhah and Hariharan Subramanian and Roy, {Hemant Kumar} and Vadim Backman",

note = "Publisher Copyright: {\textcopyright} 2023 The Author (s); Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023 ; Conference date: 24-04-2023 Through 27-04-2023",

year = "2023",

doi = "10.1364/NTM.2023.JTu4A.5",

language = "English (US)",

series = "Novel Techniques in Microscopy, NTM 2023",

publisher = "Optical Society of America",

booktitle = "Novel Techniques in Microscopy, NTM 2023",

}

Prabhala, S, Chang, AS, Daneshkhah, A, Subramanian, H, Roy, HK & Backman, V 2023, Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning. in Novel Techniques in Microscopy, NTM 2023. Novel Techniques in Microscopy, NTM 2023, Optical Society of America, Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023, Vancouver, Canada, 4/24/23. https://doi.org/10.1364/NTM.2023.JTu4A.5

Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning. / Prabhala, Sravya; Chang, Andrew S.; Daneshkhah, Ali et al.
Novel Techniques in Microscopy, NTM 2023. Optical Society of America, 2023. (Novel Techniques in Microscopy, NTM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning

AU - Prabhala, Sravya

AU - Chang, Andrew S.

AU - Daneshkhah, Ali

AU - Subramanian, Hariharan

AU - Roy, Hemant Kumar

AU - Backman, Vadim

PY - 2023

Y1 - 2023

N2 - Machine learning applied to quantified biomarkers of chromatin alterations obtained from partial wave spectroscopic microscopy of rectal swab samples improves early risk stratification of colorectal cancer.

AB - Machine learning applied to quantified biomarkers of chromatin alterations obtained from partial wave spectroscopic microscopy of rectal swab samples improves early risk stratification of colorectal cancer.

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U2 - 10.1364/NTM.2023.JTu4A.5

DO - 10.1364/NTM.2023.JTu4A.5

M3 - Conference contribution

AN - SCOPUS:85191149361

T3 - Novel Techniques in Microscopy, NTM 2023

BT - Novel Techniques in Microscopy, NTM 2023

PB - Optical Society of America

T2 - Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences 2023

Y2 - 24 April 2023 through 27 April 2023

ER -

Evaluating Nanoscale Chromatin Modifications for Risk Stratification of Colorectal Cancer using Machine Learning

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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