Towards rapid bedside medical diagnosis using vibrational spectroscopy
Towards rapid bedside medical diagnosis using vibrational spectroscopy
Neonatal respiratory distress syndrome can be diagnosed in preterm infants using the ratio of the lipids, lecithin and sphingomyelin, found in the lungs. Current measurements rely on mass spectrometry; however, mid-infrared (Mid-IR) and Raman spectroscopies offer an alternative rapid measurement technique. A methodology for point-of-care diagnosis using custom ATR silicon chips and machine learning is presented, to enable improved long-term patient outcomes.
Vincent Veluthandath, Aneesh
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Ahmed, Waseem
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Osborne, Eleanor Louisa
02a010d9-0022-4886-9862-84317076adc2
Dushianthan, Ahilanandan
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Madsen, Jens
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Clark, Howard W.
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Postle, Anthony
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Wilkinson, James S
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Senthil Murugan, Ganapathy
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November 2023
Vincent Veluthandath, Aneesh
6a183413-e10f-4374-bc64-a33bf7fd9cfa
Ahmed, Waseem
bd8069b9-786f-4dd1-b3f0-cf94d828a3b2
Osborne, Eleanor Louisa
02a010d9-0022-4886-9862-84317076adc2
Dushianthan, Ahilanandan
013692a2-cf26-4278-80bd-9d8fcdb17751
Madsen, Jens
3a6a1da5-83bd-4fdb-9786-bfd46aed8b1d
Clark, Howard W.
d237bb0a-ab8f-4b97-8ad2-bbfe73314260
Postle, Anthony
0fa17988-b4a0-4cdc-819a-9ae15c5dad66
Wilkinson, James S
73483cf3-d9f2-4688-9b09-1c84257884ca
Senthil Murugan, Ganapathy
a867686e-0535-46cc-ad85-c2342086b25b
Vincent Veluthandath, Aneesh, Ahmed, Waseem, Osborne, Eleanor Louisa, Dushianthan, Ahilanandan, Madsen, Jens, Clark, Howard W., Postle, Anthony, Wilkinson, James S and Senthil Murugan, Ganapathy
(2023)
Towards rapid bedside medical diagnosis using vibrational spectroscopy.
Women in Photonics, Leibniz Institute of Photonic Technology, Jena, Germany.
26 - 30 Nov 2023.
Record type:
Conference or Workshop Item
(Poster)
Abstract
Neonatal respiratory distress syndrome can be diagnosed in preterm infants using the ratio of the lipids, lecithin and sphingomyelin, found in the lungs. Current measurements rely on mass spectrometry; however, mid-infrared (Mid-IR) and Raman spectroscopies offer an alternative rapid measurement technique. A methodology for point-of-care diagnosis using custom ATR silicon chips and machine learning is presented, to enable improved long-term patient outcomes.
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Published date: November 2023
Venue - Dates:
Women in Photonics, Leibniz Institute of Photonic Technology, Jena, Germany, 2023-11-26 - 2023-11-30
Identifiers
Local EPrints ID: 497679
URI: http://eprints.soton.ac.uk/id/eprint/497679
PURE UUID: 48b2c700-9d9b-474d-bf6e-7778cdd8e1da
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Date deposited: 29 Jan 2025 18:13
Last modified: 30 Jan 2025 03:26
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Contributors
Author:
Aneesh Vincent Veluthandath
Author:
Waseem Ahmed
Author:
Eleanor Louisa Osborne
Author:
Ahilanandan Dushianthan
Author:
Jens Madsen
Author:
Howard W. Clark
Author:
Ganapathy Senthil Murugan
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