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  4. Enhancing Prostate Cancer Diagnosis with In-Memory Sensing and Edge Computing of Percent-free PSA Index
 
conference paper

Enhancing Prostate Cancer Diagnosis with In-Memory Sensing and Edge Computing of Percent-free PSA Index

Mafi, Alireza  
•
Barbruni, Gian Luca  
•
Golparvar, Ata  
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2024
2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
13 International Conference on Modern Circuits and Systems Technologies

In this paper, we are presenting a new architecture to directly compute the ‘Percent-free PSA’ diagnostics index to enhance the differentiation of prostate cancer from benign prostatic disease. The proposed circuit uses silicon nanowires-based memristive biosensors by implementing a combination of sensing and computing carried out inside the sensing architecture and not near the sensor. These types of biosensor configurations that are able to directly provide the desired result without any intermediate operations can open up a new branch of research in the area of in-memory sensing and edge computing.

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Type
conference paper
DOI
10.1109/MOCAST61810.2024.10615783
Scopus ID

2-s2.0-85202449237

Author(s)
Mafi, Alireza  

École Polytechnique Fédérale de Lausanne

Barbruni, Gian Luca  

École Polytechnique Fédérale de Lausanne

Golparvar, Ata  

École Polytechnique Fédérale de Lausanne

Carrara, Sandro  

École Polytechnique Fédérale de Lausanne

Date Issued

2024

Publisher

Institute of Electrical and Electronics Engineers Inc.

Published in
2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings
ISBN of the book

9798350385427

Subjects

Analog Computing

•

Computing Architectures

•

In-Memory Sensing

•

Memristive Biosensors

•

Prostate Cancer Index

•

Silicon Nanowires

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LWE  
LSI1  
SCI-STI-SC  
Event nameEvent acronymEvent placeEvent date
13 International Conference on Modern Circuits and Systems Technologies

Sofia, Bulgaria

2024-06-26 - 2024-06-28

Available on Infoscience
January 26, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244587
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