The emerging role of Raman spectroscopy as an omics approach for metabolic profiling and biomarker detection toward precision medicine

G Cutshaw, S Uthaman, N Hassan… - Chemical …, 2023 - ACS Publications
Omics technologies have rapidly evolved with the unprecedented potential to shape
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …

Advancements in mri-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects

A Chaddad, G Tan, X Liang, L Hassan, S Rathore… - Cancers, 2023 - mdpi.com
Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …

In situ Raman spectroscopy and machine learning unveil biomolecular alterations in invasive breast cancer

S David, T Tran, F Dallaire, G Sheehy… - Journal of …, 2023 - spiedigitallibrary.org
Significance As many as 60% of patients with early stage breast cancer undergo breast-
conserving surgery. Of those, 20% to 35% need a second surgery because of incomplete …

Image-guided Raman spectroscopy navigation system to improve transperineal prostate cancer detection. Part 1: Raman spectroscopy fiber-optics system and in situ …

F Picot, R Shams, F Dallaire, G Sheehy… - Journal of …, 2022 - spiedigitallibrary.org
Significance: The diagnosis of prostate cancer (PCa) and focal treatment by brachytherapy
are limited by the lack of precise intraoperative information to target tumors during biopsy …

Using Machine Learning to Predict TP53 Mutation Status and Aggressiveness of Prostate Cancer from Routine Histology Images

F Bordeleau - Cancer Research, 2023 - AACR
Despite years of progress, we still lack reliable tools to predict the aggressiveness of tumors,
including in the case of prostate cancer. Biomarkers have been developed, but they often …

Preclinical evaluation of Raman spectroscopy for pedicular screw insertion surgical guidance in a porcine spine model

I Kosik, F Dallaire, L Pires, T Tran… - … of Biomedical Optics, 2023 - spiedigitallibrary.org
Significance Orthopedic surgery is frequently performed but currently lacks consensus and
availability of ideal guidance methods, resulting in high variability of outcomes. Misdirected …

Spectral effects and enhancement quantification in healthy human saliva with surface‐enhanced Raman spectroscopy using silver nanopillar substrates

E Zamani, N Ksantini, G Sheehy… - Lasers in Surgery …, 2024 - Wiley Online Library
Objectives Raman spectroscopy as a diagnostic tool for biofluid applications is limited by
low inelastic scattering contributions compared to the fluorescence background from …

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

M Myslicka, A Kawala-Sterniuk, A Bryniarska… - Archives of …, 2024 - Springer
This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …

Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification

D Grajales, W Le, F Dallaire, G Sheehy, S David… - MICCAI Workshop on …, 2023 - Springer
Breast-conserving surgery is a recommended treatment for early-stage breast cancer.
Recurrence and post-operative complications are potential risks when margins are not …

Raman spectroscopy and AI applications in cancer grading. An overview

PM Conforti, G Lazzini, P Russo, M D'Acunto - IEEE Access, 2024 - ieeexplore.ieee.org
Raman spectroscopy (RS) is a label-free molecular vibrational spectroscopy technique that
is able to identify the molecular fingerprint of various samples making use of the inelastic …