Article
Biochemical Research Methods
Mengkun Chen, Xu Feng, Matthew C. Fox, Jason S. Reichenberg, Fabiana C. P. S. Lopes, Katherine R. Sebastian, Mia K. Markey, James W. Tunnell
Summary: The aim of this study is to improve the specificity of Raman spectroscopy (RS) for detecting basal cell carcinoma (BCC) by using an artificial neural network trained on reflectance confocal microscopy (RCM) images to identify false positive normal skin structures. The results show that the deep-learning model trained on RCM images effectively reduces false positive predictions from the RS model and improves the specificity of RS.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Spectroscopy
Katerina Kralova, Ondrej Vrtelka, Marketa Fouskova, Petr Hribek, Bohus Bunganic, Michaela Miskovicova, Petr Urbanek, Miroslav Zavoral, Lubos Petruzelka, Lucie Habartova, Vladimir Setnicka
Summary: Improving early diagnosis of gastrointestinal cancers is crucial for reducing mortality. The non-specific symptoms pose a challenge in differentiating between different types of gastrointestinal cancers. By using Raman spectroscopy and Raman optical activity to analyze blood plasma samples, the study aimed to identify disease-specific alterations in biomolecular structure and composition. The statistical methods tested showed high accuracy in discriminating between cancer and control samples, as well as differentiating among the three studied cancer types.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Chemistry, Physical
Lubomir Vanco, Mario Kotlar, Viliam Vretenar, Magdalena Kadlecikova, Marian Vojs, Peter Vogrincic
Summary: The intensity of Raman bands on substrates with transparent overlayers can be enhanced by optical interference, leading to incorrect interpretation of Raman signals. This study proposes a model to determine the enhancement factor based on the reflectance response of the whole structure, even when the thickness and refractive index of the overlayer are unknown. Experimental evidence supports the model's validity, aiming to establish a correlation between reflectance and Raman spectroscopy.
SURFACES AND INTERFACES
(2022)
Article
Multidisciplinary Sciences
Sumeyye Su, Shaya Akbarinejad, Leili Shahriyari
Summary: This study utilized digital cytometry to estimate the percentage of different immune cell types in 526 renal tumors, revealing that the most common immune cell types in clear cell renal cell carcinomas (ccRCC) tumors are CD8+ T-cells, macrophages, and CD4+ T-cells. Furthermore, unsupervised clustering analysis identified four distinct groups of ccRCC tumors based on the relative numbers of immune cells.
SCIENTIFIC REPORTS
(2021)
Article
Materials Science, Ceramics
Guilherme M. Martins, Cristiano Fantini, Roberto L. Moreira, Anderson Dias
Summary: In this study, Gd2Ge2O7 polymorphs were obtained by solid-state reactions and their structural and vibrational features were investigated. The electronic transitions of Gd3+ 4f-4f were examined by diffuse reflectance spectroscopy and bandgap values were determined using the Kubelka-Munk function. The results showed that polymorphism in Gd2Ge2O7 ceramics can be utilized to tailor materials with specific optical properties.
CERAMICS INTERNATIONAL
(2021)
Article
Materials Science, Ceramics
Harlan J. Brown-Shaklee, Eric W. Neuman, William G. Fahrenholtz, Gregory E. Hilmas
Summary: Boron carbide powders were synthesized from elemental powders and characterized using XRD, UV-visible diffuse reflectance, Raman, and diffuse reflectance IR spectroscopies. The study found that the B/C ratio and temperature have significant effects on the crystal structure, carbon content, and optical properties of boron carbides.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2023)
Article
Chemistry, Multidisciplinary
Jakob Genser, Daniele Nazzari, Viktoria Ritter, Ole Bethge, Kenji Watanabe, Takashi Taniguchi, Emmerich Bertagnolli, Friedhelm Bechstedt, Alois Lugstein
Summary: Silicene shows promising potential for high-performance devices due to its unique electronic and optical properties, but its outstanding characteristics are not preserved on certain growth templates.
Article
Dermatology
Ivan A. Bratchenko, Lyudmila A. Bratchenko, Alexander A. Moryatov, Yulia A. Khristoforova, Dmitry N. Artemyev, Oleg O. Myakinin, Andrey E. Orlov, Sergey V. Kozlov, Valery P. Zakharov
Summary: In this study, skin cancer was diagnosed in vivo using a portable low-cost spectroscopy setup, showing promising accuracy in classifying malignant and benign tumors, melanomas and pigmented tumors, and melanomas and seborrhoeic keratosis. The proposed system's automatic analysis accuracy outperformed GPs and trainees, and was comparable to trained dermatologists, suggesting potential for improving neoplasms classification in combination with other optical techniques.
EXPERIMENTAL DERMATOLOGY
(2021)
Article
Chemistry, Analytical
M. Czaplicka, A. A. Kowalska, A. B. Nowicka, D. Kurzydlowski, Z. Gronkiewicz, A. Machulak, W. Kukwa, A. Kaminska
Summary: This study demonstrates the significant potential of SERS combined with multivariate analysis for distinguishing carcinoma or tumor from normal salivary gland tissues as a rapid, label-free tool in cancer detection. PCA and PLS-DA methods were used to identify differences and classify salivary gland homogenates, showing promise for differentiation between healthy and tumor tissues.
ANALYTICA CHIMICA ACTA
(2021)
Article
Cell Biology
Ziad Bakouny, Ananthan Sadagopan, Praful Ravi, Nebiyou Y. Metaferia, Jiao Li, Shatha AbuHammad, Stephen Tang, Thomas Denize, Emma R. Garner, Xin Gao, David A. Braun, Laure Hirsch, John A. Steinharter, Gabrielle Bouchard, Emily Walton, Destiny West, Chris Labaki, Shaan Dudani, Chun-Loo Gan, Vidyalakshmi Sethunath, Filipe L. F. Carvalho, Alma Imamovic, Cora Ricker, Natalie Vokes, Jackson Nyman, Jacob E. Berchuck, Jihye Park, Michelle S. Hirsch, Rizwan Haq, Gwo-Shu Mary Lee, Bradley A. McGregor, Steven L. Chang, Adam S. Feldman, Catherine J. Wu, David F. McDermott, Daniel Y. C. Heng, Sabina Signoretti, Eliezer M. Van Allen, Toni K. Choueiri, Srinivas R. Viswanathan
Summary: This study comprehensively defines the clinical and molecular features of translocation renal cell carcinoma (tRCC), a subtype of kidney cancer driven by MiT/TFE gene fusions. tRCCs mainly harbor MiT/TFE fusions and homozygous deletions at chromosome 9p21.3, and display a heightened NRF2-driven antioxidant response. Patients with tRCC treated with vascular endothelial growth factor receptor inhibitors (VEGFR-TKIs) have worse outcomes compared to those treated with immune checkpoint inhibitors (ICI). The study findings may inspire new therapeutic hypotheses for tRCC.
Editorial Material
Computer Science, Artificial Intelligence
Ivan A. Bratchenko, Lyudmila A. Bratchenko
Summary: This paper comments on a study that uses machine learning to find reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis. The authors classify benign and malignant skin neoplasms based on their Raman spectra. However, the proposed technique may have unreasonably high accuracy due to incorrect cross-validation procedure. Additional data regarding the utilized cross-validation procedure should be provided to confirm the possibility of discriminating neoplasm skin tissues based on Raman spectra analysis.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fatma Eldihimi, Cynthia Walsh, Rebecca M. Hibbert, Khalid Al Nasibi, Jana Sheinis Pickovsky, Nicola Schieda
Summary: A CT scoring system can be used to diagnose ccRCC among small solid renal masses and guide renal mass biopsy decisions in clinical practice.
EUROPEAN RADIOLOGY
(2023)
Article
Biochemical Research Methods
Yangjun Zhang, Xiaoliang Wu, Jingzhen Li, Kui Sun, Heng Li, Libin Yan, Chen Duan, Haoran Liu, Ke Chen, Zhangqun Ye, Mugen Liu, Hua Xu
Summary: Irregular splicing in renal cell carcinoma (RCC) is associated with tumor formation and progression. Alternative splicing can be useful for subtype classification, while splicing inefficiency is linked to advanced conditions and unfavorable overall survival in patients with RCC. Factors such as splice site strength, nucleotide content, and exon length may disrupt splicing balance in RCC, affecting cancer-associated pathways and immune responses.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Medical Laboratory Technology
Amr Elkady, Marwa Hassan, Mohamed F. Hagag, Eman El-Ahwany, Osama M. Helal, Mona Zoheiry, Mahmoud A. Abdalla, Mohamed Elzallat
Summary: A novel model of surface-enhanced Raman spectroscopy (SERS) was developed to detect hepatocellular carcinoma (HCC) patients by identifying the circulating tumor-derived exosomes. This model can non-invasively and accurately recognize tumor-derived exosomes without the need for laborious exosomal separation.
CLINICA CHIMICA ACTA
(2023)
Article
Oncology
Hongtao Li, Shanshan Wang, Qinggang Zeng, Chen Chen, Xiaoyi Lv, Mingrui Ma, Haihua Su, Binlin Ma, Cheng Chen, Jingjing Fang
Summary: This study utilized serum Raman spectroscopy combined with multiple classification algorithms to develop an auxiliary diagnosis method for breast cancer, and the reliability of this method was validated through a large sample experiment.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Engineering, Biomedical
Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Shijie Qiu, Youyong Kong, Longyu Jiang, Yang Chen, Wankou Yang, Lotfi Senhadji, Huazhong Shu
Article
Multidisciplinary Sciences
Alfredo I. Hernandez, Diego Perez, Delphine Feuerstein, Corinne Loiodice, Laurence Graindorge, Gustavo Guerrero, Nadege Limousin, Frederic Gagnadoux, Yves Dauvilliers, Renaud Tamisier, Arnaud Prigent, Philippe Mabo, Amel Amblard, Lotfi Senhadji, Jean-Louis Pepin
SCIENTIFIC REPORTS
(2018)
Article
Computer Science, Information Systems
Jiasong Wu, Fuzhi Wu, Zhifang Dong, Kaiwen Song, Youyong Kong, Lotfi Senhadji, Huazhong Shu
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Ling Xu, Fuzhi Wu, Youyong Kong, Lotfi Senhadji, Huazhong Shu
Article
Physiology
Henry Areiza-Laverde, Cindy Dopierala, Lotfi Senhadji, Francois Boucher, Pierre Y. Gumery, Alfredo Hernandez
Summary: The study evaluates the feasibility of acquiring ECG and ACC data from an implant in the gastric fundus and finds a high correlation with gold standard data. Results show the potential for chronic cardiovascular monitoring from an implantable cardiac device at the gastric location, with the main challenge being the optimization of the signal-to-noise ratio, especially for handling specific noise sources.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Xiang Qiu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu
Summary: The proposed Generative Fractional Scattering Networks (GFRSNs) use more expressive fractional wavelet scattering networks as the encoder and can generate better images on testing datasets compared to the original Generative Scattering Networks (GSNs).
FRONTIERS IN NEUROROBOTICS
(2021)
Article
Computer Science, Hardware & Architecture
Ismail Hadj Ahmed, Abdelghani Djebbari, Amar Kachenoura, Lotfi Senhadji
Summary: Heart rate variability signal is a valuable tool for cardiovascular system diagnostics, used to detect arrhythmia and abnormalities in the autonomic nervous system. Quadratic time-frequency analysis of the signal can help detect various cardiovascular pathologies. A client-server telemedical platform was developed for real-time remote monitoring of cardiovascular function in arrhythmia patients, allowing immediate interaction in case of alarms.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang, Huazhong Shu, Guy Carrault, Lotfi Senhadji
Summary: This paper establishes the connection between CNNs and signal modulation, explains the forward and back-propagation processes of CNNs, and verifies that modulating the signal to the appropriate energy spectrum distribution can improve classification and segmentation accuracy.
Article
Engineering, Multidisciplinary
Jiasong Wu, Fuzhi Wu, Qihan Yang, Yan Zhang, Xilin Liu, Youyong Kong, Lotfi Senhadji, Huazhong Shu
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Proceedings Paper
Engineering, Biomedical
Diego Perez, Gabriel Dieuset, Maxime Yochum, Lotfi Senhadji, Benoit Martin, Virginie Le Rolle, Alfredo Hernandez
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2019)
Proceedings Paper
Computer Science, Information Systems
Jinpeng Xia, Jiasong Wu, Fuzhi Wu, Youyong Kong, Pinzheng Zhang, Lotfi Senhadji, Huazhong Shu
2019 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Nada Chendeb Taher, Imane Mallat, Nazim Agoulmine, Nour El-Mawass
2019 3RD INTERNATIONAL CONFERENCE ON BIO-ENGINEERING FOR SMART TECHNOLOGIES (BIOSMART)
(2019)
Proceedings Paper
Computer Science, Information Systems
Nasrin Taheri, Xu Han, Ahmad Karfoul, Karim Ansari-Asl, Isabelle Merlet, Lotfi Senhadji, Laurent Albera, Amar Kachenoura
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS
(2018)
Proceedings Paper
Computer Science, Information Systems
M. Saleh, A. Karfoul, A. Kachenoura, L. Albera, L. Senhadji
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS
(2018)