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Expert Review of Molecular Diagnostics Volume 20, 2020 - Issue 8
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Special Report

Role of artificial intelligence and vibrational spectroscopy in cancer diagnostics

Ihtesham U. Rehmana Bioengineering │ Engineering Department, Faculty of Science and Technology, Lancaster University, Lancaster, UKCorrespondence[email protected]
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,
Rabia Sannam Khana Bioengineering │ Engineering Department, Faculty of Science and Technology, Lancaster University, Lancaster, UKView further author information
&
Shazza Rehmanb Department of Medical Oncology, Airedale NHS Foundation Trust, Airedale General Hospital, Steeton, West Yorkshire, UKView further author information
Pages 749-755 | Received 08 Feb 2020, Accepted 15 Jun 2020, Published online: 27 Jun 2020

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Huo Xuesong, Chen Pu, Li Jingyan, Xu Yupeng, Liu Dan & Chu Xiaoli. (2023) Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years. Applied Spectroscopy Reviews 0:0, pages 1-60.
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Dougal Ferguson, Alex Henderson, Elizabeth F. McInnes & Peter Gardner. (2023) Weakly supervised anomaly detection coupled with Fourier transform infrared (FT-IR) spectroscopy for the identification of non-normal tissue. The Analyst 148:16, pages 3817-3826.
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Shuyan Zhang, Yi Qi, Sonia Peng Hwee Tan, Renzhe Bi & Malini Olivo. (2023) Molecular Fingerprint Detection Using Raman and Infrared Spectroscopy Technologies for Cancer Detection: A Progress Review. Biosensors 13:5, pages 557.
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Ekaterina Boichenko & Dmitry Kirsanov. (2023) Optical spectroscopy and chemometrics in intraoperative tumor margin assessment. TrAC Trends in Analytical Chemistry 160, pages 116955.
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Dougal Ferguson, Alex Henderson, Elizabeth F. McInnes, Rob Lind, Jan Wildenhain & Peter Gardner. (2022) Infrared micro-spectroscopy coupled with multivariate and machine learning techniques for cancer classification in tissue: a comparison of classification method, performance, and pre-processing technique. The Analyst 147:16, pages 3709-3722.
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Yohei Kanemura, Meiko Kanazawa, Satoru Hashimoto, Yuri Hayashi, Erina Fujiwara, Ayako Suzuki, Takashige Ishii, Masakazu Goto, Hiroshi Nozaki, Takanori Inoue & Hiroki Takanari. (2022) Assessment of skin inflammation using near-infrared Raman spectroscopy combined with artificial intelligence analysis in an animal model. The Analyst 147:12, pages 2843-2850.
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H J Kulik, T Hammerschmidt, J Schmidt, S Botti, M A L Marques, M Boley, M Scheffler, M Todorović, P Rinke, C Oses, A Smolyanyuk, S Curtarolo, A Tkatchenko, A P Bartók, S Manzhos, M Ihara, T Carrington, J Behler, O Isayev, M Veit, A Grisafi, J Nigam, M Ceriotti, K T Schütt, J Westermayr, M Gastegger, R J Maurer, B Kalita, K Burke, R Nagai, R Akashi, O Sugino, J Hermann, F Noé, S Pilati, C Draxl, M Kuban, S Rigamonti, M Scheidgen, M Esters, D Hicks, C Toher, P V Balachandran, I Tamblyn, S Whitelam, C Bellinger & L M Ghiringhelli. (2022) Roadmap on Machine learning in electronic structure. Electronic Structure 4:2, pages 023004.
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Aritri Ghosh, Dwiteeya Chaudhuri, Shreya Adhikary, Kabita Chatterjee, Amit Roychowdhury, Asit Kumar Das & Ananya Barui. (2022) Deep reinforced neural network model for cyto-spectroscopic analysis of epigenetic markers for automated oral cancer risk prediction. Chemometrics and Intelligent Laboratory Systems 224, pages 104548.
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Jiayi Tang, Daniela Kurfürstová & Peter Gardner. (2021) Breast cancer detection using infrared spectral pathology from H&E stained tissue on glass slides. Clinical Spectroscopy 3, pages 100008.
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Alwin Kumar Rathinam, Yunli Lee, David Ngo Chek Ling, Rajesh Singh, Lakshmi Selvaratnam & Narendra Pamidi. (2021) Artificial Intelligence in Medicine: A review of challenges in implementation and disparity. Artificial Intelligence in Medicine: A review of challenges in implementation and disparity.

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