Applied Sciences Webinar | Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications, 27 November 2024
Vibrational spectroscopy is one of the key instrumentations that allows for the non-invasive investigation of the structural and chemical composition of both organic and inorganic materials. In recent years, relevant progress has been achieved within the biospectroscopy field, with applications mainly being in clinical chemistry (disease pattern recognition, non-invasive assays, or the screening of neurodegenerative diseases), medical diagnostics (in particular, cancer vs. healthy), or the characterization of biomaterials (e.g., cartilage or bone composition). Instrumental developments with regard to components include fiber lasers, quantum cascade lasers as tunable radiation sources, components for bedside patient monitoring, and instruments for microscopy and imaging.
In precision medicine, spectral histopathology and cytopathology have advanced to deliver results that are ready for application in intraoperative decisions. Spectral data handling for tissue classification poses the challenge of an enormous amount of data, which requires efficient algorithms, chemometric methods, and high computer power with appropriate data storage. Machine learning and deep learning algorithms have been successfully applied to manage large datasets originating from the applications of such techniques.
The related Special Issue, “Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications”, aims to collect and publish recent advances in this interdisciplinary area. Research articles, as well as reviews, dealing with innovative measurement techniques, instrumentation development, and novel applications of all parts of vibrational spectroscopy and AI methods are invited for submission. Manuscripts referring to the analysis of biofluid or tissue biopsy samples, cellular and subcellular investigations, or integral tissue characterization and related innovative methods of data analysis are welcome.
Date: 27 November 2024 at 10:00 a.m. CET | 5:00 p.m. CST Asia
Webinar ID: 819 8482 0659
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Program:
|
Speaker/Presentation |
Time in CET |
Time in CST Asia |
|
Dr Mario D’Acunto Chair Introduction |
10:00–10:10 a.m. |
5:00–5:10 p.m. |
|
Dr Mario D’Acunto Raman Spectroscopy Applied to Biomedicine |
10.10–10.30 a.m. |
5:10–5:30 p.m. |
|
Dr Francesco Conti Topographical Machine Learning of Raman |
10.30–10.50 a.m. |
5:30–5:50 p.m. |
|
Dr Gianmarco Lazzini Cancer Grading by Raman Spectroscopy |
10.50–11.10 a.m. |
5:50–6:10 p.m. |
|
Q&A Session |
10.10–10.15 a.m. |
6:00–6:15 p.m. |
|
Mario D’Acunto Closing of Webinar |
11.15–11.20 a.m. |
6:15–6:20 p.m. |
Webinar Chair and Keynote Speakers:
- Dr Mario D’Acunto (Chair), Institute of Biophysics, Italian National Research Council, Italy;
- Dr Francesco Conti, INRIA Centre, Université Côte d'Azur, France;
- Dr Gianmarco Lazzini, Institute of Information Science and Technologies, Italian National Research Council, Italy.
Relevant Special Issue:
“Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications”
Guest Editor: Dr. Mario D’Acunto
Deadline for manuscript submissions: 20 January 2025
For more information about this webinar, please visit the following link: https://sciforum.net/event/ApplSci-18.