Spectroscopy of Biological Molecules
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Materials Science".
Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 2147
Special Issue Editor
Interests: biomaterials and regenerative medicine; bioengineering; biospectroscopy; early detection and diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spectroscopic techniques have immense potential in the diagnosis of human diseases including infections, inflammatory conditions, and various cancers. Spectroscopy, with its advances in technology, is central to novel applications in bioengineering, natural sciences, and now in the medical field. Both Raman (RS) and infrared (IR) spectroscopy can help in the diagnosis of infections at point of care. Spectroscopic techniques have attracted growing interest as biomedical tools for the early diagnosis and monitoring of human disease. The need to study bacteria and viruses has seen renewed interest with recent technologies capable of providing snapshot information about the overall composition of biological species. Using spectroscopy coupled with multivariate analysis could be a powerful approach to exploring biomolecules. Artificial intelligence has the potential to customise the deep neural networks that have the ability to learn the spectra, and after training, could make predictions instantly regarding spectra. Using RS and IR combined with artificial intelligence and machine learning will allow to monitor the chemical pathway to the progression of the disease and identify any changes in the chemical structure of the viruses and bacteria that may occur. In addition, due to precise determination of chemical structural changes by spectroscopy, it should be possible to detect the concentration of various infections in biological molecules. This Special Issue will create an important source for clinicians and no-clinicians exploring the clinical applications of spectroscopy.
Prof. Dr. Ihtesham Ur Rehman
Guest Editor
Manuscript Submission Information
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Keywords
- early diagnosis and detection of diseases
- biospectroscopy
- biomaterials
- cancer research
- artificial intelligence and machine learning
