Application of Spectral Analysis in Disease Diagnosis and Treatment
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Medicine".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 2
Special Issue Editors
Interests: forensic science; spectroscopy; mass spectrometry; miniaturized analytical systems; disease diagnostics
Interests: spectroscopy; biomedical diagnostics; forensic chemistry; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Clinical laboratory testing underpins accurate diagnosis, guides therapy, and enables monitoring of disease progression and treatment response. Spectral analysis provides label-free molecular fingerprints that capture disease-related biochemical changes across neurodegenerative, oncologic, and metabolic disorders—supporting diagnosis, risk stratification, and longitudinal follow-up. Spectroscopic and spectrometric platforms—including Raman (SERS, deep-UV resonance), ATR-FTIR, hyperspectral imaging, UV–Vis/fluorescence, and mass spectrometry—profile protein conformation, lipids, metabolites, oxidative stress, and microenvironmental shifts. Minimal preparation, compatibility with fiber-optic probes and endoscopy, and scalability from single cells to intact tissues make these approaches suitable for early detection, intraoperative guidance, and real-time therapy monitoring. Coupling spectral data with chemometrics and machine learning (e.g., PCA, PLS-DA, SVM, random forests, CNNs) yields robust classifiers that integrate with imaging and multi-omics.
This Special Issue invites original research and review articles that advance biomolecular research through multimodal platforms, hyperspectral and mass-spectral imaging, biofluid-based classifiers, and spectroscopically guided surgery, therapy, and monitoring. We mainly focused on basic science, in vitro, in vivo, and pre-clinical research that contribute to a deeper mechanistic understanding of disease processes or therapeutic effects. To ensure scientific rigor and accelerate translational pathways, we particularly welcome studies with rigorous clinical validation, prospective design, blinding, calibration transfer, batch correction, external testing, and explainable AI to accelerate translation into routine care.
Prof. Dr. Entesar Al-Hetlani
Prof. Dr. Igor Lednev
Guest Editors
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Keywords
- molecular spectroscopy
- mass spectrometry
- medical diagnostics
- disease treatment/treatment monitoring
- lipidomics/proteomics/metabolomics
- biofluids
- machine learning
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