Journal Article Review Epublish
PubMed: 40352638 DOI: 10.1002/gch2.202400274
Emerging Technologies for Timely Point-of-Care Diagnostics of Skin Cancer.
Glob Chall 9(5):2400274
Authors: Jarrod L Thomas, Adrian H M Heagerty, Pola Goldberg Oppenheimer
Affiliations
- Advanced Nanomaterials Structures and Applications Laboratories School of Chemical Engineering College of Engineering and Physical Sciences University of Birmingham Edgbaston Birmingham B15 2TT UK.
- Healthcare Technologies Institute Institute of Translational Medicine Mindelsohn Way Birmingham B15 2TH UK.
- Department of Dermatology University Hospitals Birmingham NHS Foundation Trust Mindelsohn Way Birmingham B15 2GW UK.
- Institute of Inflammation and Ageing College of Medical and Dental Sciences Mindelsohn Way Birmingham B15 2GW UK.
Abstract
Skin cancer is a global health crisis and a leading cause of morbidity and mortality worldwide. A leading factor of malignancy remains the UV radiation, driving various biomolecular changes. With shifting population behaviors, deficiency in screening programs and reliance on self-presentation, climate change and the ageing world populace, global incidents have been surging alarmingly. There is an urgent need for new technologies to achieve timely intervention through rapid and accurate diagnostics of skin cancer. Raman spectroscopy has been emerging as a highly promising analytical technology for diagnostic applications, poised to outpace the current costly, invasive and slow procedures, frequently hindered by varying sensitivity, specificity and lack of portability. Herein, complex and intricate progress are overviewed and consolidated across medical and engineering disciplines with a focus on the latest advances in the traditional and emerging skin cancer diagnostics. Methods detecting structural and chemical responses are categorized along with emerging chemo-biophysical sensing techniques. Particular attention is drawn to Raman spectroscopy, as a non-invasive, rapid and accurate sensing of molecular fingerprints in dermatological matrix with an additional focus on artificial intelligence, as a decision support tool collectively, laying the platform toward development and rapid translation of point-of-care diagnostic technologies for skin cancer to real-world applications.
MeSH
Skin, Point-Of-Care Systems, Translational Research, Biomedical, Neoplasms, Point-Of-Care Testing, Dermatology, Skin Neoplasms