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| http://dx.doi.org/10.1016/j.bpj.2022.11.030 | DOI Listing |
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Oncol Res
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Polytechnic University of Coimbra, ESTESC, UCPCBL, Rua 5 de Outubro, SM Bispo, Apartado, Coimbra, 3046-854, Portugal.
Background: Gastric Cancer (GC) is the 5th most prevalent and 4th most deadly neoplasm globally. Immunotherapy has emerged as a promising treatment approach in GC, potentially improving positive clinical outcomes while addressing the limitations of conventional therapies. GC immunotherapy modalities consist of adoptive cell therapy (ACT), cancer vaccines, and immune checkpoint inhibitors (ICI).
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Cancer remains a formidable global health challenge, necessitating the development of innovative diagnostic techniques capable of early detection and differentiation of tumor/cancerous cells from their healthy counterparts. This review focuses on the confluence of advanced computational algorithms with noninvasive, label-free impedance-based biophysical methodologies-techniques that assess biological processes directly without the need for external markers or dyes. This review elucidates a diverse array of state-of-the-art impedance-based technologies, illuminating distinct electrical signatures inherent to cancer vs healthy tissues.
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Graduate Course in Medicine (Pathological Anatomy), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Coimbra Health School (ESTeSC), Polytechnic University of Coimbra, 3046-854 Coimbra, Portugal.
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