Cancer remains one of the leading causes of death worldwide, causing the death of millions of people each year. However, due to the spatial complexity and heterogeneity of tumors, traditional strategies such as surgery, radiotherapy, and chemotherapy play a limited role in cancer diagnosis or treatment. In recent years, numerous platforms have been developed for effective cancer diagnosis and imaging, as well as a successful therapy. These platforms promise much for cancer diagnosis and prolonging patients' lives. However, most of these platforms have several problems related to their cost, specificity, immune tolerance, and systemic toxicity, which severely limit their application and clinical implementation.
Bioinspired or biomimetic platforms, modeled after nature, could simulate the natural, physical, and chemical properties of biological systems or recapitulate biological processes, offering new opportunities to improve the efficiency of cancer diagnosis and the effectiveness of treatment. In recent years, these well-designed platforms have attracted great attention due to their improved biocompatibility, fewer side effects, natural targeting, and multiple modifications. These advantages indicate the great potential of biomimetic systems and would definitely expand the application of biomimetic platforms in cancer diagnosis and therapy, which could improve survival quality and benefit cancer patients in the near future.
In this research topic, we focus on the novel design and rational construction of bioinspired and biomimetic platforms in cancer diagnosis and therapy through chemical, material, nanotechnology, and biology approaches, which could promote cancer treatment with increased efficacy and reduced toxicity. Both original research articles and review articles are welcome. Preferred subtopics include:
1. Bioinspired material for effective tumor treatment,
2. Biomimetic systems for tumor imaging or diagnosis,
3. Biomimetic systems for analysis and detection of biomarkers,
4. Biomimetic systems for cancer immunotherapy,
5. Bionic intelligence algorithms for tumor diagnosis.
Cancer remains one of the leading causes of death worldwide, causing the death of millions of people each year. However, due to the spatial complexity and heterogeneity of tumors, traditional strategies such as surgery, radiotherapy, and chemotherapy play a limited role in cancer diagnosis or treatment. In recent years, numerous platforms have been developed for effective cancer diagnosis and imaging, as well as a successful therapy. These platforms promise much for cancer diagnosis and prolonging patients' lives. However, most of these platforms have several problems related to their cost, specificity, immune tolerance, and systemic toxicity, which severely limit their application and clinical implementation.
Bioinspired or biomimetic platforms, modeled after nature, could simulate the natural, physical, and chemical properties of biological systems or recapitulate biological processes, offering new opportunities to improve the efficiency of cancer diagnosis and the effectiveness of treatment. In recent years, these well-designed platforms have attracted great attention due to their improved biocompatibility, fewer side effects, natural targeting, and multiple modifications. These advantages indicate the great potential of biomimetic systems and would definitely expand the application of biomimetic platforms in cancer diagnosis and therapy, which could improve survival quality and benefit cancer patients in the near future.
In this research topic, we focus on the novel design and rational construction of bioinspired and biomimetic platforms in cancer diagnosis and therapy through chemical, material, nanotechnology, and biology approaches, which could promote cancer treatment with increased efficacy and reduced toxicity. Both original research articles and review articles are welcome. Preferred subtopics include:
1. Bioinspired material for effective tumor treatment,
2. Biomimetic systems for tumor imaging or diagnosis,
3. Biomimetic systems for analysis and detection of biomarkers,
4. Biomimetic systems for cancer immunotherapy,
5. Bionic intelligence algorithms for tumor diagnosis.