Progress in biomedical engineering (Bristol, England)
Sep 4, 2025
Image-guided tumor ablation (IGTA) has revolutionized modern oncological treatments by providing minimally invasive options that ensure precise tumor eradication with minimal patient discomfort. Traditional techniques such as ultrasound (US), compute...
Signal transduction and targeted therapy
Sep 3, 2025
Accurate prognosis prediction is essential for guiding cancer treatment and improving patient outcomes. While recent studies have demonstrated the potential of histopathological images in survival analysis, existing models are typically developed in ...
Chemical communications (Cambridge, England)
Aug 28, 2025
There is a growing interest in developing one-health "plug and play" platforms for making different therapeutics/prophylactics to target various biological entities such as viruses, cancer cells, or bacteria. Such a platform could benefit from advanc...
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...
Medical oncology (Northwood, London, England)
Aug 26, 2025
Immune profiling has become a transformative tool in oncology, offering comprehensive information on tumor immune interactions and facilitating precision medicine. Recent advances such as mass cytometry (CyTOF), single-cell RNA sequencing (scRNA-seq)...
Journal of controlled release : official journal of the Controlled Release Society
Aug 25, 2025
The clinical translation of DDS is still one of the most challenging issues for the further development of therapeutic breakthroughs, especially for cancer and complex diseases. This review provides a critical overview of the factors that influence t...
BACKGROUND: Rapid advancements in high-throughput sequencing technologies allow for detailed and accurate measurement of omics features within their biological context. The integration of different omics types creates heterogeneous datasets, presenti...
Cardiotoxicity is the loss of the heart muscle's ability to contract effectively, often due to chemotherapy or radiation therapy. This study uses interpretable machine learning to predict post-chemotherapy cardiotoxicity using radiomics features extr...
BACKGROUND: Artificial intelligence is reshaping cancer care, but little is known about how people with cancer perceive its integration into their care. Understanding these perspectives is essential to ensuring artificial intelligence adoption aligns...
Research on neoadjuvant immunotherapy (NAI) is increasingly focusing on immunotherapy-related adverse events (AEs). However, many unknowns remain in this field. Hence, through the machine learning (ML)-driven informatics analysis, this study aimed to...
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