Background Cancer remains one of the leading causes of morbidity and mortality worldwide. Despite continuous advances in anticancer therapy, the clinical effectiveness of many anti
Objectives Hemocompatibility and controlled release properties are critical factors in designing drug delivery systems to enhance efficacy in cancer therapy. This study aimed to de
Nanomedicine is a promising strategy for cancer therapy. However, the low delivery efficiency of nanoparticles (NPs) to tumors remains a challenge and hinders clinical translation.
Immune checkpoint inhibitors (ICIs) represent a promising therapeutic strategy in bladder cancer (BCa), while limited response rates as monotherapy significantly restrict clinical
Objective To explore the integration of artificial intelligence (AI), mainly machine learning (ML) and deep learning (DL), with nanotechnology, as a novel approach for countering a
Objectives The validation of accurate three-dimensional (3D) models holds significant importance for anti-cancer drug development and screening processes, aiming to minimise the ti
Two-dimensional (2D) nanomaterials including emerging post-graphene materials such as transition metal dichalcogenides (TMDs) have shown promising potential for different biomedica