Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities.

Bladder cancer (BC) is a serious and common malignant tumor of the urinary system. Accurate and convenient diagnosis and treatment of BC is a major challenge for the medical community. Due to the limited medical resources, the existing diagnosis and treatment protocols for BC without the assistance of artificial intelligence (AI) still have certain shortcomings.

β-elemene promotes miR-127-3p maturation, induces NSCLCs autophagy, and enhances macrophage M1 polarization through exosomal communication.

β-elemene has been observed to exert inhibitory effects on a multitude of tumors, primarily through multiple pathways such as the inhibition of cancer cell proliferation and the induction of apoptosis. The present study is designed to elucidate the role and underlying mechanisms of β-elemene in the therapeutic intervention of non-small cell lung cancer (NSCLC). Both and experimental models corroborate the inhibitory potency of β-elemene on NSCLCs.

Interval-based sparse ensemble multi-class classification algorithm for terahertz data.

Terahertz time-domain spectroscopy (THz-TDS) has been widely used for food and drug identification. The classification information of a THz spectrum usually does not exist in the whole spectral band but exists only in one or several small intervals. Therefore, feature selection is indispensable in THz-based substance identification.