Introduction This review explores the transformative impact of machine learning (ML) on
carcinogenicity prediction within drug development. It discusses the historical context and …

Objective Triple-negative breast cancer (TNBC) is a very aggressive form of cancer that
grows and spreads very fast and generally relapses. Therapeutic options of TNBC are …

MicroRNAs (miRNAs) are involved in the modulation of pathogenic genes by binding to their
mRNA sequences'3′ untranslated regions (3′ UTR). Interleukin-6 (IL-6) is known to …

The cancer paradigm is generally based on the somatic mutation model, asserting that
cancer is a disease of genetic origin. The mitochondrial–stem cell connection (MSCC) …

Gastrointestinal cancers are accountable for the highest mortality rates on a global scale,
including gastric adenocarcinomas and hepatocellular carcinoma on a large scale. Tumor …

Abstract Analysis of cells, soluble substances, and related tissues and cells that cooperate to
extend life continues to awaken researchers' curiosity. Because of its incredible complexity …

Cancer cells alter their metabolic phenotypes with nutritional change. Single agent
approaches targeting mitochondrial metabolism in cancer have failed due to either dose …

Objective: Triple-negative breast cancer (TNBC) is a very aggressive form of cancer that
grows and spreads very fast and generally relapses. Therapeutic options of TNBC are …