AI-driven analytics can detect early signs of emerging resistance through trends in therapeutic response, enabling clinicians to adjust regimens preemptively
This property has been leveraged to design redox-responsive DDSs containing these transition metal elements
Katsiampoura A, Raghav K, Jiang ZQ, Menter DG, Varkaris A, Morelli MP, Manuel S, Wu J, Sorokin AV, Rizi BS, Bristow C, Tian F, Airhart S, Cheng M, Broom BM, Morris J, Overman MJ, Powis G, Kopetz S
Investigators are particularly interested in determining the mechanisms by which effects observed in murine models relate to broader mammalian metabolic regulation, and whether different experimental conditions (young vs aged models, healthy vs metabolically compromised states) show differential responses to NNMT inhibition