6 Hrs
Source:
الصحة والعلوم الشرق الأوسط
Source: الصحة والعلوم الشرق الأوسط
6 Hrsالصحة والعلوم الشرق الأوسط
Source: الصحة والعلوم الشرق الأوسط
6 HrsReady to play
Ready to play
Researchers at the University of California, Los Angeles, have unveiled an innovative artificial intelligence system called "Maestro" that utilizes large language models to analyze biological mechanisms and classify potential drug combinations to combat prostate cancer resistance. The system successfully evaluated thousands of natural compounds, identifying 23 effective synergistic combinations with the drug "Enzalutamide." Notably, the natural compound berberine demonstrated a consistent anti-cancer effect across various models, characterized by increased activity of the protein "AMPK" and inhibition of "mTORC1" signaling pathways. These findings offer promising therapeutic options that may help overcome treatment resistance in the disease.
Notice: This Is an AI-Generated Summary
Comments (0)