A recent study has introduced a novel method combining nano informatics and machine learning to precisely predict cancer cell behaviors, enabling the identification of cell subpopulations with distinct characteristics like drug sensitivity and metastatic potential.
Research recently published in Drug Resistance Updates has revealed a previously unknown biological process through which breast tumor cells develop resistance to standard treatment, which could open the door for cancer scientists around the world to further target this vulnerability in hopes of creating more effective therapies for disease.
Antibiotic resistance is increasing at an alarming rate, causing global concern. University of Otago researchers have secured funding to find out if a commonly prescribed medicine is adding to the problem.