Scientists at Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, collaborating with international researchers, have developed an AI algorithm that performs advanced computational analysis to identify potential therapeutic targets for glioblastoma multiforme and other cancers.
A team led by Cedars-Sinai Health Sciences University investigators has created a faster, cheaper way to determine the genes expressed in cancerous tumors. The AI-based tool could make personalized cancer treatment available to more patients.
