“Tulane University scientists have developed a new artificial intelligence-based method that more accurately detects genetic markers of antibiotic resistance in Mycobacterium tuberculosis and Staphylococcus aureus — potentially leading to faster and more effective treatments” –bizneworleans.
“We’re essentially teaching a computer to recognize resistance patterns without needing us to point them out first”.
“Proteins that fight tumor growth, gene exons that can be modified, and receptors on immune cells that control their cancer-killing powers. These are the types of mechanisms and bodily processes that could be key to curing or treating disease, and which form the targets of modern drug development.” say BioSpace
“By integrating data from genomics, proteomics and cheminformatics, AI can identify novel targets that have been underexplored, evaluating their potential with remarkable speed and accuracy.”
Read more: How AI Is Helping Pharma Companies Stand Out in Drug Development