AI in healthcare has invaluable uses in detecting and treating conditions like cancer but its adoption can raise associated security issues. Current technology systems and security protocols might not be enough. Hence, experts suggest implementing AI in stages with enhanced cybersecurity practices and partner with outside experts for security standards. The need for confidential computing, which protects data when stored and transferred, is also underscored. This will ensure fairness and avoid bias in patient treatment, thus creating a more trustworthy and personalized healthcare experience.
Startup OMass Secures $310M to Advance Drug for Rare Endocrine Disorder
OMass’s molecule is vying to become an alternative to a Neurocrine Biosciences drug that is currently the only FDA-approved therapy for congenital adrenal hyperplasia. But
