Challenges to AI and ML in drug safety in the health sector

SOLLERS COLLEGE Challenges to Al and ML in drug safety in the health sector Massive amounts of data must be collected , analyzed , stored , and synthesized for Al and ML to work with them . Naturally , there are some requirements that must be satisfied when there is data . Among them are the following : Management of data : It is best to use pre - planned methods when working with complex and unstructured data . The data can be handled by Al and ML , but the algorithm still needs to be properly programmed . Specialists in data science : Experts in data science must be involved in the integration of Al and ML . It implies that organizations involved in the pharmaceutical and healthcare industries need to set aside space and funds to hire these modern experts who are conversant in Al and ML . Data security : Personnel handling patient data must carefully adhere to data security standards and guidelines . It goes without saying that furthering the integration of Al and ML necessitates redesigning such measures to bring them up to date . But in addition , HIPAA compliance and high - grade encryption are required for systems handling sensitive data . A property - related intellectual Intellectual property rights are raised by Al and machine learning . To ensure that Al - driven biotech and pharmacy inventions do not fall through the cracks of current intellectual property law , the existing case law will need to be updated as more businesses transition to Al- and ML - driven approaches . Sollers College , 33 Wills Way Building , 9 Piscataway , NJ 08854 Phone : 201-254-5772 | Email ID : [email protected] | Website : www.sollers.edu