Is (AI) Artificial Intelligence the future of Pharma R&D ? Purpose, Transparency, Cost Reduction through Acquired Knowledge (OpEd) Henry Cooper Supervised and unsupervised machine learning (AI) can help healthcare executives better enhance patient care outcomes and service delivery. Comprehending how machine learning aids healthcare organizations first calls for healthcare executives to grasp of what AI is and what it can do. First, it's all about discovering new knowledge,” says Zeeshan Syed, director of the clinical inference and algorithms program at Stanford Health Care and clinical associate professor, anesthesiology, perioperative and pain medicine, at the Stanford University School of Medicine.
AI can assist healthcare executives "and caregivers" with things like precision medicine. “Precision medicine is about how to have care that is personalized for an individual and match the right patients to the right care, getting decisions correct and individually optimal,” “Machine learning has a role to play in all of these decisions, to inform better characteristics of patients, like new biomarkers and new information to subtype an individual and reflect their characteristics more accurately. Improving our ability to understand diseases and predict diseases; there is enormous potential for us to use machine learning that feeds into these decisions.”
Source: Zeeshan Syed - Director of the Clinical Inference and Algorithms Program at Stanford Health Care at the Stanford University School of Medicine.
Henry Cooper, (12/2020)