Year: 2020
Type: article
Abstract: Personalized medicine, a paradigm that tailors medical treatment to individual characteristics, is revolutionizing healthcare. One of the key enablers of this revolution is deep learning, a subset of artificial intelligence (AI) that excels at extracting patterns from complex data. This paper explores the role of deep learning in personalized medicine, focusing on its contributions to enhancing precision health initiatives through tailored treatment and diagnosis. We discuss how deep learning algorithms analyze diverse datasets, including genomics, imaging, and clinical records, to generate insights that guide personalized interventions. We also examine the challenges and ethical considerations associated with implementing deep learning in personalized medicine. Through this investigation, we highlight the transformative potential of deep learning in advancing precision health and improving patient outcomes.
Source: Journal of Science & Technology
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7217580506