Abstract: Precision medicine seeks to provide individualized information-based care across a range of therapeutic areas, utilizing patient-specific clinical, biological, and lifestyle data. The clinical implementation of precision medicine remains nascent but has the potential to facilitate the discovery, development, and delivery of therapeutics that target disease subtypes and patient populations defined by their unique characteristics. It offers new opportunities for treatment at any stage of disease, from prevention in high-risk groups to rethinking indications for established products.
Three interconnected developments enable the effective implementation of precision medicine: the creation of large and diverse biological, clinical, imaging, digital, and lifestyle datasets; the emergence of new transdisciplinary methods to derive knowledge from these datasets; and the establishment of new product development models that leverage the acquired knowledge to deliver more targeted, safer, and more efficacious therapeutics. The application of artificial intelligence (AI) to clinical, imaging, and lifestyle data, as well as new approaches to risk prediction and disease progression modeling, cohort assembly, and knowledge extraction from electronic health records are enabling more accurate stratification of complex diseases within oncology, rare diseases, cardio-metabolic conditions, infectious diseases, and neuropsychiatric disorders.

Keywords: Precision Medicine, Individualized Care, Patient-Specific Data, Clinical Data Integration, MultiOmics Analytics, Lifestyle And Digital Biomarkers, Disease Stratification, Risk Prediction Models, Disease Progression Modeling, Cohort Assembly, Electronic Health Records Analytics, Artificial Intelligence In Healthcare, Transdisciplinary Methods, Targeted Therapeutics, Clinical Decision Support, DataDriven Drug Development, Oncology And Rare Diseases, CardioMetabolic And Infectious Diseases, Neuropsychiatric Disorders, Personalized Treatment Pathways.


Downloads: PDF | DOI: 10.17148/IJARCCE.2023.121228

How to Cite:

[1] Vinod Battapothu, "Artificial Intelligence as a Catalyst for Precision Medicine," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.121228

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