Year: 2025
Type: article
Abstract: Precision medicine in diabetes management is a groundbreaking approach that tailors treatment strategies to individual patients, moving beyond the one-size-fits-all model. It leverages genetic, molecular and lifestyle data to personalize care. The complex interactions between genetics, the environment and lifestyle decisions that lead to diabetes growth and progression are understood through the theoretical framework. Numerous susceptibility genes have been identified thanks to genomic research, which facilitates risk assessment and customized therapies. Early disease identification has been made easier to detect biomarker. The integration of many data sources for accurate patient profile is possible by cutting-edge technologies like machine learning and data analytics. A thorough understanding of disease mechanisms has been made possible by the inclusion of omics data, genomics and metabolomics, paving the way for the creation of tailored treatments. This involves identifying the precise diabetes subtype of a patient, predicting how they will react to certain drugs and creating a specialized diet and exercise regimen. Wearable technologies and continuous glucose monitoring improve real-time data collecting, enabling quick modifications. Pharmacogenomics also aids in selecting the best treatments while reducing adverse effects. Precision medicine gives medical professionals the ability to improve outcomes and avoid problems, eventually raising the quality of life for diabetics. It represents a paradigm change in the treatment of diabetes, allowing for more focused therapies and effective control.
Authors: K N Pooja, D R Bharathi, Syed Sagheer Ahmed, B M Jayanth, K Chandan
Institution: Adichunchanagiri University
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407616531