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									<identifier>oai:www.peertechzpublications.org:10.17352/ojor.000055</identifier>
									<datestamp>2025-12-18</datestamp>
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										Predicting Physiotherapy Management of Musculoskeletal Abnormalities by 2030—A Phase-Specific Evidence-Based Protocol Integrating DNA-Level Prognostic Insights
										</dc:title><dc:creator>P Muthkrishnan</dc:creator><dc:description>&lt;p&gt;The forecasting model underpinning future adoption of phase-specific, DNA-informed physiotherapy protocols employs a hybrid methodological framework, integrating population-level epidemiological data, genomic biobank insights, and contemporary clinical adoption trends. Key assumptions include:&lt;/p&gt;&lt;p&gt;- The routine clinical utility of DNA-based prognostic profiling for musculoskeletal disorders by 2030, facilitated by declining costs and expanded biorepository access.&lt;/p&gt;&lt;p&gt;- Accelerated adoption of digital health and AI-powered rehabilitation technologies, following a sigmoidal (logistic) growth curve, sensitive to sociodemographic and policy variables.&lt;/p&gt;&lt;p&gt;- Stratified patient management anchored both in genomic risk and longitudinal function, enabling precision technology deployment and tailored rehabilitation intensity.&lt;/p&gt;</dc:description>
										<dc:publisher>Open Journal of Orthopedics and Rheumatology - Peertechz Publications</dc:publisher>
										<dc:date>2025-12-18</dc:date>
										<dc:type>Research Article</dc:type>
										<dc:identifier>https://doi.org/10.17352/ojor.000055</dc:identifier>
										<dc:language>en</dc:language>
										<dc:rights>Copyright © P Muthkrishnan et al.</dc:rights>
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