As an important research framework, rehabilomics provides for holographic research based on rehabilitation practice, offering significant advancements in function evaluation, outcome prediction, and personalized rehabilitation. One of its remarkable contributions lies in the identification and utilization of biomarkers, which serve as objective indicators for body functioning. By complementing the International Classification of Functioning, Disability, and Health (ICF) assessment, rehabilomics empowers healthcare professionals to better understand the intricate complexities of an individual's functional status. Through the analysis of biomarkers such as serum markers, MRI imaging, and digital signals derived from sensors, researchers can establish correlations between these biomarkers and diagnosis, disease severity, and prognosis for conditions like traumatic brain injuries (TBI), Parkinson's disease, and various cancers.
Moreover, rehabilomics goes beyond the traditional approach by examining a broad range of individual biological characteristics. By considering genetic factors, proteomic profiles, metabolomic patterns, and other omics data, personalized rehabilitation programs can be designed to cater to each patient's specific needs and responses. This personalized approach maximizes the effectiveness of rehabilitation and enhances patient outcomes.
In this Research Topic, we focus on recent advances in the applications of rehabilomics in surgery to shed light on its important role in integrating omics research with rehabilitation practice. Any Original Research and Review focusing on the following aspects of surgical conditions are welcome:
1. New insights of functioning evaluation
2. Biomarker research for outcome prediction and individualized treatment & rehabilitation
3. Mechanisms of rehabilitation strategies
As an important research framework, rehabilomics provides for holographic research based on rehabilitation practice, offering significant advancements in function evaluation, outcome prediction, and personalized rehabilitation. One of its remarkable contributions lies in the identification and utilization of biomarkers, which serve as objective indicators for body functioning. By complementing the International Classification of Functioning, Disability, and Health (ICF) assessment, rehabilomics empowers healthcare professionals to better understand the intricate complexities of an individual's functional status. Through the analysis of biomarkers such as serum markers, MRI imaging, and digital signals derived from sensors, researchers can establish correlations between these biomarkers and diagnosis, disease severity, and prognosis for conditions like traumatic brain injuries (TBI), Parkinson's disease, and various cancers.
Moreover, rehabilomics goes beyond the traditional approach by examining a broad range of individual biological characteristics. By considering genetic factors, proteomic profiles, metabolomic patterns, and other omics data, personalized rehabilitation programs can be designed to cater to each patient's specific needs and responses. This personalized approach maximizes the effectiveness of rehabilitation and enhances patient outcomes.
In this Research Topic, we focus on recent advances in the applications of rehabilomics in surgery to shed light on its important role in integrating omics research with rehabilitation practice. Any Original Research and Review focusing on the following aspects of surgical conditions are welcome:
1. New insights of functioning evaluation
2. Biomarker research for outcome prediction and individualized treatment & rehabilitation
3. Mechanisms of rehabilitation strategies
