The Federal Medical and Rehabilitation Center of the Russian Health Ministry Health is a unique therapeutic and prophylactic setting. Its unique character is attributable to the fact that it incorporates specialized clinical departments that provide high-tech medical care and the Center for Restorative Medicine and Rehabilitation. Collaboration of these units permits to initiate rehabilitative measures from the very first day of the patient's stay in the hospital with due regard for the nosological form of his (her) disease. The activities of the Center for Restorative Medicine and Rehabilitation are based on the application of up-to-date remediation technologies that ensure the long-term rehabilitative effect and allow the duration of hospital stay to be decreased. During many years of practical work, the Centre has developed the proper organizational structure and gained a vast experience of comprehensive early rehabilitation after the most common diseases that was summarized by its specialists in numerous publications and theses and was many times reported at various scientific forums in this country and abroad.
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J Phys Ther Sci
January 2025
Department of Orthopaedic Surgery, Hirosaki Memorial Hospital, Japan.
[Purpose] This study aimed to compare the effects of transcutaneous electrical nerve stimulation and microcurrent electrical neuromuscular stimulation on pain relief and knee function following total knee arthroplasty. [Participants and Methods] This was a prospective, single-center, three-group parallel study. Thirty-five patients scheduled for total knee arthroplasty were divided into transcutaneous electrical nerve stimulation, microcurrent electrical neuromuscular stimulation, and control groups.
View Article and Find Full Text PDFFront Bioeng Biotechnol
December 2024
Department of Rehabilitation Medicine, University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Introduction: Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia, and balance disorders, significantly impairing the quality of life for affected patients. While motion pose estimation and gait analysis can aid in early diagnosis and timely intervention, clinical practice currently lacks objective and accurate tools for gait analysis.
Methods: This study proposes a multi-level 3D pose estimation framework for PD patients, integrating monocular video with Transformer and Graph Convolutional Network (GCN) techniques.
Front Immunol
December 2024
Department of Respiratory and Critical Care Medicine, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China.
Background: APOE gene polym orphisms have been linked to Alzheimer's disease and coronary heart diseases. However, their relationship with lung adenocarcinoma (LUAD) remains uncertain.
Methods: This study analyzed a cohort of 600 individuals comprising 200 LUAD patients in the lung cancer group and 400 healthy individuals as controls.
Brain Commun
January 2025
Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Sodium MRI can measure sodium concentrations in people with multiple sclerosis, but the extent to which these alterations reflect metabolic dysfunction in the absence of tissue damage or neuroaxonal loss remains uncertain. Increases in total sodium concentration and extracellular sodium concentration are believed to be indicative of tissue disruption and extracellular space expansion. Conversely, increase in intracellular sodium concentration may represent early and transient responses to neuronal insult, preceding overt tissue damage.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research and treatment. We critically analyze the latest AI technologies and their applications across multiple domains, including genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, and pathomics in lung cancer research.
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