Results 201 to 210 of about 1,670,654 (326)
M. Tramontano +6 more
semanticscholar +1 more source
Soft, Flexible, and Stretchable Platforms for Tissue‐Interfaced Bioelectronics
Bio‐integrated electronics provide mechanically compliant and stable interfaces with soft biological tissues. Representative applications include neural interfaces, wet‐organadhesive electronics, and skin‐interfaced devices. E represents Young´s modulus and ε represents strain.
Kento Yamagishi +3 more
wiley +1 more source
The synergistic mechanism of multimodal psychological intervention in neurological rehabilitation and motor function recovery: from evidence-based practice to digital transformation. [PDF]
Xu X, Fu Z.
europepmc +1 more source
Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases
This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo +5 more
wiley +1 more source
Multidisciplinary Innovation in Neurosurgery and Neuroscience: Advancing Frontiers in Diagnosis, Therapy, and Neurological Rehabilitation. [PDF]
Cannizzaro D +3 more
europepmc +1 more source
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Outcomes of Spinal Manipulation and Neurological Rehabilitation for a Patient With Chronic Tension-Type Headaches and a Prior History of Head Trauma. [PDF]
Perman DJ, Hughes S, Murillo P, Ward K.
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source

