The Outlines of Insanity. A Course of Lectures Delivered at the Albany Medical College during January and February, 1891.By Henry Hun, M. D., Professor of Diseases of the Chest and Nervous System. Reprinted from theAlbany Medical Annals,July-October, 1891 [PDF]
J. M. M.
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Actin and Diseases of the Nervous System. [PDF]
Bernstein BW, Maloney MT, Bamburg JR.
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Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
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Application of Umbilical Cord Blood Derived Stem Cells in Diseases of the Nervous System. [PDF]
Achyut BR, Varma NR, Arbab AS.
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Intrinsically Soft Implantable Electronics for Long‐term Biosensing Applications
Intrinsically soft implantable biosensors address the mechanical mismatch of conventional rigid implants, improving biocompatibility and stability. This review explores soft encapsulation matrices, stretchable conductors, implantation strategies, and chronic fixation techniques.
Su Hyeon Lee+5 more
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Correction: β-catenin-mediated YAP signaling promotes human glioma growth
Yan Wang+8 more
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ILLUSTRATIONS OF IMPAIRMENT OF THE POWER OF INTEL LIGENT LANGUAGE, IN CONNEXION WITH DISEASE OF THE NERVOUS SYSTEM. [PDF]
J OGLE
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A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li+6 more
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This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh+11 more
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