Paediatric Neurology:
Pediatric neurology or child neurology relates to a specialized branch of medicine that deals with the diagnosis and management of neurological conditions in neonates (newborns), infants, children and adolescents. The department of child neurology encloses diseases and disorders of the spinal cord, brain, peripheral nervous system, autonomic nervous system, muscles and blood vessels that affect individuals in these age groups.
Epilepsy:
Epilepsy is a class of neurological disorders categorized by recurrent epileptic seizures.Epileptic seizures are episodes that can differ from shortened and nearly undetectable periods to long periods of vigorous shaking.These episodes can deelop in physical injuries, including frequently broken bones.In epilepsy, seizures have a tendency to recur and, as a rule, have no immediate proving cause.Isolated seizures that are arouse by a specific cause such as poisoning are not deemed to represent epilepsy.
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Title : Neural nanomedicine: Fighting stroke, improving stem cell delivery, healing nerves and using artificial intelligence
Thomas J Webster, Interstellar Therapeutics, United States
Title : The therapeutic value of the design and development of neurophysics therapy’s psychophysical ‘Grids’ to afford reliable point to point measurements in space/time of the initial conditions of a patients perception, action and cognition and the correction/modulation of sensory perceptual errors in the treatment of chronic pain CRPS and other complex
Ken Ware, NeuroPhysics Therapy Institute and Research Centre, Australia
Title : 3DYNAFS-MBAFUS: A virtual lab of microbubble-amplified focused ultrasound for noninvasive treatments of neurodisorders
Jingsen Ma, Dynaflow, Inc, United States
Title : Human understanding and machine intelligence: A systems neuroscience perspective
Yan M Yufik, Virtual Structures Research, Inc, United States
Title : Treatment of chronic muscle spasm and pain with the CMECD® procedure
Roger H Coletti, Interventional Health, PA, United States
Title : Artificial Intelligence/Machine Learning (AI/ML) models could predict the risks for brain tumors months ahead of diagnosis using routine blood markers
Raj Gopalan, BSRM Consulting, United States