Biology of Aging:
Aging can be defined as the time-related deterioration of the physiological functions compulsory, for survival and fertility.The characteristics of aging as distinguished from diseases of aging (such as cancer and heart disease) affect all the individuals of a species. Mortality can be used to define biological ageing, which refers to an organism's increased rate of death as it progresses throughout its lifecycle and increases its chronological age.
Neurogenesis:
Neurogenesis is the process by which nervous system cells, the neurons, are produced by neural stem cells (NSCs). It take place in all species of animals except the porifera (sponges) and placozoans. Types of NSCs include neuroepithelial cells (NECs), radial glial cells (RGCs), basal progenitors (BPs), intermediate neuronal precursors (INPs), subventricular zone astrocytes, and subgranular zone radial astrocytes, among others.
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 patient's 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