Advances in neuroimaging techniques have significantly enhanced our understanding of brain structure and function, allowing for more precise diagnoses and better treatment strategies for neurological disorders. Cutting-edge technologies like functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) enable researchers to observe real-time brain activity and neural connectivity. These techniques have opened new avenues for studying cognitive processes, brain plasticity, and the effects of neurological diseases like Alzheimer's, epilepsy, and schizophrenia. Additionally, developments in high-resolution imaging and brain mapping have improved our ability to detect early biomarkers of neurodegenerative diseases, facilitating earlier interventions. The integration of advanced neuroimaging with machine learning algorithms is further improving diagnostic accuracy and personalizing treatment options.
Title : Scalp acupuncture with functional electrical stimulation for the treatment children with autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Perception and individuality in patient cases identifying the ongoing evolution of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
Ken Ware, NeuroPhysics Therapy, Australia
Title : A structure-based strategy to target pathogenic α-synuclein in Parkinson’s disease
Salvador Ventura, Autonomous University of Barcelona, Spain
Title : Rabies: Challenges in taming the beast
Alan C Jackson, University of Calgary, Canada
Title : Designing and managing intelligent and ethical transformed health and social care ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Understanding Alzheimer's disease biomarkers across diverse populations - Opportunities and Insights for novel prevision medicine approaches
Sid O Bryant, Texas College of Osteopathic Medicine and University of North Texas Health Science Center Fort Worth, United States