It's no secret that there is a mental health crisis in the United States. As of 2021, 8.3% of adults had major depressive disorder (MDD) and 19.1% had anxiety disorders (AD), and the COVID-19 pandemic ...

Abstract: Autism Spectrum Disorder (ASD ... has emerged as a non-invasive tool to capture brain activity and facilitate the early detection of ASD using machine learning techniques. However, attaining ...

BAGUIO CITY (PIA) – Early detection of autism in children is crucial in the delivery of timely and effective medical, behavioral, educational and social services. Early intervention affords the best ...

The algorithm analyzed motion in REM sleep and used five movement features to detect REM sleep behavior ... An automated machine-learning method that analyzed sleep movements recorded with a ...

Jan 14 (Reuters) - Autism spectrum disorder is a neurological and developmental condition marked by disruptions in brain-signaling that cause people to behave, communicate, interact, and learn in ...

Australia's first-ever national autism strategy aims to create "a safe ... If we miss the opportunity for their learning and support in those 13 years, then why are we even discussing their ...

powered by machine learning, that shows promise in detecting multiple types of cancer in their earliest stages, when the disease is hardest to detect. Named TriOx, this innovative test analyzes ...

Summary: Researchers have identified a unique stem cell in the young brain capable of maturing into multiple cell types, potentially explaining the origins of autism and glioblastoma ... in humans are ...

Research published in the International Journal of Information and Communication Technology suggests that machine learning tools might be used to detect and so combat financial fraud. According to ...

Summary: Layer 5 pyramidal neurons, crucial for brain information processing, vary significantly in their synaptic protein composition based on neuron type. Research shows that intratelencephalic (IT) ...