Point-of-sale (POS) solutions company Floify announced on Tuesday its launch of Dynamic AI, a new capability that shifts the mortgage application process by moving document collection and AI-driven ...

This important study uses simultaneous EEG and fMRI recordings to shed light on the relationship between alpha and gamma oscillations and specific cortical layers. The sophisticated methodology ...

Imagine being able to extract precise, actionable data from any website, without the frustration of sifting through irrelevant search results or battling restrictive platforms. Traditional web search ...

Claude AI can now create and edit documents and other files. The feature could compromise your sensitive data. Monitor each interaction with the AI for suspicious behavior. Most popular generative AI ...

Abstract: Sleep stage classification, essential for diagnosing sleep disorders, monitoring neurological health, and advancing cognitive neuroscience. Traditionally involves manual scoring of ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

FastUKB is an innovative tool specifically developed to streamline and enhance research workflows utilizing the UK Biobank, effectively addressing key limitations of existing platforms such as the UK ...

we have a special BDF EEG data recorded by Neuracle EEG device , a complete subject eeg data is placed into many subfolders,while the evt.bdf is in the mainfolder. we try use the mne.io.read_raw_bdf ...

1 University Hospital, Mizonokuchi Teikyo University School of Medicine, Kawasaki, Japan. 2 Department of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan. 3 ...

Schizophrenia (SCZ) is a severe mental disorder that impairs brain function and daily life, while its early and objective diagnosis remains a major clinical challenge due to the reliance on subjective ...

A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records.