CNAIL

Publications & Media

Explore how the Clinical Neuroinformatics & AI Laboratory (CNAIL) is making headlines with breakthroughs in neuroinformatics, AI-driven healthcare innovations, and groundbreaking research on neurological and neurodevelopmental conditions.

Read the story: Dynamical measures of developing neuroelectric fields in emerging consciousness

Dynamical measures of developing neuroelectric fields in emerging consciousness

Read the story: USF Partners with EMOTIV, Quantum Computing Inc. & Purple Point Neurodiagnostics to Advance Brain Health Monitoring

USF Partners with EMOTIV, Quantum Computing Inc. & Purple Point Neurodiagnostics to Advance Brain Health Monitoring

Read the story: A QR Code for the Brain: A dynamical systems framework for computing neurophysiological biomarkers

A QR Code for the Brain: A dynamical systems framework for computing neurophysiological biomarkers

Read the story: EEG markers in early life could help predict and diagnose anxiety

EEG markers in early life could help predict and diagnose anxiety

Read the story: Childhood Anxiety Detection Breakthrough: EEG Analysis Can Detect Risk for Anxiety Disorders in Children by Seven Years Old

Childhood Anxiety Detection Breakthrough: EEG Analysis Can Detect Risk for Anxiety Disorders in Children by Seven Years Old

Read the story: A biomarker discovery framework for childhood anxiety

A biomarker discovery framework for childhood anxiety

Read the story: Seizure-related differences in biosignal 24-h modulation patterns

Seizure-related differences in biosignal 24-h modulation patterns

Read the story: Prediction of Seizure Recurrence. A Note of Caution

Prediction of Seizure Recurrence. A Note of Caution

Read the story: Can a computer diagnose autism?

Can a computer diagnose autism?

Read the story: Predicting autism could be possible through brain wave patterns, study shows

Predicting autism could be possible through brain wave patterns, study shows

Read the story: Test Predicts Autism In Babies As Young As 3 Months

Test Predicts Autism In Babies As Young As 3 Months

Read the story: KRON 4: USF Professor William Bosl on machine learning and autism

KRON 4: USF Professor William Bosl on machine learning and autism

Read the story: University of San Francisco Professor Discovers Breakthrough in Detecting Autism

University of San Francisco Professor Discovers Breakthrough in Detecting Autism

Read the story: USF researchers discover EEG signals in infants can accurately predict autism from 3 months old

USF researchers discover EEG signals in infants can accurately predict autism from 3 months old

Read the story: EEG signals accurately predict autism as early as 3 months of age

EEG signals accurately predict autism as early as 3 months of age

Read the story: EEG successfully predicts autism in infants as young as 3 months

EEG successfully predicts autism in infants as young as 3 months

Read the story: EEG complexity as a biomarker for autism spectrum disorder risk

EEG complexity as a biomarker for autism spectrum disorder risk