Tag: Biomarkers
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Machine learning EEG biomarkers that predict sleepy individuals: a Scientific Reports study.
A new study published in Scientific Reports found that a machine learning algorithm predicts a person's level of daytime sleepiness using electroencephalography (EEG) data. The algorithm was 88% accurate in predicting severe sleepiness, potentially leading to the development of non-invasive methods for diagnosing and monitoring sleep disorders like sleep apnea and narcolepsy. Dr. Lara V. Marcuse, the study's lead author, notes that further research is needed to verify these results.
Unveiling the Truth Behind “Cytokine Storm”: Machine Learning Analyzes the Real Cause of COVID-19 Patient Deaths
This team of researchers from Northwestern University Feinberg School of Medicine found that death due to COVID-19 is usually due to secondary pneumonia, not cytokine storm as previously thought. Using machine learning and artificial intelligence, they studied ICU patient-days to make this discovery. Their goal is to create better treatments for severe COVID-19 patients.