A Nature Machine Intelligence study reveals that while AI classifiers can predict COVID-19 from audio recordings, their effectiveness diminishes when accounting for confounding factors, highlighting the challenges in applying AI diagnostics in real-world settings.
A study in Scientific Reports shows intravenous DMT can significantly reduce depression severity in healthy volunteers, highlighting its potential as a therapeutic psychedelic intervention for mental health disorders.
Study reveals that increased thinning of parafoveal ganglion cell-inner plexiform layer (pfGCIPL) and peripapillary retinal nerve fiber layer (pRNFL) correlates with Parkinson's disease progression and cognitive decline.
Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.
Study finds that clinically derived blood pressure variability (BPV), rather than heart rate variability (HRV), is more strongly associated with the risk of Alzheimer’s Disease and Related Dementias (ADRD).