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Language models read doctors' notes to reveal why patients discontinue medication
Researchers at the University of Tartu showed that large language models can identify with high accuracy why patients stop using antidiabetic medications or statins based on doctors' electronic clinical notes. The study opens new possibilities for using clinical information that
Smartphone-based self-screening can identify ocular surface malignancies
Integration of smartphone-based imaging and artificial intelligence (AI)-driven diagnostics provides an effective strategy for screening for rare ocular malignancies, according to a study published online June 4 in JAMA Ophthalmology.
Identifying immune pathways driving aggressive brain cancers
A new study has uncovered a key mechanism that helps one of the deadliest brain cancers evade the immune system, according to the study published in The Journal of Clinical Investigation.
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Can we engineer being on the same wavelength with others? Research offers a cautious 'yes'
We often feel that we are "on the same wavelength" with one another, but can science identify and engineer this phenomenon? Studies by a team of neuroscience researchers suggest that it's possible—a connectivity that is both beneficial and can be enhanced for therapeutic and othe
Hospital AI tool predicts low blood sugar in patients up to 24 hours in advance
Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at risk of low blood sugar up to 24 hours before the condition occurs. The long short-term memory (LSTM) model, described in npj Digital Medicine, could help
Eye-tracking technology helps researchers see IV pump safety through student nurses' eyes
Eye-tracking technology helps researchers see IV pump safety through student nurses' eyes
Researchers at the University of Massachusetts Amherst are using eye-tracking technology to help understand how nurses interact with intravenous smart pumps, providing a new way to identify design flaws in systems associated with more medication errors than any other route of adm
Cryo-EM helps identify the mechanisms of dental plaque formation
Periodontal (gum) disease is one of the most prevalent diseases worldwide, caused by the bacterium Porphyromonas gingivalis (P. gingivalis). In Japan alone, approximately 80% of adults 30 and older are affected or considered at risk.
Brain–computer interface detects hidden awareness in unresponsive patients
A new approach for identifying signs of hidden awareness in people who cannot speak or move after severe brain injury has been demonstrated by researchers at the University of Bath in the U.K.
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AI turns mouse movements into language-like tokens, uncovering autism-related social behav
An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by researchers at KAIST. The team created an AI model that learns behavioral data in a manner similar to natural language and was able to independently identify s
Why 25 minutes may matter in music therapy sessions: Heart-rate synchrony peaks later
New research has discovered the time it takes for a therapist and patient to reach the moment of strongest connection during a therapy session—around 25 minutes. The study, published in the journal Frontiers in Psychology, is the first to identify how long it can take for heart-r
New expert recommendations aim to improve detection and care of lung disease in people wit
A new international expert consensus statement published in The Lancet Respiratory Medicine provides guidance for doctors on how to identify, monitor and treat a serious lung complication that affects many people living with rheumatoid arthritis (RA).
Study explores how anxiety turns into deeper stress for dementia caregivers
Study explores how anxiety turns into deeper stress for dementia caregivers
A new study from Virginia Tech suggests patterns of repetitive negative thinking explain how anxiety develops into deeper stress for caregivers of people living with dementia and that mindfulness training may help identify and interrupt that progression.