News

Discover how a new library enhances drug exposure records via untargeted metabolomics data, revealing hidden medication impacts.

An analysis of 341 pivotal US drug trials found that only 6% reflected the nation’s racial and ethnic makeup, with Black and Hispanic participation declining since 2021. The findings raise concerns for precision medicine and drug safety.

Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of dementia. Using advanced AI techniques, the model identifies key brainwave patterns and achieves high accuracy in diagnosis.

Using machine learning models, researchers have identified a potential way to diagnose amyotrophic lateral sclerosis earlier from a blood sample.

Updated recommendations to reduce infections in nursing homes call for dedicated infection prevention roles, better staff training, vaccination support and collaboration with hospital.

Researchers developed MUTE-Seq, a CRISPR-based method that enriches ultra-rare tumor DNA in blood by removing background wild-type DNA before sequencing. The approach boosted mutation signals up to sixtyfold.

A study found that impaired kidney function is linked to higher levels of Alzheimer’s blood biomarkers, but not to a higher risk of dementia. However, people with both kidney impairment showed faster dementia onset.

A new study reveals that a rarely diagnosed and frequently drug-resistant species, Aspergillus tubingensis, may be one of the most common causes of fungal infections in Southern California.

Biotech and pharma greenhouse gas emissions are falling – but is current progress fast enough? Discover My Green Lab’s Impact Report.

A new non-invasive glucose monitor utilizes Raman spectroscopy, offering pain-free diabetes management solutions for patients.