The seven-year grant renews funding for the Antibacterial Resistance Leadership Group, led by Duke University and UCSF, with $15 million in 2020.
A JAMA study found that low-value diagnostic tests are common in inpatient settings, and machine learning systems can be used to identify those tests and reduce their overutilization.
A recent study from UCSF suggests Abbott's blood-based i-Stat Alinity device may be able to identify TBI that isn't found by a CT scan.
OncoCyte provided additional details about the history of the Razor test, its timeline for making it commercially available, and plans for a follow-on study.
The UCSF spinout aims to develop noninvasive tests to detect kidney injury for the transplantation field and to diagnose and monitor chronic disease.
The team is now conducting additional studies of mNGS in plasma, as well as looking to reduce turnaround time by running the test on a nanopore sequencer.
A pair of new studies evaluated the effectiveness of cytologic and HPV-based testing approaches at varied screening intervals for identifying women at risk of cervical cancer.
Clinicians need to understand higher-sensitivity troponin assays will detect longer-term cardiac injury as well as acute conditions, experts say.
Testing with Cepheid's molecular TB assay can shorten the amount of time suspected patients need to be isolated and save thousands of dollars per patient.
The researchers detected an average of 56 possible environmental organic acids present in each subject and confirmed the presence of six of them.