According to the Canadian Society for Medical Laboratory Science (CSMLS), “In 2010, the Canadian Institute for Health Information (CIHI) identified that approximately half of all MLTs would be eligible to retire in 10 years, with the greatest impact felt in Canada’s rural and remote communities.” Today, “This staffing concern is currently affecting the professional community across all provinces and territories resulting in the decrease of workers, dramatically impacting organizations and their employees.”
McGill University researchers have made a breakthrough in diagnostic technology, inventing a ‘lab on a chip’ that can be 3D-printed in just 30 minutes. The chip has the potential to make on-the-spot testing widely accessible.
Researchers at the University of California San Diego have developed a neural implant that provides information about activity deep inside the brain while sitting on its surface. The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI) that provides high-resolution data about deep neural activity by using recordings from the brain surface.
Innovative approach integrates genetic data to identify drug targets with high potential for clinical trial success.
A study published in the journal Scientific Reports shows that dark chocolate intake can significantly reduce the risk of essential hypertension. Essential hypertension refers to high blood pressure that is multi-factorial and does not have a distinct cause.
New research introduces CAR-T cells that flourish in tumor environments, greatly advancing cancer immunotherapies.
Newly-defined Cardiovascular-Kidney-Metabolic Syndrome (CKM) means physicians will be in close collaboration with clinical laboratories to make accurate diagnoses
In a recent study published in eBioMedicine, researchers evaluated the relationship between attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) symptomatology and the cord blood lipidome at the age of two years.
Algorithms need to be built and trained on real-world inconsistencies and shared data sets to be generalizable
Electronic Health Record (EHR) developers are looking into ways to incorporate a new type of AI—called “Generative AI”—into their EHR products. However, these new EHRs may interface differently with clinical laboratory information systems.