Research Archive — Page 88 of 139

pregnant belly
September 8, 2020

Fibroids and birth outcomes

Women with three or more uterine fibroids — non-cancerous growths — during pregnancy are more likely to have infants with reduced birthweight and may need additional surveillance.

Illustration of red, spiky virus particles surrounded by numerous white Y-shaped antibodies on a textured surface.
September 7, 2020

Possible key to COVID-19 infectivity

New findings demonstrate how genetic variations in the receptor that binds SARS-CoV-2 impact virus recognition and infectivity and offer insights to COVID-19 susceptibility and treatment.

Older woman touching the area around her eye while another person rests a hand on her shoulder.
September 3, 2020

New clue to Alzheimer’s disease

Combining studies of genetically diverse mouse populations and human data led to the identification of a gene associated with cognitive decline and brain changes in Alzheimer’s disease.

Close-up of analog electricity meters with black needles and numbered dials, labeled “KILOWATT.”
September 3, 2020

Assembling cell power plant machinery

Tina Iverson and colleagues provide a structural view into the assembly of a protein machine essential for cellular energy production.

Close-up stylized graphic displaying the words “COVID-19” and “VIRUS” over a dark digital interface with glowing lines, numbers, and circuit-like patterns.
August 27, 2020

Study to track if COVID can spread during minimally invasive surgery

Physician-scientists at Vanderbilt University Medical Center are investigating whether SARS-CoV-2, the virus that causes COVID-19, can be spread through aerosolized emissions (microscopic droplets and particles) during minimally invasive surgery in children.

Futuristic digital illustration of a human head and shoulders formed from glowing blue and pink pixels, overlaid with a microchip, circuit patterns, binary digits, and waveform graphics.
August 27, 2020

Study uses AI to sort patient messages by complexity

Taking an interest in electronic message threads between surgical patients and their health care teams, a research group at Vanderbilt University Medical Center has tested how well certain commonly used machine learning algorithms can classify such exchanges according to their clinical decision-making complexity.