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Two studies published today in Blood Advances suggest people with blood type O may have a lower risk of COVID-19 infection and reduced likelihood of severe outcomes, including organ complications, if they do get sick.

Researchers with the U.S. Army Futures Command are part of a team that tested alternative ways to measure COVID-19 antibody levels, resulting in a process that is faster, easier and less expensive to use on a large scale.

A team of researchers from NYU Abu Dhabi (NYUAD), led by Associate Professor of Biology Piergiorgio Percipalle in collaboration with Research Assistant Professor Mohamed Al-Sayegh, recently studied the molecular basis of adipogenesis and discovered that the protein actin (also known as β-actin) has an important role in activating the genes which need to be expressed in order to create fat tissue.

As the search for successful Alzheimer's disease drugs remains elusive, experts believe that identifying biomarkers -- early biological signs of the disease -- could be key to solving the treatment conundrum. Researchers in the Perelman School of Medicine at the University of Pennsylvania will collaborate with 11 research centers to determine more precise diagnostic biomarkers and drug targets for the disease.

Genetic mutations that promote the growth of the most common type of adult brain tumors can be accurately detected and monitored in blood samples using an enhanced form of liquid biopsy developed by researchers at Massachusetts General Hospital (MGH).

Scientists have developed a score that can accurately predict which patients will develop a severe form of COVID-19, enabling clinicians to make more informed decisions when identifying patients who may benefit from therapies, such as steroids, and admission to intensive care units.

Southampton researchers have identified a blood profile that could help identify COVID-19 patients at greatest risk of deterioration and direct them towards trials of specific treatments that could modify their immune systems' responses.

Sequencing RNA from individual cells can reveal a great deal of information about what those cells are doing in the body. MIT researchers have now greatly boosted the amount of information gleaned from each of those cells, by modifying the commonly used Seq-Well technique.

A blood test commonly used to detect fetal genetic abnormalities can be modified to help predict complications associated with pregnancy before any symptoms develop, according to UCLA researchers and colleagues.

Researchers at the University of Minnesota, in collaboration with the U.S. Army Combat Capabilities Development Command Soldier Center, have 3D printed unique fluid channels at the micron scale that could automate production of diagnostics, sensors, and assays used for a variety of medical tests and other applications.