RSNA: Lung Cancer Screening Predicts Risk of Death from Heart Disease
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A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging.
Lung screening studies show that heavy smokers die from cardiovascular disease as much as from lung cancer. The work offers a direction for future research to precisely pinpoint which calcifications are dangerous. OAK BROOK, Ill. (PRWEB) April 15, 2021 A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging.
Credit: Salk Institute
LA JOLLA (April 15, 2021) The ability to grow the cells of one species within an organism of a different species offers scientists a powerful tool for research and medicine. It s an approach that could advance our understanding of early human development, disease onset and progression and aging; provide innovative platforms for drug evaluation; and address the critical need for transplantable organs. Yet developing such capabilities has been a formidable challenge.
Researchers led by Salk Professor Juan Carlos Izpisua Belmonte have now come one step closer toward this goal by demonstrating a new integration of human cells into animal tissue. Published in the journal
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IMAGE: Projections of all aligned chest CT scans show feasibility of slab-based quantification of calcium, resulting in an average image. For alignment, only translation, rotation, and scaling were allowed, resulting in. view more
Credit: Radiological Society of North America
OAK BROOK, Ill. - A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in
Radiology: Cardiothoracic Imaging.
Cardiovascular disease is the leading cause of mortality worldwide. It even outpaces lung cancer as the leading cause of death in heavy smokers.
Scientists used stem cells to create a hybrid human-monkey embryo
Chinese researchers have successfully created chimeric embryos by combining human stem cells and monkey blastocysts, a groundbreaking advance with both practical and ethical implications for the future of medicine.
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The staggering toll of Covid-19 on health care workers
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As calls mount for the federal government to track Covid-19 deaths among health care workers, an investigation by
The Guardian and
Kaiser Health News has found that more than 3,600 American health care workers died in the first year of the Covid-19 epidemic.
Over 3,600 health care worker deaths in one year
The investigation, called Lost on the Frontline, monitored who among the health care workforce died and why to provide a window into the workings…of the U.S. health system during the Covid-19 pandemic,
KHN reports. The project, which launched April 2020, ends this month after a full year in operation.