Rensselaer algorithm can identify risk of cardiovascular disease using lung cancer scan
Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and improve patient outcomes.
In research published today in Nature Communications, a team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient’s risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer. This approach paves the way for more efficient, more cost-effective, and lower radiation diagnoses, without requiring patients t
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E-Mail (Boston) Chronic Obstructive Pulmonary Disease (COPD) is a disease caused by cigarette smoking that reduces lung function and causes difficulty breathing. It is the third leading cause of death worldwide. Current treatments for COPD only affect symptoms, not progression. Identifying who is going to get COPD before they get it is key to figuring out how to intercept the disease at an early stage.
Researchers from Boston University School of Medicine (BUSM) have identified a panel of genes that are active in smokers and ex-smokers who experience faster loss of lung function over time. They believe these genes could be useful to predict which people are most at risk for smoking-related decline in lung function.
Researchers have identified a genetic pathway that could be activated to help sweep out mucus from the lungs of people with chronic obstructive pulmonary disease.
The discovery came from a series of experiments that began with amoebas single-celled organisms that extend podlike appendages to move around.
“Physician-scientists and fundamental biologists worked together to understand a problem at the root of a major human illness, and the problem, as often happens, relates to the core biology of cells,” says Doug Robinson, professor of cell biology, pharmacology, and molecular sciences, medicine (pulmonary division), oncology, and chemical and biomedical engineering at Johns Hopkins University School of Medicine.
Amoeba Biology Reveals Potential Treatment Target for Lung Disease
Illustration of cilia and surface hydration among normal airway cells and those affected by cigarette smoke.
Newswise In a series of experiments that began with amoebas single-celled organisms that extend podlike appendages to move around Johns Hopkins Medicine scientists say they have identified a genetic pathway that could be activated to help sweep out mucus from the lungs of people with chronic obstructive pulmonary disease a widespread lung ailment.
“Physician-scientists and fundamental biologists worked together to understand a problem at the root of a major human illness, and the problem, as often happens, relates to the core biology of cells,” says Doug Robinson, Ph.D., professor of cell biology, pharmacology and molecular sciences, medicine (pulmonary division), oncology, and chemical and biomedical engineering at the Johns Hopkins University School of Medicine.