Robotic system developed to treat life-threatening tension pneumothorax remotely

Researchers at the Technical University of Munich (TUM) have developed a medical robotic system to relieve a life-threatening tension pneumothorax in the chest cavity. The researchers are presenting the robotic solution at the automatica robotics trade fair. In the future, it will be capable of telemedical operations during evacuation flights. It was developed as part of the iMEDCAP project.
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Dual-modality cardiac imaging facilitates accurate diagnosis and subtype classification in gland disorder

A novel integrated molecular imaging approach enables precise localization and quantification of heart damage, as well as accurate identification of disease subtypes. The dual PET/MR and PET/CMR technique also provides direct evidence supporting surgery as a cardio-protective intervention in these patients, offering a comprehensive strategy for managing primary aldosteronism.
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Researchers identify protein that may help improve the treatment of obesity and cardiovascular disease

Obesity, diabetes and cardiovascular diseases are increasingly present in the population. Brown adipose tissue has a protective function against these prevalent diseases, as it burns calories and can produce body heat from fat. But as the body ages, the activity of brown adipose tissue decreases. This inactivation of brown adipose tissue—also typical of obese people—remains poorly studied in the scientific literature.
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AI detects hidden heart disease using existing scans stored in patient records

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify individuals with high coronary artery calcium (CAC) levels that place them at a greater risk for cardiovascular events. Their research, published in NEJM AI, showed the tool called AI-CAC had high accuracy and predictive value for future heart attacks and 10-year mortality. Their findings suggest that implementing such a tool widely may help clinicians assess their patients’ cardiovascular risk.
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