Increasing accessibility of remote and home monitoring for patients with pulmonary diseases can help improve treatment and rehabilitation adherence, and support health systems and hospitals in tackling waiting lists. The various advantages of remote monitoring systems will be highlighted in a Medica session focusing on “Preventing chronic diseases with diagnostics and analytics”.
Despite treatment, chronic lung diseases such as COPD or cystic fibrosis can become so severe that a lung transplant is necessary. Dr Urte Sommerwerck explains which patients might be considered for transplantation and why follow-up is as important as the surgery itself.
Routine sampling of water supplies and genomic sequencing of Legionella bacteria could play a key role in identifying the source of Legionnaires’ disease outbreaks, research suggests.
Researchers at Lund University in Sweden and Skåne University Hospital have conducted an animal study bringing hope that more donor lungs could be used in the future.
Antibiotic prescribing in primary care could be monitored using health insurance data. And reduced with a simple test.
Bayer recently announced the launch of Calantic Digital Solutions, a new platform delivering access to digital applications, including artificial intelligence (AI) enabled programs for medical imaging.
An animal study brings hope that more donor lungs could be used in the future. The researchers have launched a pilot study to investigate whether the treatment will have the same positive effects on human beings.
Artificial intelligence (AI) can be used to detect COVID-19 infection in people’s voices by means of a mobile phone app, according to research to be presented at the European Respiratory Society International Congress.
Danish smokers bought less tobacco and more quit smoking during the Covid pandemic, new research finds. This comes as a surprise given that mental health and exercise habits waned during the lockdown.
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
To monitor the lung function of patients with severe respiratory or lung diseases outside of an ICU, researchers have developed a vest that records noises with integrated acoustic sensors.
Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.
As knowledge about Covid-19 advances, so does the arsenal of techniques to predict, diagnose and follow up on the disease. At this year’s ECR, researchers presented a range of promising imaging modalities to keep track of Covid-19 symptoms, severity, and mortality, often including AI support to enhance or accelerate diagnostics.
Dark-field radiography uses a part of X-rays that has hardly been considered so far to expand the spectrum of diagnostic imaging. At the ECR Overture, Theresa Urban presented the new method.
Using functional MRI with inhaled xenon gas, researchers have identified that long COVID symptoms are related to microscopic abnormalities that affect how oxygen is exchanged from the lungs to the red blood cells.
A research group from Kyoto developed two in vitro models to study SARS-CoV-2, and showed that they can be used for drug screening for infectious diseases including Covid-19.
A simple blood test could be a better predictor of whether cancer immunotherapy will be successful for a patient with lung cancer than an invasive tumor biopsy procedure.
A special type of MRI found lung abnormalities in patients who had previously had COVID-19, even those who had not been hospitalized with the illness.
Advances in image post-processing and contrast-enhanced techniques have widened the scope of possibilities for MRI and ultrasound vascular imaging, experts showed in a dedicated course at the ECR Overture.
