Patients with severe respiratory or lung diseases require intensive treatment and their lung function needs to be monitored on a continuous basis. As part of the Pneumo.Vest project, Fraunhofer researchers have developed a technology whereby noises in the lungs are recorded using a textile vest with integrated acoustic sensors.
Innovative medical technology can save lives. Outdated approval processes delay rapid market introduction. To shorten the time from development to certification, the KIMEDS joint project aims to develop an AI-supported safety solution across the entire lifecycle of medical software.
The Austrian Institute for Health Technology Assessment (AIHTA) analyzed how telemedical care programs for people with diabetes can be evaluated and what evidence is available on possible care effects. In addition to the medical benefits, organizational and social care effects should also be considered in the evaluation of telemedical care programs.
A research group from Nagoya University in Japan has developed an artificial intelligence for analyzing cell images that uses machine learning to predict the therapeutic effect of drugs. Called in silico FOCUS, this new technology may aid in the discovery of therapeutic agents for neurodegenerative disorders such as Kennedy disease.
Parkinson’s Disease affects 10 million people worldwide and its symptoms include tremors in the fingers and hands, small handwriting, loss of smell, walking difficulties, dizziness, and others. As these symptoms worsen over time, monitoring and treating PD is crucial to preserve the patients’ autonomy and enhance their quality of life.
Berlin-based "neomento GmbH" is a developer of virtual reality scenarios for the treatment of social phobias – an umbrella term for psychiatric disorders that occur when people meet and interact with each other.
Scientists are applying astronomical techniques to identify moles that may develop into the skin cancer melanoma. Astronomers regularly take images of the sky, producing software to map set targets over time. This technology is now being adapted to monitor the evolution of moles in high-risk patients.
In the new EU project “SafePolyMed" an international research team sets out to provide physicians and pharmacists with innovative tools to increase drug treatment safety and educate patients on how to actively manage their own healthcare.
The Zentrum für Digitale Medizin und Gesundheit (ZDMG) will bring together researchers in medicine, informatics and mathematics. They will collaborate on new healthcare developments based on data science and artificial intelligence and pursue clinical applications.
An artificial intelligence (AI) algorithm trained to listen to patients pass urine is able to identify abnormal flows and could be a useful and cost-effective means of monitoring and managing urology patients at home.
Anyone walking in the city has to adjust their gait again and again to kerbs or steps. Every person develops control strategies for the changes in muscle activity required for this, which protect them from tripping and falling accidents.
A new deep learning (DL) model that can identify disease-related features from images of eyes has been unveiled by a group of Tohoku University researchers. This 'lightweight' DL model can be trained with a small number of images, even ones with a high-degree of noise, and is resource-efficient, meaning it is deployable on mobile devices.
New wearable technology creates new possibilities for assessing the neurological development of young children. Early motor assessment is essential for supporting the early detection of neurodevelopmental problems and their therapeutic interventions.
Previous research has described how virtual training produces acute cognitive and neural benefits. Building on those results, a new study suggests that a similar virtual training can also reduce psychosocial stress and anxiety.
The human microbiome can provide information regarding the risk of non-alcoholic fatty liver disease. This has been discovered by an international team led by the Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute.
A new study from the University of Eastern Finland indicates that the COVID-19 pandemic has seriously affected healthcare service usage among patients with 2 type diabetes in North Karelia, Finland, but essential care was continuously provided. The delivery of many essential services was facilitated by processes that strongly relied on telemedicine already before the pandemic.
A research team led by Prof. ZHAO Fangqing from the Beijing Institute of Life Sciences of the Chinese Academy of Sciences has proposed a new algorithm (NetMoss) for efficient integration of large-scale microbiome data and biomarker identification.
Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.
Acute kidney injury (AKI) is commonly seen in hospitals. It entails the rapid deterioration of kidney function, a high disease burden, and leads in some cases to death. The team at Nephrolytix GmbH, a new spin-off of Charité – Universitätsmedizin Berlin, has developed a process with the potential to reduce the time it takes to detect AKI – currently 48 to 72 hours – by 90 percent.
Effective Opioid Response In the yearlong period ending April 2021, over 100,000 Americans died from drug overdose, the vast majority from synthetic opioids. An estimated 4 million of the 11 million...
Gemino has signed the Charta der Vielfalt, an employer initiative to promote diversity in companies and institutions. Gemino is committed to creating a work environment that is free of prejudice and...
Aurum+ Bariatric Bed The Aurum+ Bariatric Bed meets all the regular criteria of an acute bariatric bed with specially designed engineering features such as innovative stowable safety rails which can...