Fraunhofer
09/08/2022
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.M. Brombach/EKFZ
08/08/2022
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 Outdated approval processes delay rapid market introduction.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.Tosei General Hospital, Reiko Matsushita
05/08/2022
A Nagoya University research group has developed an AI algorithm that accurately and quickly diagnoses idiopathic pulmonary fibrosis, a lung disease. The algorithm makes its diagnosis based only on information from non-invasive examinations, including lung images and medical information collected during daily medical care.Ryuji Kato
01/08/2022
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.Karlsruhe Institute of Technology
28/07/2022
Neurodegenerative diseases like Alzheimer’s disease or Parkinson’s disease are caused by folding errors (misfolding) in proteins or peptides, i.e. by changes in their spatial structure.westend61
22/07/2022
Chest pain, shortness of breath, a brief loss of consciousness – warning signs that suggest a heart attack. But it might also be Takotsubo syndrome, also known as stress cardiomyopathy or broken heart syndrome with symptoms that resemble a heart attack. Yet it is of utmost importance to differentiate between the two conditions to initiate the right treatment.stevanovicigor
18/07/2022
Robots will have their surgical skills put to the test as researchers trial their use in hip replacement surgery for the first time.davidpereiras
15/07/2022
Boston University researchers develop an artificial intelligence program that detects cognitive impairment accurately and efficiently from voice recordings.Pressmaster
14/07/2022
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.Juli Eberle/TUM
12/07/2022
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.Saarland University
12/07/2022
For patients with a broken shin bone, a new generation of smart orthopaedic implants is being developed that can not only monitor healing progression at the bone fracture site, but can use controlled micromotions to actively stimulate the repair process.twenty20photos
07/07/2022
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.twenty20photos
06/07/2022
A joint research group led by Genki Kanda at the RIKEN Center for Biosystems Dynamics Research (BDR) has developed a robotic artificial intelligence (AI) system for autonomously determining the optimal conditions for growing replacement retina layers necessary for vision.Sharma et al.
30/06/2022
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.imagesourcecurated
22/06/2022
A single MRI scan of the brain could be enough to diagnose Alzheimer’s disease, according to new research by Imperial College London.bialasiewicz
21/06/2022
Based on a pilot clinical trial, close to 97% of dose recommendations by CURATE.AI were accepted by clinicians; some patients were prescribed optimal doses that were around 20% lower on average.Nagoya City University Graduate School of Medical Sciences
20/06/2022
A novel AI-empowered robotic device successfully underwent clinical trial for assisting in percutaneous nephrolithotomy— surgery for removing kidney stones.American Roentgen Ray Society
17/06/2022
Cardiothoracic radiologists exhibited a 22.1% reduction in chest CT interpretations times when having access to results from an automated AI support platform during real-world clinical practice.Howell Leung/Leibniz-HKI
15/06/2022
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.Empa
14/06/2022
A blood clot in the brain that blocks the supply of oxygen can cause an acute stroke. In this case, every minute counts. A team from Empa, the University Hospital in Geneva and the Hirslanden Clinic is currently developing a diagnostic procedure that can be used to start a tailored therapy in a timely manner, as they write in Scientific Reports.twenty20photos
09/06/2022
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.Lili Niu © Novo Nordisk Foundation, Center for Protein Research
06/06/2022
Two or three drinks every day could put your liver in danger. Using proteomics and machine learning, researchers now present a revolutionary tool to predict whether an individual has alcohol-related liver disease and if an individual patient is at risk of disease progression.LipiTUM
01/06/2022
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.romankosolapov
30/05/2022
Colonoscopies performed with computer-aided detection, or artificial intelligence, (AI) saw an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27 percent in average-risk patients.KAUST; Ivan Gromicho
27/05/2022
A new computer-aided diagnostic tool developed by KAUST scientists could help overcome some of the challenges of monitoring lung health following viral infection.anontae2522
25/05/2022
A voice analysis app used by heart failure patients at home recognises fluid in the lungs three weeks before an unplanned hospitalisation or escalation in outpatient drug treatment.private
25/05/2022
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.Juliet Percival/MPI für Biochemie
24/05/2022
A German-Danish team led by Prof. Matthias Mann has developed a ground-breaking technology called 'Deep Visual Proteomics'. This method provides researchers and clinicians with a protein read-out to understand cancer at single cell-type resolution. The technology was published in the journal Nature Biotechnology and demonstrates its potential in a first application to cancer cells.twenty20photos
20/05/2022
Using machine learning, researchers find patterns in electronic health record data to better identify those likely to have the condition.twenty20photos
18/05/2022
A wireless, bioelectronic pacifier could eliminate the need for invasive, twice-daily blood draws to monitor babies’ electrolytes in Newborn Intensive Care Units or NICUs.Laboratory for Nanobioelectronics / UC San Diego
16/05/2022
Imagine being able to measure your blood sugar levels, know if you’ve had too much to drink, and track your muscle fatigue during a workout, all in one small device worn on your skin. Engineers at the University of California San Diego have developed a prototype of such a wearable that can continuously monitor several health stats—glucose, alcohol, and lactate levels—simultaneously in real-time.