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.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.twenty20photos
20/05/2022
Using machine learning, researchers find patterns in electronic health record data to better identify those likely to have the condition.nenetus
19/05/2022
Preventing medication administration errors and improving efficiency during surgery enhances patient care.04/11/2019
Artificial intelligence holds the promise of salvation when it comes to medicine: it is meant to unburden medical professionals, save time and money and perform tasks reliably and tirelessly. But before AI algorithms are allowed to diagnose diseases, many technical and ethical questions still need answers.02/05/2019
Safety should be a top priority when it comes to safeguarding human lives. That's why hospitals must protect their computer networks and data against unauthorized access. However, thanks to the proliferation of connected devices in hospitals, they are at high risk of suffering devastating cyberattacks. There is also a lack of cybersecurity awareness.02/05/2019
Digitization impacts many areas of life. It is also remapping the healthcare landscape and is becoming increasingly important, ensuring that patients receive comprehensive care as quickly as possible. To make this a reality, data is stored digitally and medical devices are connected.02/05/2019
Digitalization and networking are supposed to serve the health care system well: In times of staff shortages and demographic change, they are able to support the exchange of patient data and the management of chronic diseases as well as to improve the workflow. But it is still often ignored that both individual devices and complete networks can become lucrative targets for cybercrimes.02/01/2019
While they are very useful, health apps have one major drawback: anyone can release and distribute them unchecked. Only some apps require medical device certification. So how can users spot a great, safe and useful app? When it comes to diabetes apps, the “DiaDigital” seal of distinction is the answer.