Background Reports 2019 -- MEDICA - World Forum for Medicine

Image: Two men are talking in front of a laptop; Copyright: LipiTUM

LipiTUM

Same symptom – different cause?

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.
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private

Nephrolytix aims to detect acute kidney injury ten times faster

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.
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Image: A young woman with long covid symptoms holding her forehead ; Copyright: twenty20photos

twenty20photos

Scientists identify characteristics to better define long COVID

20/05/2022

Using machine learning, researchers find patterns in electronic health record data to better identify those likely to have the condition.
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nenetus

Clinical support software improves efficiency and quality of care in the OR

19/05/2022

Preventing medication administration errors and improving efficiency during surgery enhances patient care.
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Image: A physician is standing in front of a floating image of the brain and is touching one point; Copyright: panthermedia.net/Igor Vetushko

Medicine 5.0: machine learning algorithms in healthcare

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.
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Image: View of laptop screen with message that data was encrypted; Copyright: panthermedia.net/Andriy Popov

Security first – hospitals prime targets of cyberattacks

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.
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Image: Hands in front of a computer and tablet; Copyright: panthermedia.net/Andrew Lozovyi

Human firewall – keeping your resources safe

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.
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Image: A male and a female physician look at a tablet together; Copyright: panthermedia.net/Wavebreakmedia Ltd.

Cybersecurity in the hospital: securely networked

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.
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Image: Glucometer next to a smartphone that shows the blood glucose level; Copyright: panthermedia.net/simpson33

DiaDigital: making sense of diabetes apps

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.
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