Coronavirus: Model can predict the evolution of new variants
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AImage: A group of six medical professionals stand smiling in front of a modern building, surrounded by snow; Copyright: Alessandro Winkler/Universitätsklinikum Bonn

Alessandro Winkler/Universitätsklinikum Bonn

New diagnostic software improves analysis of kidney diseases

23.04.2024

Researchers at the University Hospital Bonn, in collaboration with the University of Bonn, have developed a computer method to determine whether protein excretion in urine is caused by a few severely damaged or many slightly damaged kidney filters. The innovative findings were published in the journal Kidney International.
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AI recognizing heart failure through voice analysis

21.03.2024

In the future, artificial intelligence will monitor patients with advanced heart failure telemedically by the sound of their voice. This will make it possible to detect and treat deterioration at an early stage. The Berlin start-up Noah Labs UG has developed the AI required for this.
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Image: A smart bracelet worn on a person’s arm; Copyright: Kaunas University of Technology (KTU)

Kaunas University of Technology (KTU)

Monitoring Atrial Fibrillation with smart bracelet

30.01.2024

Atrial fibrillation, the most prevalent heart rhythm disorder impacting 33 million people worldwide, can have serious consequences if left untreated. To address this pressing issue, researchers have unveiled a technology aimed at identifying and managing individual factors contributing to atrial fibrillation.
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Image: Close-up: A doctor looks at a brain scan; Copyright: XiXinXing

XiXinXing

Evaluating brain tumours with artificial intelligence

22.12.2023

One application area of artificial intelligence (AI) is in medicine, especially in medical diagnostics. For instance, scans can be analysed automatically with the help of algorithms. An international and interdisciplinary team led by researchers from TU Darmstadt recently investigated whether AI can better evaluate images of brain tumours.
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Image: Representation of an experimental hybrid OR at Fraunhofer IPA in Mannheim; Copyright: Fraunhofer IPA

Fraunhofer IPA

DAIOR research project: Distributed AI improves telesurgery

14.12.2023

In the DAIOR research project, doctors and technicians are working on the evaluation of surgical data from multimodal sources using artificial intelligence (AI). One of the project goals is to support robot-assisted telesurgery in real time.
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Image: Two women sitting next to each other looking at a tablet projecting a health record; Copyright: YuriArcursPeopleimages

YuriArcursPeopleimages

Artificial intelligence: Will an algorithm soon be writing doctors' letters?

11.12.2023

Researchers at the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS are currently developing a "doctor's letter generator" that could soon produce documents in the shortest possible time. With 150 million doctors' letters being written in Germany every year, this would save hospitals and medical practices an enormous amount of time.
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Image: Man with black hair and dark glasses in front of a green background, Prof. Dr. Aldo Faisal; Copyright: Universität Bayreuth

Universität Bayreuth

Kulmbach Live-in Lab: holistic research on digital health

07.12.2023

The possibilities for researching human behaviour with the help of artificial intelligence are being taken to the next level in Kulmbach: The Live-in Lab there is Europe's leading laboratory for digital, AI-supported research into human behaviour in everyday life. It has now been opened.
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Image: 3D simulation of an active material in a geometric shape resembling a dividing cell; Copyright: Singh et al. Physics of Fluids (2023) / MPI-CBG

Singh et al. Physics of Fluids (2023) / MPI-CBG

New computer code for mechanics of tissues and cells in three dimensions

28.11.2023

Open-source supercomputer algorithm predicts patterning and dynamics of living materials and enables studying their behavior in space and time.
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Image: A woman in a green jacket with brown hair sits in front of a screen and smiles into the camera; Copyright: University of the Basque Country

University of the Basque Country

Models that predict poor clinical outcome in COVID-19 patients

24.11.2023

Factors associated with hospital admissions, ICU stays and mortality in patients who have had SARS-CoV-2 are identified, and clinical prediction rules are developed.
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Image: Portrait photo of Stefanie Brückner. A woman with brown hair in a striped shirt; Copyright: Anja Stübner, EKFZ für Digitale Gesundheit

Anja Stübner, EKFZ für Digitale Gesundheit

Informed consent to the use of personal health data

22.11.2023

Millions of people worldwide use health and wellness applications to record health-related parameters such as symptoms, step count or heart rate in their everyday lives. This citizen-generated health data provides previously unknown information about a person's experience of illness and health.
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Two men in suits in an exhibition hall at MEDICA, one interviewing the other; copyright: beta-web | Messe Düsseldorf

Breath the spirit of MEDICA 2023 – Highlight tour with Director Christian Grosser

13.11.2023

Topics like artificial Intelligence, automation and robotics, and sustainability are shaking the medical industry – and both MEDICA and COMPAMED reflect that. We are walking through the trade show halls of MEDICA with Christian Grosser, Director Health & Medical Technologies at Messe Düsseldorf, to talk about this: What are his impressions of this year’s MEDICA and COMPAMED?
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Image: Close-up of a vaccination on a woman's arm; Copyright: gpointstudio

gpointstudio

Coronavirus: Model can predict the evolution of new variants

31.10.2023

An international research team from the University of Cologne and the Icahn School of Medicine, Mount Sinai (New York) has developed a model that predicts the likely evolution of variants of the SARS-CoV-2 virus.
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Image: Icons of networks and contacts between people and groups on yellow and orange surfaces; Copyright: wirestock

wirestock

Collective intelligence can reduce medical misdiagnoses

30.10.2023

Researchers from the Max Planck Institute for Human Development, the Institute for Cognitive Sciences and Technologies (ISTC), and the Norwegian University of Science and Technology developed a collective intelligence approach to increase the accuracy of medical diagnoses.
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Image: A man in a suit, Prof. Dr. Wolfgang Ahrens, posing in a bright hallway; Copyright: BIPS

BIPS

White paper: improving record linkage for health research

16.10.2023

In Germany, it is currently difficult to link health data from different sources. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is now presenting a white paper on this topic.
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Image: Female doctor searches patient information from the medical records system using a computer; Copyright: Yulia_Panova

Yulia_Panova

ScPoli enables multi-scale representations of cells and samples

12.10.2023

Computer scientists at Helmholtz Munich developed a generative model named ScPoli that performs data integration of high-quality large-scale datasets of single cells.
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paegagz

Algorithm to predict disease relapses

29.09.2023

A University of Texas at Arlington research team has received a $450,000 grant from the National Institute of General Medical Sciences to use statistical machine learning to review patient data and better predict which patients will need additional treatments.
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Image: Dartmouth computer science professor Temiloluwa Prioleau holds a type of wearable glucose monitor that provided data for the study; Copyright: Photo courtesy of Temiloluwa Prioleau

Photo courtesy of Temiloluwa Prioleau

Wearable devices show who may need more help managing diabetes

29.09.2023

A new Dartmouth study in the journal Science Advances suggests that how well people with diabetes manage their blood sugar depends on their experience with the condition and their overall success in controlling their glucose levels, as well as on the season and time of day.
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Image: Professor Dr. Anna-Maria Dittrich and Dr. Matthias Gietzelt (with tablet) stands in a building passage and smiles for the camera; Copyright: Karin Kaiser / MHH

Karin Kaiser / MHH

CALM-QE: Personalized diagnostics in asthma and COPD

27.09.2023

The MHH Children's Hospital is participating in a nationwide project to better predict individual disease courses in non-infectious lung diseases using standardised data from health care and environmental data.
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davidpradoperucha

Cure Xchange Challenge: initiative to incubate innovations by healthcare start-ups

26.09.2023

Cure, a healthcare innovation campus in New York City, has opened applications for its Cure Xchange Challenge, a bold initiative to incubate innovations by healthcare start-ups and entrepreneurs across disciplines and sectors to responsibly and equitably use artificial intelligence (AI) in health.
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Image: Portrait photo of a man (Steef Kurstjens) with red-brown hair in a white doctor's coat; Copyright: European Society for Emergency Medicine

European Society for Emergency Medicine

ChatGPT suggests most likely diagnoses in the emergency medicine department

25.09.2023

The artificial intelligence chatbot ChatGPT performed as well as a trained doctor in suggesting likely diagnoses for patients being assessed in emergency medicine departments.
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Image: A person sits in front of a laptop, a graphic representation of a head in cross-section as an AI is displayed above the laptop; Copyright: AndersonPiza

AndersonPiza

Danger from chatbots: Do they need regulation as a medical device?

12.09.2023

Chatbots like ChatGPT have great potential for medicine. But their unregulated use in healthcare poses a great danger because of their inherent risks. A Nature Medicine article by Prof. Stephen Gilbert et al. calls for medical device approval for chatbots and applications based on them.
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Image: The drawing of a liver on a white background; Copyright: Dt. Leberstiftung

Dt. Leberstiftung

Predicting severe liver disease with simple tools

08.09.2023

A European consortium with the participation of the MHH is developing a new tool to determine the individual risk of liver fibrosis and liver cancer.
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Image: X-ray image of a lung; Copyright: Shaiith

Shaiith

AI shows how Aspergillus fumigatus gets comfortable in the lungs

14.08.2023

Aspergillus fumigatus strains that infect humans have a significantly altered metabolism compared to other strains in the environment. At the same time, infection with the fungus leads to an apparent change in the human lung microbiome.
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Image: A mammogram image of a breast on a screen; Copyright: ORION_production

ORION_production

AI-supported mammography screening is found to be safe

11.08.2023

Mammography screening supported by artificial intelligence (AI) is a safe alternative to today’s conventional double reading by radiologists and can reduce heavy workloads for doctors.
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Image: Diagram of a color coordinate representation of the heart chambers; Copyright: Dr. Axel Loewe, KIT

Dr. Axel Loewe, KIT

Machine learning: artificial neural networks localize extrasystoles

03.08.2023

Researchers at Karlsruhe Institute of Technology (KIT) use machine learning for the non-invasive localization of ventricular extrasystoles. This may facilitate and improve future diagnosis and therapy.
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Image: A stethoscope against a background of lined up ones and zeros, colored blue-purple; Copyright: istock.com/viorika

istock.com/viorika

AI brings hope for children with lyosomal storage disease

20.07.2023

Artificial intelligence is becoming increasingly important in drug discovery. Advances in the use of Big Data, learning algorithms and powerful computers have now enabled researchers at the University of Zurich (UZH) to better understand a serious metabolic disease.
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Image: an intern shows an senior physician something on a tablet. The two stand on a glass gallery in a hospital; Copyright: monkeybusiness

monkeybusiness

Into the hospital of the future: data, digitization and artificial intelligence

18.07.2023

Artificial intelligence (AI) and its use is on everyone's lips right now. How AI will change and shape our future is being hotly debated. AI applications are also trending in healthcare. But before they can deliver on their huge expectations, the basics have to be met.
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Image: Man in a dark blue jacket and shirt, Prof. Jakob N. Kather, stands in a corridor and smiles at the camera; Copyright: EKFZ

EKFZ

AI against bowel cancer: research project DECADE

12.07.2023

The DECADE research project is the first to use swarm learning in cancer research. The German Cancer Aid is funding the joint project of several university hospitals with around 1.5 million euros.
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Image: Transparent image layering: A patient and her electronic patient file with key medical data; Copyright: Fraunhofer IGD

Fraunhofer IGD

Digital patient model: decision support for physicians and cost-saver

10.07.2023

New perspectives for the healthcare sector: The support system for decision-making developed as part of the MED²ICIN project should increase the treatment success rate. It supports physicians in their decision-making process by pooling all of the information on an individual patient and comparing this to that of cohorts made up of similar individuals.
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Image: Prof. Stephen Gilbert, blond man in dark blue shirt, poses for the camera; Copyright: EKFZ/ A. Stübner

EKFZ/ A. Stübner

Chatbots like ChatGPT: approval as medical devices

06.07.2023

The new Nature Medicine paper by Prof. Stephen Gilbert, et. al. addresses one of the most pressing international issues of our time: How to regulate Large Language Models (LLMs) in general and specifically in health.
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Image: A puzzle-like model of a lung made of building blocks on a red background; Copyright: yavdat

yavdat

AI enables first integrated single-cell atlas of the lung

15.06.2023

Can a human organ be mapped on a single-cell level to learn more about each individual cell? And can we learn how different these cells are from person to person? Helmholtz Munich researchers and their collaborators have taken up this challenge and developed the Human Lung Cell Atlas using artificial intelligence (AI)-based techniques.
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Image: Humboldt-Prof. Dr. Jens Meiler and Dr. Clara T. Schoeder analyse protein structures in front of a big screen; Copyright: Swen Reichhold

Swen Reichhold

Infectious diseases: digital 'vaccine library' against pandemics

12.06.2023

The Institute for Drug Discovery led by Humboldt Professor Jens Meiler is to receive 1.9 million dollars (1.77 million euros) for the development of vaccines. The international Coalition for Epidemic Preparedness Innovations (CEPI) will fund computer-aided vaccine development at Leipzig University with the aim of building a digital ‘vaccine library’ of components and virtual antigen designs.
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Image: Dr. Matthias Gietzelt (left) and Professor Bavendiek in a cardiology examination room; Copyright: Karin Kaiser / MHH

Karin Kaiser / MHH

Cardiovascular diseases: individual risk assessment with ACRIBiS

08.06.2023

MHH Cardiology participates in a nationwide project to improve risk assessment thanks to structured and standardized data.
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Image: Elderly woman at home with heart pain holding her chest; Copyright: tommyandone

tommyandone

Heart failure: AI identifies five subtypes

01.06.2023

Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study led by UCL (University College London) researchers.
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Image: A computer that evaluates stool samples using bioinformatic methods; Copyright: Anna Schroll/Leibniz-HKI

Anna Schroll/Leibniz-HKI

Model shows intestinal bacteria influence growth of fungi

22.05.2023

The bacteria present in the intestine provide information about the quantities of fungi of the potentially disease-causing Candida genus.
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Image: A man in a gray jacket and white shirt, Miroslaw Bober, smiles at the camera; Copyright: University of Surrey

University of Surrey

UK AI world leader in identifying location and expression of proteins

18.05.2023

A new advanced artificial intelligence (AI) system has shown world-leading accuracy and speed in identifying protein patterns within individual cells.
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Image: The experts Luis Miguel Echeverry and Neus Martínez-Abadías at the Faculty of Biology of the UB; Copyright: Universidad de Barcelona

Universidad de Barcelona

Rare disease diagnosis: AI algorithms do not include human diversity

17.05.2023

Most of the AI-generated algorithms have databases with populations of European origins and they ignore the genetic and morphological diversity of human populations of around the world.
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Image: Bunte Fotokollage in Hexagonform mit Beispielbildern von einer Entnahme von Biosignalen; Copyright: Fraunhofer IDMT

Fraunhofer IDMT

EEG as an example of data protection for biosignals

16.05.2023

The “NEMO” project is exploring anonymisation techniques, using the example of electroencephalograms (EEG).
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Image: Close-up of doctor pointing at human pelvic skeleton model in medical clinic.; Copyright: Okrasyuk

Okrasyuk

Map of spinal cord formation gives new knowledge on diseases of the nervous system

03.05.2023

Researchers at Karolinska Institutet in Sweden have mapped how cells in the human spinal cord are formed in the embryo and what genes control the process.
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Image: Senior Woman tests blood for glucose or sugar level for diabetes with glucometer; Copyright: Manuta

Manuta

Big Data: predictive model for complications in diabetes

01.05.2023

For their research, the team led by Rainer Oberbauer, Head of the Division of Nephrology and Dialysis at MedUni Vienna's Department of Medicine III, and Mariella Gregorich from MedUni Vienna's Center for Medical Data Science drew on data from major international studies.
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Image: Screenshot from the DeMAG webserver. DeMAG predicts benign mutations in light blue and pathogenic ones in coral; Copyright: Agnes Toth-Petroczy, Nature Communications

Agnes Toth-Petroczy, Nature Communications

New tool facilitates clinical interpretation of genetic information

27.04.2023

Max Planck and Harvard research teams develop DeMAG, a new method shared as an open-source web server (demag.org) to help interpret mutations in disease genes and improve clinical decision-making.
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Image: Several reaction vessels with tissue samples; Copyright: DZHK

DZHK

Collaborative and sustainable - the DZHK's clinical research platform

26.04.2023

At the German Center for Cardiovascular Research (DZHK), clinical study data and samples belong not to individual clinics but to a superordinate structure - the DZHK. The basis for this is the collaborative clinical research platform launched ten years ago, which makes data and samples from all DZHK studies uniformly recordable.
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Image: Smiling female doctor in a practice, using a tablet; Copyright: westend61

westend61

Platform for the rapid development of digital health applications

03.04.2023

Fraunhofer FIT presents a toolbox for the rapid development of digital health applications. It can help to respond to urgent needs in the healthcare market. The platform integrates applications, methods and solutions from several national and European research projects.
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Image: A man in a blue shirt, Professor Dr Alexander Schönhuth, standing next to a wall and smiles at the camera; Copyright: Bielefeld University/Sarah Jonek

Bielefeld University/Sarah Jonek

Predicting outbreak of ALS disease with AI methods

08.03.2023

Using artificial intelligence (AI) methods, researchers led by Professor Dr Alexander Schönhuth from Bielefeld University’s Faculty of Technology have succeeded in recording and deciphering the genotype profiles of 3,000 ALS patients and thus learning more about the development of the disease.
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Image: Young female scientist in protective mask and glasses examining chemical or biological sample with microscope in laboratory; Copyright: Pressmaster

Pressmaster

AI analyses cell movement under the microscope

22.02.2023

The enormous amount of data obtained by filming biological processes using a microscope has previously been an obstacle for analyses.
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Image: A man in a blue coat, Araz Rawshani, poses for the camera.; Copyright: University of Gothenburg

University of Gothenburg

AI supports doctors’ hard decisions on cardiac arrest

21.02.2023

Researchers at the University of Gothenburg have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors’ work.
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