Current interviews -- MEDICA - World Forum for Medicine

Image: A woman wears a dark blue textile vest with surveillance sensors; Copyright: Fraunhofer

Fraunhofer

High-tech vest monitors lung function

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.
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Image: Two people discuss medical information on a laptop; Copyright: M. Brombach/EKFZ

M. Brombach/EKFZ

Improved certification of medical software with AI

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 Outdated approval processes delay rapid market introduction.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.
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Image: An example of analysis using deep learning. The AI suggested that the red area is idiopathic pulmonary fibrosis and blue area is non-idiopathic pulmonary; Copyright: Tosei General Hospital, Rei

Tosei General Hospital, Reiko Matsushita

AI performs as well as medical specialists in analyzing lung disease

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.
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Image: Illustration showing how an AI-based test method works; Copyright: Ryuji Kato

Ryuji Kato

AI detects whether drugs are effective for neurodegenerative diseases

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.
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Image: Micrograph of drying patterns of peptide solutions; Copyright: Karlsruhe Institute of Technology

Karlsruhe Institute of Technology

Peptide "fingerprint" enables earlier diagnosis of alzheimer’s disease

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.
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Image: surgical team of three people around a cardiac surgeon in an operating room looking at an echocardiogram on a screen; Copyright: westend 61

westend61

Is it a heart attack or something else? How artificial intelligence can support diagnostics

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.
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Image: Female doctor examining pelvis x-ray in hospital ; Copyright: stevanovicigor

stevanovicigor

Robot hip surgeons: trial to test performance against humans

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.
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Image: Doctor shows elderly patient with dementia geometric shape game; Copyright: davidpereiras

davidpereiras

Could a computer diagnose Alzheimer’s disease and dementia?

15/07/2022

Boston University researchers develop an artificial intelligence program that detects cognitive impairment accurately and efficiently from voice recordings.
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Image: A doctor holds a medicine bottle in his hand; Copyright: Pressmaster

Pressmaster

SafePolyMed - Safer drug treatment, enhanced patient empowerment

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.
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Image: A smiling man in a lightish shirt is standing in a computer lab with students – Prof. Daniel Rückert; Copyright: Juli Eberle/TUM

Juli Eberle/TUM

New digital medicine and health center in Munich

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.
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Image: Professor Bergita Ganse at work in her laboratory. ; Copyright: Saarland University

Saarland University

Implants use smart materials to improve bone fracture repair

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.
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Image: Urine sample for analysis in a medical laboratory; Copyright: twenty20photos

twenty20photos

Urology: machine learning goes with the flow

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.
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Image: Cell culture plate in the incubator; Copyright: twenty20photos

twenty20photos

Human-robot-AI teamwork accelerates regenerative medicine

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.
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Image: An app on a smartphone shows how the deep learning tool identifies diseases via the eye; Copyright: Sharma et al.

Sharma et al.

Deep learning model helps automated screening of common eye disorders

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.
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Image: Radiologists look at brain scans ; Copyright: imagesourcecurated

imagesourcecurated

Single brain scan can diagnose Alzheimer’s disease

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.
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Image: Young sick woman talking to a doctor during chemotherapy; Copyright: bialasiewicz

bialasiewicz

AI platform enables doctors to optimize personalized chemotherapy

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.
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Image: A robot arm. Automated Needle Targeting with X-ray; Copyright: Nagoya City University Graduate School of Medical Sciences

Nagoya City University Graduate School of Medical Sciences

Automating renal access in kidney stone surgery using AI-enabled robot

20/06/2022

A novel AI-empowered robotic device successfully underwent clinical trial for assisting in percutaneous nephrolithotomy— surgery for removing kidney stones.
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Image: Chest CT data interpreted by AI; Copyright: American Roentgen Ray Society

American Roentgen Ray Society

AI saves one hour of daily chest CT interpretation time in study

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.
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Image: A computer screen with lines of programming code on it; Copyright: Howell Leung/Leibniz-HKI

Howell Leung/Leibniz-HKI

Liver: The gut microbiome as a health compass

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.
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Image: Blue-and-violet image of a blood clot; Copyright: Empa

Empa

Personalized medicine: Treatment of acute stroke

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.
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Image: Illustration of several binary codes ; Copyright: twenty20photos

twenty20photos

New method for large-scale data integration and biomarker identification

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.
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Image: Drawing of a liver that is connected to a magnifying glass by colorful circles; Copyright: Lili Niu © Novo Nordisk Foundation, Center for Protein Research

Lili Niu © Novo Nordisk Foundation, Center for Protein Research

Early diagnosis of liver diseases by proteomics

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.
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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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Image: A proctologist holds an endoscope in his hand; Copyright: romankosolapov

romankosolapov

Computer-assisted colonoscopy identifies more precancerous polyps

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.
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Image: A detailed virtual model of lung damage ; Copyright: KAUST; Ivan Gromicho

KAUST; Ivan Gromicho

AI helps diagnose post-COVID lung problems

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.
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Image: elderly man holding his chest in pain; Copyright: anontae2522

anontae2522

Speech analysis app predicts worsening heart failure before symptom onset

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.
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Image: Three man in suits pose in front of the camera; Copyright: private

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: Drawn schematic of a work flow in a laboratory; Copyright: Juliet Percival/MPI für Biochemie

Juliet Percival/MPI für Biochemie

New method revolutionizes cancer diagnosis

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.
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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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Image: Close-up of a little baby's hand with pacifier: Copyright: twenty20photos

twenty20photos

Smart pacifier to monitor infant health in the hospital

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.
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Image: A disposable microneedle patch is presented: Copyright: Laboratory for Nanobioelectronics / UC San Diego

Laboratory for Nanobioelectronics / UC San Diego

Multi-tasking wearable continuously monitors glucose, alcohol, and lactate

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.
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