The laboratory 4.0: networked analyses -- MEDICA - World Forum for Medicine

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Artificial intelligence helps cut down on MRI no-shows

17/09/2020

According to ARRS' American Journal of Roentgenology (AJR), artificial intelligence (AI) predictive analytics performed moderately well in solving complex multifactorial operational problems - outpatient MRI appointment no-shows, especially - using a modest amount of data and basic feature engineering.
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Powerful push for AI for cancer immunotherapy

15/09/2020

Case Western Reserve University works with NYU and pharmaceutical companies Bristol Myers Squibb, AstraZeneca to validate imaging-based solutions for predicting response to therapy for lung cancer patients.
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Using machine learning to combat the Coronavirus

14/09/2020

Research project developed by TU Berlin and the University of Luxembourg receives funding of 125,000 US dollars from Google.org.
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Electronic skin can react to pain like human skin

02/09/2020

Researchers have developed electronic artificial skin that reacts to pain just like real skin, opening the way to better prosthetics, smarter robotics and non-invasive alternatives to skin grafts. The prototype device developed by a team at RMIT University in Melbourne, Australia, can electronically replicate the way human skin senses pain.
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The smart networking laboratory: when connected devices become one system

01/09/2020

Diagnostics, biomedical research, screening active ingredient candidates - laboratories perform many functions and must be flexible. Growing and evolving healthcare demands mean labs have to process an increasing number of samples. Modern laboratory information management systems can already support high-throughput, but a smart laboratory environment can make things even more efficient.
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SmartLab: all-in-one automation, digitalization, and miniaturization

01/09/2020

Laboratories have to analyze and interpret an ever-increasing number of samples for research and diagnostic services, generating lots of data in the process. At the same time, labs are required to produce quality results and operate with speed. Processes that could once be managed using laboratory notebooks and isolated systems must become smart in the future to improve lab efficiency.
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The laboratory 4.0: networked analyses

01.09.2020

There is likely no other branch of medicine where you can find as many high-tech devices as in modern laboratories. A major part of diagnostic and biomedical research is done here. A lot of individual steps in work processes need to be followed precisely to ensure the results’ quality. Also, a lot of data is generated here.
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AI offers new clues to a 500-year old mystery about the heart

25/08/2020

Researchers have investigated the function of a complex mesh of muscle fibers that line the inner surface of the heart. The study, published in Nature, sheds light on questions asked by Leonardo da Vinci 500 years ago, and shows how the shape of these muscles impacts heart performance and heart failure.
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Israeli medical devices showcase digital innovations at MEDICA

24/08/2020

For the annual MEDICA trade fair, companies from all over the world assemble in Düsseldorf. The Israel Export Institute has been a part of it for the last couple of years. They present medical devices and digital innovations from different Israeli companies at their joint booth.
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Stroke therapy of the future: Stimulating entire networks

19/08/2020

The Neurological University Hospital in Tübingen is a world leader in research on TMS (Transcranial Magnetic Stimulation). In this report you will learn how the stroke therapy, which is always complemented by physiotherapeutic treatment, is being developed from a punctual to an entire network treatment in the brain.
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Image: MRI brain scan; Copyright: Shinsuke Koike, CC-BY

Mental healthcare: diagnosis via brain scan and computer algorithm

17/08/2020

Yet, there is currently no blood or genetic test, or impartial procedure that can definitively diagnose a mental illness, and certainly none to distinguish between different psychiatric disorders with similar symptoms. Experts are combining machine learning with brain imaging tools to redefine the standard for diagnosing mental illnesses.
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Detecting the location of coughing sounds with deep learning

14/08/2020

The Center for Noise and Vibration Control at KAIST announced that their coughing detection camera recognizes where coughing happens, visualizing the locations. The resulting cough recognition camera can track and record information about the person who coughed, their location, and the number of coughs on a real-time basis.
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Machine learning tool predicts intestinal disease in premature infants

11/08/2020

Researchers from Columbia Engineering and the University of Pittsburgh have developed a sensitive and specific early warning system for predicting NEC in premature infants before the disease occurs. The prototype predicts NEC accurately and early, using stool microbiome features combined with clinical and demographic information.
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Image: Application of AR sonography; Copyright: Fraunhofer IGD

Augmented reality ultrasound: putting the focus on patients

10/08/2020

This is how a conventional ultrasound scan works: patients lie down on a table next to the ultrasound machine. A doctor uses a probe to scan the part of the body in question, while he or she looks at the pictures on a monitor. In other words, the physician either focuses on his/her hand on the patient or the monitor. The Fraunhofer IGD wants to change this process as part of the "sonAR" project.
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Training algorithms to identify COVID-19 in CT scans

07/08/2020

As COVID-19 cases in the United States continue to surge, there is an ongoing search for quick and reliable testing. Though there are conflicting opinions on using chest computerized tomography (CT) scans as a method of screening in the United States, the technology has been successfully used to identify the disease in other parts of the world.
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Big Data: early warning system for the ICU

03/08/2020

Patient monitoring systems in the ICU sound up to 700 alarms on average per patient per day, which boils down to one alarm every two minutes. An excessive number of them are false alarms. This generates vast amounts of data, which can make it difficult for doctors and nurses to identify the most critical alarms to manage. It also has a negative effect on the treatment of intensive care patients.
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Image: Schema of novel cancer tissue diagnosis in comparison with usual diagnosis; Copyright: Osaka University

Tissue imaging system accelerates cancer diagnosis

27/07/2020

Cancer diagnosis requires a lengthy process of multiple analyses of tissue biopsies, impeding the quick and early detection of cancers. In a new study, researchers from Osaka University developed a novel imaging system that uses near-infrared light to be less invasive and more time efficient than the conventional approach.
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Electrical stimulation to restore vision

16/07/2020

In a project under Horizon 2020, researchers from seven European organizations will examine how the vision of visually impaired people can be restored using electrical stimulation of the brain. The project is being coordinated by the University of Zurich and supported by the European Union.
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Machine learning helps grow artificial organs

08/07/2020

Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish. Unlike humans, the algorithm achieves this without the need to modify cells, making the method suitable for growing retinal tissue for developing cell replacement therapies to treat blindness and conducting research into new drugs.
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Image: medical illustration of Clostridioides difficile bacteria; Copyright: CDC

Software to find drug-resistant bacteria

07/07/2020

Washington State University researchers have developed an easy-to-use software program to identify drug-resistant genes in bacteria. The program could make it easier to identify the deadly antimicrobial resistant bacteria that exist in the environment. Such microbes annually cause more than 2.8 million difficult-to-treat pneumonia, bloodstream and other infections and 35,000 deaths in the U.S.
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App to recognize sleep apnea

07/07/2020

Sleep apnea is a very common sleep disorder characterized by breathing pauses and periodic snoring. According to some studies, as much as ten percent of the population suffer from it, but up to nine out of ten cases remain undiagnosed because symptoms are sometimes mild and there are a lack of resources in diagnostics.
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EHR: information recorded over time tells more about diseases

24/06/2020

Electronic health records (EHRs) contain important information about patients' health outlook and the care they receive, but the records are not always precise. A new study describes an approach that uses machine learning, a type of artificial intelligence, to carefully track patients' medical records over time in EHRs to predict their likelihood of having or developing different diseases.
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MEDICA MEDICINE + SPORTS CONFERENCE: how data and AI help sports

16/06/2020

Karl Schwarzenbrunner is the head of the Education and Science Department at the German Ice Hockey Association, and also a speaker at the 8th MEDICA MEDICINE + SPORTS CONFERENCE 2020, which will take place this year on 18 and 19 November in Düsseldorf.
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Robotics in the OR: Relieving the surgeon

04/05/2020

In the operating room, minimally invasive procedures are increasingly used. Robot-assisted systems are a great help for the surgeon. They support the surgeon and are extremely precise. Through innovative research approaches, robotic systems are constantly evolving.
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Robotic-Assisted Surgery with the daVinci-System

04/05/2020

Robotic surgical systems are often used to perform minimally invasive procedures. The daVinci surgical system is still one of the market leaders and is especially well suited to perform prostatectomies, a surgical option for prostate cancer.
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Robots in the Operating Room: Improving Training and Safety

04/05/2020

Surgical robots are transforming the operating room. They deliver many benefits but also present new challenges. That is why the efficient handling of robotic mechanisms must also be reflected in the respective training courses.
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Innovative Robotic-Assisted Surgical Systems

04/05/2020

More compact, more flexibility, and more precision - these are the main characteristics developers strive for as they advance robotic-assisted surgical systems for the operating room. Several technology providers have already shown how it’s done, including the makers of the popular daVinci Surgical System. Yet for robotic-assisted systems, the sky is the limit.
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In-ear sensors for monitoring vital parameters

22/04/2020

Wearables offer practical solutions for the flexible measurement of data. The sensor from cosinuss° is worn directly in the ear and offers a precise monitoring of vital parameters.
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Image: young woman makes an ultrasound with the new system and shows patient the image on her smartphone; Copyright: Universitätsklinikum Bonn

Ultrasound to go: versatile partner on hospital rounds

08/04/2020

The University Hospital Bonn has recently introduced an ultrasound device that's small enough to fit in your coat pocket. It's ready to use once you have connected it to a tablet or smartphone. The portable system makes bedside physical exams possible. The device primarily benefits students as it allows them to combine basic knowledge and clinical application.
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Cardiovascular diseases: using AI to navigate the catheter

09/03/2020

Treatment of a heart attack or stroke caused by vascular occlusion must be prompt to prevent further damage to vital tissue. Unfortunately, the actual treatment is often preceded by a lengthy catheter-based procedure where the cardiologist manually guides the catheter to the affected vessel. AI might perform this task in the future.
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Digital cardiology: analyzing data beat by beat

03/02/2020

Chronic cardiovascular diseases are a growing burden worldwide. Most of them are diseases of civilization that spread, where lifestyle is improving or where it is good already. But the healthcare systems are not growing equally to keep up with this development. We can make up for this by making cardiological care smarter with eHealth and mHealth.
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Image: person holding hand to the heart with a graphic depiction of a heart in front of them; Copyright: panthermedia.net/suriyaphoto

Cardisiography: A Non-Invasive Heart Screening Test

03/02/2020

Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.
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