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Image: Woman undergoing a CT scan; Copyright: panthermedia.net/Tyler Olsonv

Machine learning: superior results for low-dose CT

12.06.2019

Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings were just published in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.
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Image: patient with Parkinson`s playing with a puzzle; Copyright: panthermedia.net/AndrewLozovyi

Ultrasound: restoring dopaminergic pathway at Parkinson's

11.06.2019

While there are several thousand drugs available to treat brain diseases, they cannot penetrate the blood-brain barrier (BBB) into the brain. The BBB, which protects the brain from pathogens, also prevents most drugs from gaining access to the brain functional tissue, a well-known challenge to the treatment of all brain diseases including neurodegenerative disorders like Parkinson's disease.
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Image: blood sample tubes; Copyright: panthermedia.net / scanrail

Blood test: How effective is stem cell transplantation?

24.05.2019

University of Maryland School of Medicine study shows the potential of transplanted stem cell secretions as a liquid biopsy.
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Images: Researchers work with microscopes; Copyright: panthermedia.net / LightField Studios

Microscope: Technology revolutionizes drug development

22.05.2019

The search for new drugs to combat diseases more effectively could be revolutionised through a new £30 million electron microscopy project. Experts would be able to see, for the first time, how a particular drug works within a patient at a cellular level or the molecular processes set in motion by a genetic mutation.
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Image: New deep-learning model for lung cancer; Copyright: panthermedia.net / belchonock

AI: System spots lung cancer before radiologists

22.05.2019

Deep learning - a form of artificial intelligence - was able to detect malignant lung nodules on low-dose chest computed tomography (LDCT) scans with a performance meeting or exceeding that of expert radiologists, reports a new study from Google and Northwestern Medicine.
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Image: woman with breast cancer and child in her arms; Copyright: panthermedia.net / ArturVerkhovetskiy

AI: Novel method predicts future risk of breast cancer

14.05.2019

Researchers from two major institutions have developed a new tool with advanced artificial intelligence (AI) methods to predict a woman's future risk of breast cancer.
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Image: Wrist with smartwatch, which measures the pulse rate; Copyright: panthermedia.net / Lev Dolgachov

mHealth: Atrial fibrillation detection – App supports heart health

08.05.2019

Atrial fibrillation is the most common type of persistent cardiac arrhythmia (irregular heart rhythm). Researchers estimate that 1.8 million Germans are presently affected by this disease. The condition is difficult to diagnose, frequently goes undetected and may result in a stroke. A new smartwatch medical app is designed to help patients detect atrial fibrillation before it’s too late.
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Image: man with smartwatch playing piano; Copyright: Carnegie Mellon University

mHealth: Smartwatches sense hand activity

07.05.2019

We've become accustomed to our smartwatches and smartphones sensing what our bodies are doing, be it walking, driving or sleeping. But what about our hands? It turns out that smartwatches, with a few tweaks, can detect a surprising number of things your hands are doing.
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Image: Stetoscope on a medical document about ovarian cancer; Copyright: panthermedia.net / Premium shots

Imaging: System helps to remove tiny ovarian tumors

01.05.2019

Ovarian cancer is usually diagnosed only after it has reached an advanced stage, with many tumors spread throughout the abdomen. Most patients undergo surgery to remove as many of these tumors as possible, but because some are so small and widespread, it is difficult to eradicate all of them.
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Image: AI analyzes diabetic ratinopathy; Copyright: panthermedia.net / peshkova

mHealth: Smartphone AI detects diabetic retinopathy

01.05.2019

Researchers at the University of Michigan Kellogg Eye Center revealed that combining a smartphone-mounted device that takes high-quality retinal pictures with artificial intelligence software that reads them, can determine in real- time whether a patient should be referred to an ophthalmologist for follow-up.
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Image: Doctor and patient carrying out hand exercises; Copyright: panthermedia.net / photographee.eu

Physiotherapy: Quality post-stroke rehabilitation system

30.04.2019

Researchers of Kaunas University of Technology (KTU), the Lithuanian University of Health Sciences (LSMU) and Italian high-tech company Gruppo Fos Lithuania are developing a technology for the personalised care of the patients who have experienced a stroke. After collecting data of physiological parameters, the multimodal system will choose personalised rehabilitation solutions for each patient.
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Image: doctors in front of an MRI Copyright: panthermedia.net/ Arne Trautmann

AI performs as well as experienced radiologists

18.04.2019

UCLA researchers have developed a new artificial intelligence system to help radiologists improve their ability to diagnose prostate cancer. The
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Image: brain; Copyright: panthermedia.net / Wavebreakmedia Itd

Implants: 3D-printed skull provides window to brain

04.04.2019

Researchers at the University of Minnesota have developed a unique 3D-printed transparent skull implant for mice that provides an opportunity to watch activity of the entire brain surface in real time. The device allows fundamental brain research that could provide new insight for human brain conditions such as concussions, Alzheimer's and Parkinson's disease.
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Image: head graphic brain; Copyright: panthermedia.net/ Yuzach

AI for better assessment of brain tumor treatment

03.04.2019

A team from Heidelberg University Hospital and the German Cancer Research Centre has developed a new method for the automated image analysis of brain tumors. In their recent publication, the authors show that machine learning methods carefully trained on standard magnetic resonance imaging (MRI) are more reliable and precise than established radiological methods in the treatment of brain tumors.
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Image: digital capture of an eye; Copyright: panthermedia.net / cosmin momir

A digital look inside the human eye – when algorithms diagnose Diabetes

02.01.2019

Diabetes mellitus or simply diabetes has become very common and is often described as a lifestyle disease. More and more people are suffering from this chronic metabolic disorder. Next to established diagnostic procedures, digital retinal screening has shown to be successful - a promising technique that will also play an important role in the diagnosis of other diseases in the future.
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Image: Radiology assistant presses a button at the front of a CT; Copyright: panthermedia.net/Arne Trautmann

Lung cancer: Screening with low-Dose CT scans

01.10.2018

Lung cancer is one of the most common and deadliest cancers. The symptoms tend to be non-specific, often causing its detection to be too late. Currently, there is no comprehensive screening. This could change with the use of low-dose CT scans. It should be noted that this is not just an issue of technical feasibility. A screening test must also make sense from a health policy perspective.
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Image: DermaFC developed by Magnosco; Copyright: Magnosco

A startup makes melanin glow: skin cancer diagnostics with Magnosco

09.04.2018

When a skin lesion is suspected to exhibit malignant changes, it is usually promptly removed. However, not all cases require an excision of the affected tissue. The startup company Magnosco has developed a procedure that uses a laser to support the diagnosis and early detection of malignant melanoma.
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Image: A hand touches a smartphone camera that is measuring the heart rate with an app; Copyright: Preventicus GmbH

"Preventicus Heartbeats": An app that's a clinically validated medical device

01.12.2017

Stroke is the second leading cause of death in the world. Yet many incidences of stroke are preventable since they are frequently associated with an undetected abnormal heart rhythm. In this case, patients can benefit from using the clinically validated "Preventicus Heartbeats" app, which measures and documents the heart rhythm with a smartphone camera.
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Image: Graphic representation of Europe with small figures depicting the population; Copyright: panthermedia.net/Takahase Segundo

Hospital-acquired infections: pathogens know no borders

03.04.2017

Many aspects are uniformly regulated in Europe, however, hospital hygiene and MRSA prevention, for example, are not. The Netherlands plays a pioneering role in the fight against hospital-acquired infections. The country is an often-cited role model. But can other countries simply adopt the same system? And what makes it so different? MEDICA asked expert Prof. Alexander W. Friedrich.
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