A new study sheds light on proteins in particles called extracellular vesicles, which are released by tumor cells into the bloodstream and promote the spread of cancer. The findings suggest how a blood test involving these vesicles might be used to diagnose cancer in the future, avoiding the need for invasive surgical biopsies.
Hamamatsu Photonics invites you to join us for a panel discussion with pathologist Matthew Hanna, MD and IT Manager Nikolas Stathonikos on Thursday, 9 July at 17:00 CET. In this rapidly evolving healthcare landscape triggered by COVID-19, pathology, and remote diagnosis have been elevated to critical topics. These two experts, representing both the clinical and information technology areas, will…
Beckman Coulter announced that its Access SARS-CoV-2 IgG assay has received Emergency Use Authorization (EUA) from the U.S. Food & Drug Administration (FDA). Beckman Coulter has already shipped tests to more than 400 hospitals, clinics and diagnostics laboratories in the U.S., and has begun distribution of the new antibody test globally to countries that accept the FDA EUA and CE Mark. The…
It’s currently difficult to screen for certain liver diseases and to monitor these conditions once they’re discovered. A team led by investigators at Massachusetts General Hospital (MGH) and the Massachusetts Institute of Technology (MIT) recently developed a non-invasive imaging method that has promising clinical potential to accomplish both goals. The technique is described in a study…
To develop and manufacture COVID-19 test kits in massive quantities was not part of their 2020 business plans. Yet, as the epidemic evolved into a global pandemic, the urgent need for diagnostic and antibody SARS-CoV-2 test kits triggered an unprecedented scramble among medical manufacturers.
A new diagnostic test can detect the RNA of SARS-CoV-2, the virus that causes COVID-19, in urine, blood, saliva or mouth swab samples in just 30 to 45 minutes, according to a new study in the open-access journal PLOS ONE by Laura Lamb of the Beaumont Health System, Michigan, USA, and colleagues.
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual…
The Society for Imaging Informatics in Medicine (SIIM) and the International Skin Imaging Collaboration (ISIC) are working together to host a machine learning challenge on melanoma classification, using the ISIC archive which contains the largest publicly available collection of quality controlled dermoscopic images of skin lesions. Image contributors include: Hospital Clínic de Barcelona,…
The novel Coronavirus infection (severe acute respiratory syndrome SARS-CoV-2), which has led to the spread of COVID-19 around the world, has upset normal workflow in hospitals. The increased workload and stress, due to the necessity of implementing safe and separate diagnostic pathways, and the need to constantly monitor the development of the disease after its onset, continues to have a…
Royal Philips announced the ultimate ultrasound solution for pediatric assessment, the latest addition for its Philips Ultrasound System (EPIQ Elite). The new ultrasound solution provides clinicians with exceptionally detailed images and the performance they need to make a definitive diagnosis for pediatric patients, reducing the need for additional diagnostic imaging steps, such as X-ray imaging.
An ingenious necklace which detects abnormal heart rhythm will be showcased for the first time on EHRA Essentials 4 You, a scientific platform of the European Society of Cardiology (ESC). “The wearable necklace-ECG (electrocardiogram) provides a new and easy method for detecting an abnormal heart rhythm called atrial fibrillation, which is a fast-growing public health problem,” said study…
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed an AI that automatically diagnoses atrial fibrillation and five other common ECG abnormalities just as well as a cardiologist. The study has been published in Nature…
Death rates from prostate cancer are predicted to fall in 2020 in the EU, largely due to better diagnosis and treatment, according to new research published in the leading cancer journal Annals of Oncology. In the latest predictions for cancer deaths in the EU for 2020, researchers led by Carlo La Vecchia (MD), Professor at the School of Medicine, University of Milan (Italy), show that since 2015…
A new app, which will be used to collect data to develop machine learning algorithms that could automatically detect whether a person is suffering from COVID-19 based on the sound of their voice, their breathing and coughing, has been launched by researchers at the University of Cambridge. The COVID-19 Sounds App is now available as a web app for Chrome and Firefox browsers. Versions for Android…
In diagnostics, it sometimes makes sense to follow your nose. During the Labmed Forum at Medica 2019, Dr Beniam Ghebremedhin and Dr Simona Cristescu discussed the diagnostic potential of breathomics – the analysis of a patient’s exhaled air for disease indicators. The idea that a patient’s breath can aid in the diagnosis of diseases is far from new: In ancient Greece, physicians considered…
Researchers at the German Red Cross Blood Donor Service in Frankfurt headed by Professor Erhard Seifried, and the Institute for Medical Virology at the University Hospital Frankfurt at Goethe University headed by Professor Sandra Ciesek succeeded in developing a procedure that makes it possible to immediately and dramatically increase worldwide testing capacities for detecting SARS-CoV-2.
The world’s only online image-based COVID-19 diagnosis improvement tool for healthcare workers is launched by University of Sydney spinoff DetectED-X, drawing on its global experience and outcomes in breast cancer detection and patient cases from the coronavirus pandemic. The cloud-based technology will help doctors and radiologists diagnose cases faster and more accurately. Computed tomography…
French in vitro diagnostics company bioMérieux announced that its subsidiary, BioFire Defense, has received Emergency Use Authorization (EUA) by the U.S. Food and Drug Administration of its BioFire COVID-19 test for use in CLIA moderate and high complexity clinical laboratories to detect the novel coronavirus SARS-CoV-2. The test detects SARS-CoV-2 in approximately 45 minutes from a…
Radiology, pathology, medical genetics and laboratory medicine under one roof: many hospitals are toying with the idea of ‘integrated diagnostics’ but it was the medical management at Geneva’s University Hospital that dared to take the first step and consolidate all these diagnostic disciplines in a single organisational unit: The Diagnostic Department. ‘Our long-term vision is a…
Artificial intelligence (AI) has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Published in the Journal of Clinical Sleep Medicine, the position statement was developed by the AASM’s Artificial Intelligence in Sleep Medicine…
In a study of more than 1,000 patients published in Radiology, chest CT outperformed lab testing in the diagnosis of 2019 novel coronavirus disease (COVID-19). Researchers at Tongji Hospital in Wuhan, China, concluded that CT should be used as the primary screening tool for COVID-19. In the absence of specific therapeutic drugs or vaccines for COVID-19, it is essential to detect the disease at an…
Thermo Fisher Scientific and NanoPin Technologies, Inc. have entered into a collaborative relationship to advance blood-based infectious disease detection technology through the development of highly sensitive liquid chromatography mass spectrometry (LC-MS)-based workflows. Through the detection of disease-related antigens directly from patient blood samples, NanoPin's unique diagnostic platform…
A new digital tool that tailors specific questions based on a patient's medical history could improve the safety of diagnosis and effectiveness of care, according to a new study at Danderyd Hospital and Karolinska Institutet. "The AI ensures the patient is asked all relevant questions for that particular individual," says doctoral student Helge Brandberg, one of the developers behind…
Researchers at Karolinska Institutet have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer. The AI-system has the potential to solve one of the bottlenecks in today’s prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions. The study, presented in The Lancet Oncology, shows that the…
T2 Biosystems, Inc., a leader in the development and commercialization of medical diagnostic products, and CARB-X, a global non-profit partnership dedicated to accelerating R&D innovation to address the rising global threat of drug-resistant bacteria, announced the granting of a CE mark to the T2Resistance Panel. With the CE mark, T2 Biosystems has met the requirements of the In-Vitro…