News • Pathogen Analyzer
Researchers develop cost-effective PCR test alternative
Speed or accuracy? As far as Covid-19 tests go, this was the choice you had to make. In the future, this dilemma could be a thing of the past.
Sponsored • TissueTek Genie System
Advanced staining can be beautifully simple when we standardise it
Imagine, one single standardising solution, enabling uncompromisingly fast results and providing you with the exact same predictable turnaround time.
Sponsored • POCT
Pluslife Biotech – Mini Dock POC Molecular System
The Pluslife Mini Dock System is a Next-Generation POC molecular diagnostic tool that can be used in different application scenarios, which aims to help the decentralization of MDx in diagnosing facilities.
Article • Detecting several different diseases
Multiplex diagnostics: next-generation techniques for new challenges
With the rise of syndrome-style infections, co-infections and the current antimicrobial resistance challenges, the need for multiplexed diagnostics is now more important than ever.
Sponsored • Diagnostics Alliance against SARS-CoV-2
The Global Alliance for Diagnostics Sets Next-Generation POC Molecular Testing Collaboration
The coronavirus pandemic is a huge challenge for global public health and welfare. Decentralized, affordable POC MDx platforms would allow more effective control of SARS-CoV-2 and other infections.
Lab-on-a-chip
Multiplexed lab-on-a-chip bioassays for testing antibodies against SARS-CoV 2 and its variants in multiple individuals
The coronavirus pandemic caused by SARS-CoV-2 and its variants is still a major public safety issue worldwide. The “alpha” variant B.1.1.7, the “gamma” variant P.1, the “beta” variant B.1.351, and the “delta” variant B.1.617 are of particular concern because of their high prevalence. Large-scale vaccination and sensitive detection are vital for preventing the spread of Covid-19.
News • 'Synthetic origin' theory of SARS-CoV-2 debunked
Was the coronavirus engineered in a lab? Experts cast doubt on new analysis
Research presented in a new preprint suggests that SARS-CoV-2 might have been artificially created in a laboratory. Experts from Würzburg have reviewed the paper – and remain unconvinced.
News • Leukemia research
How 'chameleon cancers' change their colors to survive treatment
Some leukemias evade treatment by changing their appearance and identity through changing the read-out of their DNA, a new study has found.
News • Filopodia research
'Sticky fingers' in cells keep breast cancer contained
Researchers in Finland have identified that finger-like cellular extensions called filopodia contribute to building a barrier surrounding breast tumours.
News • CSCC study finds distinct subgroups
Cervical cancer: major new clue to understanding aggressiveness
Scientists have discovered that cervical cancer can be divided into 2 distinct molecular subgroups – one far more aggressive than the other – as part of the largest ‘omics’ study of its kind.
News • Children’s cancer
Rhabdomyosarcoma: Blood tests could offer smarter treatment
A simple 'liquid biopsy' blood test could help guide the treatment of children with the cancer rhabdomyosarcoma, a new study reports.
News • Answer to SARS-CoV-2 mutations
One step closer to 'variant-proof' Covid-19 vaccine
A vaccine design approach that could protect against new variants of SARS-CoV-2 but also potentially protects against other coronaviruses is one step closer to reality as a result of new research.
Article • Patient care
Molecular Tumour Board for better decision-making
As more genomic alterations become targets for therapy, health institutions and hospitals are creating specialist Molecular Tumour Boards to support better decision-making for patient care. This evolving team, and its role, was highlighted in a presentation at the 34th European Congress of Pathology in Basel, Switzerland.
Supervised learning approach
A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma
The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.
Malignant tumour management
’Our machine learning model achieved 88.9% accuracy in predicting the sarcoma-specific survival rate’
Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.
CNN applications in pathology
‘Deep learning can predict survival directly from histology in clear cell renal cell carcinoma’
Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.
Article • AI provides prognostic information
Next-generation deep learning models predict cancer survival
Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…
Article • Prediction for breast, ovarian, cervical, and endometrial carcinoma
New test detects four women’s cancers from cervical screening samples
What if a test analysing cervical cells from a gynaecological swab could be used to detect four different female cancers at an early stage and also predict cancer risk over a healthy woman's lifetime? Researchers at the EUTOPS Institute in Innsbruck, Austria, are developing tests to do just that for breast, ovarian, cervical, and endometrial cancer detection.
News • Infection control
Legionnaire's disease: genetic analysis key to understanding risk
Routine sampling of water supplies and genomic sequencing of Legionella bacteria could play a key role in identifying the source of Legionnaires’ disease outbreaks, research suggests.
News • Model system shows tumor grwoth
Novel organoid model for pancreatic cancer
Researchers in Munich have developed a novel model system that can be used to precisely track the growth steps and three-dimensional arrangement of pancreatic cancer cells.
News • Biomarker research
Alzheimer's: blood test detects beta-amyloid
Researchers from Japan have developed a method to detect build-up of amyloid β in the brain, a characteristic of Alzheimer’s disease, from biomarkers in blood samples.
Sponsored • 100th DxA Automation System installed
Automation reimagines laboratory diagnostics service
San Paolo Hospital in Savona, Italy, has upgraded its Corelab-related analytical equipment. In collaboration with Beckman Coulter, the San Paolo diagnostic laboratory has installed Beckman Coulter’s DxA 5000 Laboratory Automation System, an innovative, high-throughput automation system that rapidly increases test processing.
Sponsored • Earlier disease prediction and identification
The potential of AI in routine blood testing
It’s widely known that more than 70% of today’s medical decisions involve the results of laboratory tests, but the insights clinicians derive from these tests today may only be scratching the surface of their potential.
Article • Lab equipment
LABBook - Your guide to laboratory and pathology equipment in Europe
LABBook provides an overview of European laboratory systems. Whether you are about to set up a new lab or want to replace existing equipment, LABBook will help you make smart investment decisions to boost efficiency and productivity in your lab.
News • Resistance building prevention
New test to reduce antibiotics in primary care
Antibiotic prescribing in primary care could be monitored using health insurance data. And reduced with a simple test.
