A new study confirms fibrosis as a prognostic indicator in HER2-negative, the most common breast cancer, and opens the way to antifibrotic drug treatments.
The delivery of blood samples via drone from a hospital to a medical laboratory can save a lot of time, compared with land-based transport. A new trial explores the potential in London.
While awareness for antimicrobial resistance (AMR) in bacteria is relatively high, fungal pathogens remain largely ignored – a blind spot with potentially dire consequences for global health.
Testing from histopathology laboratories is considered the gold standard for many diseases. To avoid errors that can significantly impact patient outcomes, an expert details on quality assurance (QA).
A new method of analysing the crystals in dehydrated blood could lead to a quicker, cheaper and less painful technique to diagnose, early detect, and monitor prostate cancer.
In a recent study, researchers proposed a novel technique to help make stained histopathological image datasets more useful for many emerging machine-learning-based classification systems.
Researchers have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.
Cologne researchers have developed an AI-based digital pathology platform to enable extremely fast and accurate fully automated analysis of tissue sections from lung cancer patients.
Researchers discovered a gene that might be a key factor in the progression of Huntington’s disease in organoids. The gene may contribute to brain abnormalities much earlier than previously thought.
Brazilian researchers have identified a key mechanism of Sars-CoV-2 to manipulate its host’s immune defense. This discovery could pave the way for the development of novel therapies.
Infections caused by antibiotic-resistant (AMR) bacteria are a major issue in hospitals. A new technique aims to effectively track all types of relevant microorganisms simultaneously.
Systemic lupus erythematodes can lead to severe kidney damage. However, until now, the cause for this remained unclear. New research has now revealed the underlying mechanism.
Many patients with Duchenne muscular dystrophy (DMD) suffer from neurobehavioral difficulties that can significantly impact quality of life. A new screening tool shows promise for assessing this.
A new method could lead to a significantly more precise and reliable diagnosis of pancreatic cancer. It is based on the selective detection of specific antibodies in blood samples.
A novel test aims to predict whether Alzheimer’s patients are genetically predisposed to side effects from anti-amyloid drugs, a promising new class of Alzheimer’s therapeutics.
Dermatologists could benefit from a new algorithm that can help recognize patients with a highly aggressive form of basal cell carcinoma (BCC) of the face.
Using vascular organoids derived from stem cells, researchers gain new insights into how diabetes damages blood vessels. This could lead to to the development of new treatments.
Researchers have developed a fluorescence assay for viral integrity (or FAIRY, for short), to quickly determine the effectiveness of countermeasures against a given virus.
Klebsiella is among the top three pathogens responsible for hospital-acquired infections (HAIs). Now, researchers discovered why the bacteria thrive in clinical environments.
New research shows that the AI large language model ChatGPT can be tailored to provide accurate responses to questions about digital pathology and compile detailed results.
Ductal Carcinoma in Situ (DCIS) often develop into more invasive forms of breast cancer. To predict which DCIS patients are likely to be affected, researchers have developed an analytic AI-based tool.
A new test shows promise in making cervical cancer screening more accessible and less invasive by detecting oncoproteins of the human papillomavirus (HPV) in urine samples.
A new study shows that extracellular vesicles shed by prostate cancer cells contain tumor-derived material that can be used as biomarkers of therapy response and resistance in metastatic disease.
Integrating bacterial genomic data with detailed human mobility data makes it possible to see how pathogens causing pneumonia and meningitis, move between regions and evolve over time.
Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than current methods.