Using a prototype field cycling imager (FCI) scanner to examine breast cancer tissue, scientists distinguish tumour material from healthy tissue with more accuracy than current MRI methods.
Photon counting detectors along with novel algorithms allow for more precise 3D visualization of different tissues and contrast agents by capturing X-rays at multiple energy levels simultaneously.
A new AI-enhanced technique makes breast cancer tissue “glow” on MRI scans. This not only improves breast cancer detection but also can help treat it more effectively, the researchers say.
The shimmering blue wings of a Morpho butterfly are not just beautiful to look at - they can also help make cancer diagnosis faster, more accurate and more accessible, new research finds.
Researchers have created a landmark atlas of how healthy breast tissue ages, revealing key cellular, molecular, and genetic changes that may tip the balance toward breast cancer development.
A premiere that brings hope for fertility restoration to men who underwent chemotherapy during childhood: Researchers reintroduced cryopreserved immature testicular tissue taken 16 years prior.
US researchers have developed a comprehensive deep learning AI model designed to more accurately identify and classify cells in high-content tissue images.
An “out-of-this-world” project has the potential to transform the future of tissue engineering and liver transplantation through research conducted aboard the International Space Station (ISS).
Sakura Finetek’s Tissue-Tek Xpress® x120 Rapid Tissue Processor is the only instrument on the market that allows for continuous, rapid processing of both biopsy and larger tissue, resulting in a streamlined histology workflow. Being part of Sakura’s SMART Automation concept, this tissue processing solution is designed to automate manual work and create a continuous flow throughout the lab.
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.
Researchers have created a mucus-based bioink which can be used for 3D printing lung tissue. This advance could one day help study and treat chronic lung conditions.
Researchers at Stanford have demonstrated that conditions in the matrix surrounding pancreatic cancer cells impact whether those cells respond to chemotherapy.
Adding a new dimension to pathology: Researchers explore new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions for curated prostate cancer specimens.
Artificial cells to combat cancer: Research groups are working to create synthetic micro-organisms capable of detecting the presence of the disease and delivering anti-cancer therapies.
Researchers have developed the 'iKnife', a smart scalpel that is able to recognise healthy tissue from brain tumour in seconds as it cuts, with more than 98% accuracy.
Patients suffering from cartilage defects in the knee may benefit from a new method in development: Using cartilage from the nose, researchers grow a tailor-made implant.
Cancer patients receiving radiotherapy run the risk of injuring their lungs. This can lead to conditions like pneumonitis and fibrosis. A new cell-by-cell model can help make treatments safer.
Material scientists at TU Wien (Vienna) have developed a new approach to producing artificial cartilage tissue: using a 3D printer, cells are grown in microstructures.
AI models are highly capable in analysing tissue samples – as long as conditions are lab-perfect. Add a little contamination, however, and diagnostic accuracy goes out the window, a new study shows.
