A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging accuracy from computed tomography scans.
A new transformer-based AI model, Fragmentia-AI-COAD, detects colorectal cancer and advanced adenomas in blood with high sensitivity by analyzing cell-free ...
A new computational framework called JEEPERS detects and corrects methylation errors caused by jagged ends in cell-free DNA, improving cancer ...
A scoping review of 90 studies finds that tracking changes in routine blood tests over time is a growing but ...
A prospective Manchester study found 73.3% sensitivity and 90.7% specificity for self-collected first-void urine cytology in women with postmenopausal bleeding, ...
A charge-separating device enriched pancreatic cancer-associated extracellular vesicles in blood samples from 112 people, revealing a difference that average electrical ...
A new methods article outlines how artificial intelligence should be used to integrate liquid biopsy biomarkers in cancer research, finding ...
A computational design study reports a compact photonic crystal nanocavity biosensor that detects refractive-index changes with extreme precision, offering a ...
Every year, acute lymphoblastic leukemia claims thousands of lives, many of them children, and the first clue to its presence ...
A single tube of blood contains far more than cells and proteins. It also carries cell-free DNA (cfDNA), short fragments ...
University of Bath chemists have mapped how tiny structural changes tune the colour and brightness of azulene-based fluorescent probes, producing ...
A new review argues that stable isotope fractionation patterns, long used to reconstruct Earth's history, could become mechanistic biomarkers for ...
In a groundbreaking advancement for cancer diagnostics, researchers have unveiled a plasma protein profiling technique capable of predicting cancer in ...
