Medical images, including computed tomography (CT) scans, provide professionals in oncology with essential information for cancer detection ... bottleneck in research projects and clinical ...

Craif, spun off from Nagoya University in Japan in 2018, is using microRNA (miRNA) to develop an AI-powered early cancer detection software, and it has raised $22 million in Series C funding to ...

Lauren was three years old when doctors diagnosed her with a rare brain tumor called pineoblastoma. Those harsh treatments include rounds of chemotherapy and proton radiation to rid her brain of ...

The Brain Tumor Detector is a real-time brain tumor detection system built with the YOLOv8 deep learning model and Streamlit for an interactive web interface. This application enables users to upload ...

at least in initial tests on brain tissue samples, to become the first practical tool of its kind for detecting cancer cells directly using mutations in real time during brain surgery. The ...

In this review, the goal is to provide a practical overview of the current and future role of ctDNA in bladder cancer including ongoing trials. Minimally invasive genomic sequencing of circulating ...

A new study published in Biology Methods & Protocols demonstrates how the unique combination of explainable AI (XAI) and repurposing camouflage animal detection ... the AI using brain cancer ...

Summary: AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance. Using convolutional neural networks and transfer learning ...

"The technology works faster and more accurately than current standard of care methods for tumor detection and could be generalized to other pediatric and adult brain tumor diagnoses. It could ...