Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Abstract: Breast cancer is the most common cancer in women, with early detection playing a crucial role in improving survival rates. Currently, diagnostic methods ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...

Last September, a seemingly innocuous announcement from the US Food and Drug Administration (FDA) created a swell of confusion for 42 million women. The agency updated its Mammography Quality ...

Artificial intelligence shows great promise in helping physicians improve both their diagnostic accuracy of important patient conditions. In the realm of gastroenterology, AI has been shown to help ...

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Visual capturing and profiling of circulating tumor cells from breast cancer patient’s blood via combining fluorescent IMNPs in a magnet-integrated 3D-printed microfluidic chip. This is an ASCO ...

Objective Multi-cancer early detection (MCED) tests are novel technologies that detect cancer signals from a broad set of cancer types using a single blood sample. The objective of this study was to ...