AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

This article describes a new method (VS-FPM) for analysis of unstained tissues based on the application of supervised machine learning to generate brightfield hematoxylin and eosin (H&E) images from ...

Russian researchers have pulled off a feat that sounds closer to science fiction than standard lab work, reviving microscopic “zombie worms” that had been locked in Arctic ice for roughly 24,000 years ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South ...

Digital media in this sub-series (CD Nos. 24-46 and 1 CD labeled "Fotografias Parintintin) is restricted for preservation reasons. The restricted items are located in Boxes 146 and 147.

Abstract: This research focuses on the forbidden state problem in the framework of labeled Petri nets (LPNs), i.e., to design a supervisor for a plant modeled by an LPN such that the closed-loop ...

Dec 12 : Bitcoin hoarding giant Strategy clung to its place in the Nasdaq 100 on Friday, continuing its year-long stint in the benchmark at a time where analysts have raised questions over its ...

Has been presented in 2024 at the 21th International Symposium on Biomedical Imaging (ISBI-2024). Authors: George Batchkala, Bin Li, Mengran Fan, Mark McCole, Cecilia Brambilla, Fergus Gleeson, Jens ...

Abstract: Multiple instance learning (MIL)-based framework has become the mainstream for processing the whole slide image (WSI) with giga-pixel size and hierarchical image context in digital pathology ...

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