Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence imaging capabilities. It is best suited for high-content screening (HCS) and ...

Thirty-year smoking duration-based criteria could reduce eligibility gaps for all races relative to whites, while improving six-year lung cancer detection sensitivity, according to a study published ...

Fluorescence imaging is the visualization of fluorescent dyes or proteins as labels for molecular processes or structures. It enables a wide range of experimental observations including the location ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Molecular imaging encompasses a variety of imaging techniques that rely on the use of exogenously added probes to target and detect desired cellular or molecular processes in a living organism. Virus ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Dec. 17, 2025 AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from ...

This repository presents a comprehensive implementation and analysis of the Sparse Iterative Covariance-based Estimation (SPICE) algorithm for radar signal processing applications. SPICE represents a ...

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. Skills teach Claude how to complete specific tasks in a repeatable ...