Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Explore the ultimate guide to automated brain organoid culture workflows and learn how the CellXpress.ai system enables scalable ...

Pediatric oncology is rapidly advancing through precision therapeutics, biomarker-informed trials, and adaptive treatment strategies designed to improve ...

From AI-powered passwords to smart home summaries, these are the best iOS 27 features Android needs to copy ASAP.

A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple ...

The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...

The aim of this study was to evaluate the performance of an artificial intelligence (AI)–based method for automated ...

The emergence of large language models (LLMs) offers transformative potential for medical research. Current approaches often focus on LLMs as a replacement for researchers or as a supporting tool. In ...

Ken Huang stated, “the overall increase objective for us in 2026 is over 20%,” and confirmed confidence in maintaining revenue growth in the “20s” percentage range after reporting 39% growth in the ...

Abstract: This paper investigates using popular deep learning models, Spatial Transformer Networks (STNs), and Recurrent Neural Networks (RNNs) for clinical picture segmentation. STNs are used to ...