We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

In image-based profiling, software extracts thousands of morphological features of cells from
multi-channel fluorescence microscopy images, yielding single-cell profiles that can be used …

Featurizing microscopy images for use in biological research remains a significant
challenge especially for large-scale experiments spanning millions of images. This work …

Cells are essential to understanding health and disease, yet traditional models fall short of
modeling and simulating their function and behavior. Advances in AI and omics offer …

Measuring the phenotypic effect of treatments on cells through imaging assays is an efficient
and powerful way of studying cell biology, and requires computational methods for …

High-throughput image-based profiling platforms are powerful technologies capable of
collecting data from billions of cells exposed to thousands of perturbations in a time-and cost …

Modern drug discovery approaches often use high-content imaging to systematically study
the effect on cells of large libraries of chemical compounds. By automatically screening …

Image-based profiling has emerged as a powerful technology for various steps in basic
biological and pharmaceutical discovery, but the community has lacked a large, public …

The field of bioimage analysis is currently impacted by a profound transformation, driven by
the advancements in imaging technologies and artificial intelligence. The emergence of …

Modern quantitative image analysis techniques have enabled high-throughput, high-content
imaging experiments. Image-based profiling leverages the rich information in images to …