Gene expression and cell morphology data are high-dimensional biological readouts of
much recent interest for drug discovery. They are able to describe biological systems in …

Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds
that disrupt the function of these organelles can lead to serious side effects, including liver …

High-content image-based assays have fueled significant discoveries in the life sciences in
the past decade (2013–2023), including novel insights into disease etiology, mechanism of …

Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to
drug withdrawal. Although many studies aim to identify biomarkers and gene/pathway …

Fluorescent-based microscopy screens carry a broad range of phenotypic information about
how compounds affect cellular biology. From changes in cellular morphology observed in …

Identifying active compounds for a target is a time-and resource-intensive task in early drug
discovery. Accurate bioactivity prediction using morphological profiles could streamline the …

Accurate profiling of microscopy images from small scale to high throughput is an essential
procedure in basic and applied biological research. Here, we present Microsnoop, a novel …

Microplates are indispensable in large-scale biomedical experiments but the physical
location of samples and controls on the microplate can significantly affect the resulting data …

Artificial intelligence (AI) and high-content imaging (HCI) are contributing to advancements
in drug discovery, propelled by the recent progress in deep neural networks. This review …

The cell painting (CP) assay has emerged as a potent imaging-based high-throughput
phenotypic profiling (HTPP) tool that provides comprehensive input data for in silico …