Cell Painting assays generate morphological profiles that are versatile descriptors of
biological systems and have been used to predict in vitro and in vivo drug effects. However …

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 repositioning aims to reuse existing drugs, shelved drugs, or drug candidates that
failed clinical trials for other medical indications. Its attraction is sprung from the reduction in …

Biopharma drug discovery requires a set of approaches to find, produce, and test the safety
of drugs for clinical application. A crucial part involves image-based screening of cell culture …

Uncovering novel drug candidates for treating complex diseases remain one of the most
challenging tasks in early discovery research. To tackle this challenge, biopharma research …

Organoids and 3D imaging techniques are crucial for studying human tissue structure and
function, but traditional 3D reconstruction methods are expensive and time consuming …

Biopharmaceutical drug discovery, as of today is a highly automated, high throughput
endeavor, where many screening technologies produce a high-dimensional measurement …

Deep Neural Networks (DNNs) have shown remarkable success in various computer vision
tasks. However, their black-box nature often leads to difficulty in interpreting their decisions …

Cellular phenotypes on bioactive compound treatment are a result of the downstream
targets of the respective treatment. Here, a computational approach is taken for downstream …

High-content image-based assays have fueled significant discoveries in the life sciences in
the past decade, including novel insights into disease etiology, mechanism of action, new …