Two new peer-reviewed studies from Sciome focus on the use of artificial intelligence (AI) and deep learning for biological image analysis. Published in Lab on a Chip and SLAS Technology,…
Sciome will present two scientific posters at the Microphysiological Systems (MPS) World Summit, taking place May 26–29, 2026, in Washington, DC, highlighting the company’s latest advances in AI-enabled image analysis…
A newly published study in SLAS Technology describes a novel artificial intelligence platform, FINS (Fish Imaging and Neural Scoring), that could accelerate zebrafish embryo toxicity screening while reducing the need…
Designing new chemicals has long been a slow, expensive process, relying on repeated trial-and-error cycles of testing and optimization. Even with computer-assisted design, researchers face challenges in flexibility, efficiency, and…
Every month the National Institute of Environmental Health Sciences (NIEHS) highlights a few exemplary papers of interest in their E-newsletter, Environmental Factor. For July 2025, we are pleased to announce…
Researchers from Sciome and the National Institute of Environmental Health Sciences (NIEHS) have developed an advanced artificial intelligence (AI) system that could transform how scientists screen chemicals for developmental toxicity.…
A recent study has spotlighted Sciome’s cutting-edge artificial intelligence tool, SWIFT-Active Screener, as a promising solution to one of the most time-consuming stages in systematic reviews (SRs): article screening. Systematic…
Full zebrafish imaging pipeline – from raw multi-well plates to validated phenotypic calls – enabling large-scale developmental toxicology at speed.
Intelligent morphological assessment for cell culture systems. Regional prediction maps reveal sub-well patterns invisible to manual review.
New species, a new assay endpoint, a new image modality – we build on the same AI pipeline behind FINS, CellVision, and SpheroidVision instead of starting from scratch.
Automated high-throughput analysis of 2D/3D spheroids and organoids. Captures morphology, growth dynamics, and treatment responses at scale.