Artificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.
Sapio LIMS is a configurable, open, and easy-to-use LIMS platform. It supports the entire laboratory workflow, from request to sample preparation to analysis and reporting. Sapio LIMS has powerful no-code configuration, making it easy to set up to support your laboratory’s unique requirements. And with a range of out-of-the-box applications, such as NGS and in vivo, you can quickly start making the most of Sapio LIMS.
Machine-learning software that reduces the analysis bottleneck of large data sets in your surface plasmon resonance workflow
An intuitive browser-based tool for spatial omics data analysis. Simple to use with datasets created by any microscope, SPATIAL features best-in-class image alignment, cell and tissue segmentation.
Sapio LIMS for clinical diagnostics enables your lab to quickly design, deploy, and automate end-to-end workflows to meet your lab’s exact needs. Including a physician portal; automated accessioning and order processing; multithreaded, out-of-the-box, no/low-code configurable workflows; simple and sophisticated automation rules; and streamlined report generation.
Mica is the world’s first imaging Microhub. More than a highly automated microscope, it unites widefield and confocal imaging in a sample protecting, incubating environment. With the simple push of a button, you have everything you need - all in one place - to supercharge fluorescence imaging workflows and get meaningful scientific results faster.
Predict Genotoxic & Carcinogenic Endpoints to Meet ICH M7 Guidelines
