Expert Intelligence Launches AI App Builder for Mass Spectrometry Analysis

Expert Intelligence (EI) announced at the 2023 ASMS conference in Houston, Texas its AI application builder for Mass Spectrometry analysis. The EI App Builder is a fully automated platform that replaces the need for AI engineering to create AI applications for Mass Spec signal analysis. EI AI Apps augment existing software analysis tools by giving scientists a new method to look inside complex and noisy signal data with an easy-to-use, visual AI framework.

“AI has become the “go to” method for extracting hidden patterns in large datasets or creating human-like interactions. To extend AI into scientific analysis, particularly analysis using Mass Spectrometry, we’ve designed an entirely new way of building AI that removes complexity and cost.”, said Lalin Theverapperuma, Ph.D, CEO of Expert Intelligence. “The Expert Intelligence App Builder opens up AI to any scientist by eliminating the need for deep AI knowledge or programming tools. Any scientific expert can quickly and easily create AI models to solve complicated problems solely with their domain knowledge.”

Using AI to create Mass Spec AI EI’s AI App Builder uses AI modules to replace the discrete steps in traditional AI engineering. The EI App Builder supports common Mass Spec data formats and directly imports data into a Data Visualizer. The Mass Spec expert simply identifies data regions of interest in the AI-assisted “Data Canvas” and launches the AI App Builder.

AI modules behind the scene, create and test the AI model - no AI engineering required. To automate the entire AI pipeline, EI developed new AI technology to create models with Ultra Low Data requirements and train the network with reinforcement learning techniques. Unlike traditional AI techniques that require massive data sets, Ultra Low Data training of an accurate AI model can be accomplished with as few as 50 data points, opening AI to virtually any analysis.

To ensure ongoing quality of the AI inference results, EI created the EI Inference App to host the AI models. The EI Inference App continuously monitors the quality of the AI results to ensure inference accuracy.

A New Research Tool for Mass Spectrometry Analysis The new AI framework is designed for scientists such as chemists, biochemists, and materials scientists to directly create their own AI models for analysis. Examples of initial projects include a Mass Spec breathalyzer from Breathtech for Covid detection and identification of e-cigarette Brand and Flavor Classification with 99% and 98% accuracy, respectively.

The EI App Builder has also successfully been used to identify cancer cells (CTCs vs WBCs) in a research environment for blood cancer. Training in the Cloud With Cloud Portal or Local App Deployment EI’s App Builder runs in the AWS cloud as a SaaS service. In a SaaS model, the complexities of managing cloud storage and computing resources are handled entirely by the Expert Intelligence framework. From the latest GPUs to inexpensive CPUs, the virtually unlimited capability of the AWS cloud provides the capacity to handle any size analysis project.

Once a model is ready to release, the AI model is accessed through either the EI Inference Portal or, optionally, exported into the locally-hosted EI Inference App.