Mosaic leverages innovative ML tools and techniques to drive innovation across the Life Sciences industry. Mosaic has specific expertise in optimizing the production & supply chain processes, improving trial forecasting & operations, leveraging innovative graph neural-network architectures for drug discovery and precision medicine, deploying deep learning to IoT streams to drive critical insights, and creative data-driven approaches to legacy trend forecasting & sales/marketing applications.
Mosaic worked with a vet tech company to develop an encompassing pet wellness score and early disease-identification models using an AI-driven collar device that collects pet behavioral information and reports health insights to the owner’s app using IoT and sensor data techniques.
Mosaic has been working with a leading pet Biotech company on integrating machine learning into the organization’s products, giving pet owners more visibility into the quality of life their pets have by identifying genetic traits that may impact their health or behavior.
Graph analytics is a classic network science technique that is making waves due to the advancements in Graph Database Technology (GDB) and the integration of machine learning techniques (i.e., neural networks), to solve a wide range of use cases. No need for a map to figure this one out – Principal Data Scientist, Daniel Salazar is giving us the full scoop as our guide.
Given a set of nodes & connections, which can abstract anything from transportation networks, connections between customers, knowledge graphs, or molecular structures to computer data, graph analytics provide a helpful tool to quantify & simplify the many moving parts of dynamic systems.
Summary Our white paper explores the processes and opportunities presented by NLP for social media in extracting valuable data to drive improved operational and strategic decisions for R&D efforts. Natural language processing (NLP) is one of the most promising social media data processing avenues. It is a scientific challenge to Read more…
Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.
In this Q&A, we sat with Principal Data Scientist Priya Karanth for her take on the latest innovations and most powerful applications behind the ever-changing landscape of computer vision. Let’s see what lies beyond the surface.
We sat down with Senior Data Scientist Alex Tennant for his perspective on the opportunities and complexities of NLP and how Mosaic is paving the way for the consistent evolution of this powerful technology.
Network science and simulation provide a robust framework for the study of network systems in all their complexity.
Contextual search can be labeled as a search capability that focuses on the context of the user-generated query including the original intent of the user to show the most relevant set of results. It is quite different than traditional search technologies which focus only on keyword matching.