Improve the performance of industry standard emotion detection models on people of color.
Use churn models to guide targeted retention strategies.
Natural language processing (NLP) to extract relationships and themes from the evolving COVID-19 scientific literature
A better way to assess patients with depression and anxiety for a company bringing new therapeutics to market for neurobehavioral disorders
Support discovery of targets to increase yield and resilience of important, staple food crops using a scalable AI platform.
Design and build a realtime gaze tracking application to assess cognitive performance in dementia, concussion, and intoxication patient cohorts
Analyze proteomics data to determine the MOA of a novel drug candidate that showed promise in in-vitro and in-vivo studies
Evaluate large libraries of therapeutic candidates against published literature, patents and clinical trials to prioritize the best targets for drug development
Machine learning to maximize signal from noise to differentiate normal vs malignant tissue
Automatically evaluate which MRI scans can be used for subsequent analysis and modeling
Integrate public proteomic data to enhance and validate antibody screening results
Determine the MOA of a new drug lead to support the development of AI drug discovery techniques to identify similar compounds
Create a strategy to build a data engineering team to support a biotech company's rapid growth.
We are a mission driven team of data science experts partnering with our clients to build AI solutions to improve healthcare, enhance discoveries, and enable data-driven decisions.
3737 Buffalo Speedway #1750, Houston, TX 77098, USA