Many organizations have valuable unstructured data that they fail to utilize effectively. Using NLP, hidden meaning can be extracted from fragments of text to provide order to your data, uncover relationships in the data that were previously hidden, and create more predictive ML models.
HOUSTON, Texas, July 12 -- Mercury Data Science (MDS), an AI solutions consultancy focused on life sciences and healthcare, announces that the company has appointed Angela Holmes as the company's Chief Executive Officer. Holmes takes over from Dan Watkins who will remain on the board of directors and become MDS’s Chief Strategy Officer.
Read our top three use cases on the integration of AI video analytics to significantly raise the value of both Telemedicine-based care and Distributed Clinical Trials.
Harnessing the power of AI/ML has the potential to transform health tech and medical device companies by providing better outcomes, better patient and provider satisfaction and engagement, and better insight into product performance and real world evidence.
Newly published research provides a valuable method that may be useful for designing unique, functional proteins for therapeutic and diagnostic applications.
Major cloud service providers offer off-the-shelf emotion prediction APIs, but accuracy and interpretability often fail to meet the needs of our clients. Read how our team developed a new approach to predict emotions from video. Here we describe the model building process, its current performance, and future considerations.
Learn about the approach and impact of the model we built to predict skin tone from face images and videos using a unique combination of computer vision and machine learning to help organizations monitor for racial biases in large datasets.
Here is what we see as the most valuable high-impact trends in AI/ML for life sciences and healthcare
Five challenges and solutions critical to the success of Data Science in Healthcare and Life Sciences
“Mercury Data Science has taken a tool it originally developed for COVID-19 research and applied it into new areas of research and innovation.”