In recent times, the buzz surrounding ChatGPT, a powerful language model, has captured everyone's imagination. While use cases continue to surface for many industries, the potential for Life Sciences remains to be fully explored. The field of Life Sciences presents a unique and complex landscape with its own set of opportunities.
Mercury Data Science + Janssen abstract publication at the American College of Neuropsychopharmacology 61st Annual Meeting
Trying to extract usable insights from the world’s biomedical knowledge can be like trying to escape from a black hole - how can we unlock the potential?
Many organizations have valuable unstructured data that they fail to use - learn how NLP can extract hidden meaning, uncover relationships, and improve 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.
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.