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Understanding Digital Biomarkers in Life Sciences for Biotech and Pharma

In this post we explore digital biomarkers, their advantages and challenges, and use cases for life science companies that want to maintain their competitive edge and lead innovation.

Unleash the Potential of Large Language Models (LLMs) in Life Sciences

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.

ANCP poster abstract publication with Janssen

Mercury Data Science + Janssen abstract publication at the American College of Neuropsychopharmacology 61st Annual Meeting

Extract Intelligence from the Biomedical Black Hole to Accelerate Discovery

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?

Natural Language Processing in Life Sciences and Healthcare: Create more predictive ML models

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.

Mercury Data Science Appoints Angela Holmes as CEO

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.

The Case for Video AI in Telemedicine

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.

AI/ML for Health Tech and Medical Devices: Invest Early in Data Science Infrastructure to Create Competitive Advantage

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.

Designing Novel Proteins with Deep Hallucination

Newly published research provides a valuable method that may be useful for designing unique, functional proteins for therapeutic and diagnostic applications.

A Better Facial Emotion Recognition Model

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.

Eliminating Racial Bias in AI/ML: Solving the Training Data Problem

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.

Our take on the world of Life Sciences and Data Science.

Understanding Digital Biomarkers in Life Sciences for Biotech and Pharma

Unleash the Potential of Large Language Models (LLMs) in Life Sciences

ANCP poster abstract publication with Janssen

Extract Intelligence from the Biomedical Black Hole to Accelerate Discovery

Natural Language Processing in Life Sciences and Healthcare: Create more predictive ML models

Mercury Data Science Appoints Angela Holmes as CEO

The Case for Video AI in Telemedicine

AI/ML for Health Tech and Medical Devices: Invest Early in Data Science Infrastructure to Create Competitive Advantage

Designing Novel Proteins with Deep Hallucination

A Better Facial Emotion Recognition Model

Eliminating Racial Bias in AI/ML: Solving the Training Data Problem