Blog

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.

7 Emerging Trends in AI for Life Sciences and Healthcare in 2021

Here is what we see as the most valuable high-impact trends in AI/ML for life sciences and healthcare

5 Data Challenges Every Life Sciences and Healthcare Organization Must Solve to Build a Successful Data Science Mission

Five challenges and solutions critical to the success of Data Science in Healthcare and Life Sciences

IN THE NEWS: Innovation Map - Houston data science company expands pandemic-inspired research tool

“Mercury Data Science has taken a tool it originally developed for COVID-19 research and applied it into new areas of research and innovation.”

Feature Engineering: Mining Value From Your Data

Most data is raw and needs to be shaped into usable features that highlight signal and minimize noise. “Feature engineering” is the most important part of real-world data science, paving the path from raw data to valuable insights.

A Working Model is Only the Start of the ML Life Cycle

Why companies need to think ahead about infrastructure for data science.

Good Data Science: The Art of Being Skeptical, to Allow Room for Creativity

Domain and technical knowledge aren’t sufficient criteria when looking for your new data science hire. We have found that a better characterization of a data scientist’s innate potential is the way they balance creativity and skepticism.

How to Use AI to Extract Insights From Biomedical Literature

How to review and gain insights from the mountain of medical literature without reading it.

Mercury Data Science Announces COVID-19 Research Application

Accelerate hypothesis development with AI-driven insights from scientific literature.

It’s Not What You Say But How You Say It

We are constantly sending signals that communicate emotion, intent, and even underlying medical conditions.

Insights

Our take on the world of life sciences, data science, and technology.

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

7 Emerging Trends in AI for Life Sciences and Healthcare in 2021

5 Data Challenges Every Life Sciences and Healthcare Organization Must Solve to Build a Successful Data Science Mission

IN THE NEWS: Innovation Map - Houston data science company expands pandemic-inspired research tool

Feature Engineering: Mining Value From Your Data

A Working Model is Only the Start of the ML Life Cycle

Good Data Science: The Art of Being Skeptical, to Allow Room for Creativity

How to Use AI to Extract Insights From Biomedical Literature

Mercury Data Science Announces COVID-19 Research Application

It’s Not What You Say But How You Say It

Using Self-Report Survey Data to Predict Human Psychology is Tough