Subscribe for the Emerj "AI in Life Sciences Pulse" Newsletter

Leaders at some of the world's most respected Life Sciences organizations subscribe to Emerj:

Trending Life Sciences Podcast Episodes

Trending AI in Life Sciences Content

Emerj CEO Presented at the OECD's Symposium Artificial Intelligence for Science, Industry and Society

Emerj CEO Keynotes OECD’s Symposium on AI for Pharma R&D

Event Title: Symposium Artificial Intelligence for Science, Industry and Society

Artificial Intelligence in Life Sciences - Vendor Landscape and Use-Cases

Artificial Intelligence in Life Sciences – Vendor Landscape and Use-Cases

Life sciences companies are likely to begin experimenting further with AI in their workflows in the coming years, but they face challenges in AI adoption due to strict regulations. Machine learning has a "black box" problem, meaning that it's in many cases impossible to know how a machine learning algorithm comes to its conclusions.

Artificial Intelligence for Generic Drug Companies - Current Applications

Artificial Intelligence for Generic Drug Companies – Current Applications

Generic pharmaceuticals require less research and development than their brand name counterparts. As a result, AI applications for research and development don’t seem to be the most prominent solutions for generic drug companies. That said, despite the lack of precedence, there may be many areas in which AI could help generic drug companies.

Cover-1280×640

Artificial Intelligence for Clinical Trials in Pharma – Current Applications

AI applications for automating processes in clinical trials are among the most prominent AI applications for the pharmaceutical industry. AI vendors are currently offering software that allows pharmaceutical companies to leverage their scientists' notes for data science projects regarding their future trials. Additionally, there are some applications which help companies segment their customers into easily navigable groups when finding patients for clinical trials.

Artificial Intelligence for Pharmaceutical Research and Development

Artificial Intelligence for Pharmaceutical Research and Development

The facilitation of research and development (R&D) is perhaps the most common use case for AI applications in the pharmaceutical industry. There are numerous solutions for extracting and organizing research data from clinical trial notes and other medical documents. Additionally, there is software that can purportedly analyze data from images of drug compounds at the molecular level.

subscribe-image
Stay Ahead of the Machine Learning Curve

Join over 20,000 AI-focused business leaders and receive our latest AI research and trends delivered weekly.

Thanks for subscribing to the Emerj "AI Advantage" newsletter, check your email inbox for confirmation.