Saama Named “Best AI-Based Solution for Life Sciences” in 2024 Artificial Intelligence Breakthrough Awards Program

Saama Named “Best AI-Based Solution for Life Sciences” in 2024 Artificial Intelligence Breakthrough Awards Program

Saama has been named the “Best AI-Based Solution for Life Sciences” in the seventh annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.

The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work, and success in a range of AI and machine learning related categories. These categories include Generative AI, Computer Vision, AIOps, Deep Learning, Robotics, Natural Language Processing, industry specific AI applications and more. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world.

“Saama is changing the way drug development is conducted and the speed at which new

treatments get to patients,” said Steve Johansson, Managing Director, AI Breakthrough. “They win ‘Best AI-based Solution for Life Sciences’ for their use of AI and advanced analytics in key clinical development processes to eliminate resource-intensive activities, allowing life science organizations to optimize productivity and gain deeper insights into patient behavior and their real-time response to treatments.”

“With Saama’s platform, we have created the foundation to support clinical trials in a

scalable and collaborative way for the pharmaceutical industry. We’re grateful for this honor from AI Breakthrough as we strive to drive efficiencies that can dramatically accelerate the time to market for novel treatments,” said Lisa Moneymaker, CTO/CPO, Saama. “We will continue to build cutting-edge technologies as part of our platform so that drug developers can seamlessly integrate them directly into their existing technology stack, benefitting their teams and ultimately their patients.”

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