GATC Health Corp chooses Syndi Health to accelerate artificial intelligence training and advance personalized medicine - AITechTrend
GATC Health Corp chooses Syndi Health

GATC Health Corp chooses Syndi Health to accelerate artificial intelligence training and advance personalized medicine

Syndi Health and GATC Health Corp today announced they have entered a development agreement, which could accelerate GATC Health’s product development and publication release timelines by as much as 50 percent. Syndi Health is a UK-based developer of a digital health platform that aims to improve the way we measure and manage our health. US-based GATC Health Corp utilizes proprietary artificial intelligence to advance personalized, predictive medicine.

“The team at Syndi has advanced data review and analysis capabilities that complement our technology,” noted Ian Jenkins, chief scientific officer with GATC Health. “Those skills, combined with their access to unique and extensive datasets particular to our goals, makes Syndi the obvious choice as a partner to enhance our AI training. This relationship with Syndi supports GATC Health’s best-in-class multiomic data to advance our disease detection and treatment development initiatives, particularly for our diabetes and heart health programs.”

GATC Health’s mission is to detect diseases earlier with greater accuracy and to help develop safer, more effective drugs. The company accomplishes these goals utilizing its proprietary artificial intelligence platform, which “thinks” like human biology. Analyzing billions of complex interactions in minutes, GATC Health helps its partners achieve their goals faster, more cost-effectively, and with greater accuracy.

“We are very pleased that GATC Health, a company that we believe is at the forefront of disease detection and drug discovery, has chosen Syndi’s platform for their data analytics needs,” stated Ben Lakey, co-founder and chief executive officer of Syndi. “We are excited to offer our technology to contribute to their groundbreaking work in personalized, predictive medicine.”