Collaboration combines Lunit's AI expertise with Agilent's diagnostic leadership to revolutionize biomarker testing and enhance precision medicine capabilities
Lunit , a leading provider of AI for cancer diagnostics and therapeutics, and Agilent Technologies Inc. (NYSE: A), a global leader in life sciences, diagnostics, and applied chemical markets, today announced a nonexclusive collaboration to develop AI-based companion diagnostic solutions. The collaboration will leverage Lunit's AI technology and Agilent's expertise in tissue-based companion diagnostics to create advanced solutions that meet the demand of novel and complex biomarker assays in drug development.
The joint solutions will support pharmaceutical companies in companion diagnostic (CDx) product development, improving the precision and accuracy of biomarker testing, and ultimately benefiting patients with more tailored treatment options.
"Biomarker testing is at the heart of precision oncology, but today it is still largely dependent on manual interpretation," said Brandon Suh, CEO of Lunit. "By combining Agilent's global leadership in tissue-based diagnostics with Lunit's proven AI algorithms, we can help pharma partners bring biomarker-driven therapies to market faster and with greater confidence - ultimately ensuring patients receive the right treatment at the right time."
"Agilent is committed to bringing cutting-edge diagnostic solutions to our pharmaceutical partners and ultimately to patients, and this collaboration with Lunit further strengthens our ability to offer the most advanced companion diagnostic solutions available today," said Nina Green, vice-president and general manager of Agilent's Clinical Diagnostics Division at Agilent. "Through this collaboration with Lunit, we aim to deliver next-generation diagnostic tools that enable the advancement of precision medicine worldwide."
The collaboration will initially focus on the co-development of AI-powered assays for use in research and clinical trials. This agreement marks a significant step forward for both companies as they seek to redefine the role of artificial intelligence in precision oncology and translational medicine.
