Novo Nordisk, Valo Health Using AI to Develop Treatments

The two companies will apply Valo’s Opal Computational Platform™ and real-world patient dataset to enable the discovery and creation of novel cardiometabolic drug programs.

Novo Nordisk Ai

Novo Nordisk and Valo Health have entered into an agreement to discover and develop novel treatments for cardiometabolic diseases based on Valo’s large human dataset and computation powered by artificial intelligence (AI).

The collaboration between the two organizations will leverage the capabilities of Valo’s Opal Computational Platform™ including access to real-world patient data, AI-enabled small molecule discovery, and Biowire® human tissue modeling platform designed to speed up the discovery and development process.

Valo’s preclinical capabilities enable identification and validation of novel druggable targets, as well as the development of drug candidates against these targets, and can help predict compound safety and efficacy.

In addition to target discovery and validation as part of the collaboration, Novo Nordisk is licensing three preclinical drug discovery programs in cardiovascular diseases discovered and developed by Valo using the Opal Computational Platform™.

Under the terms of the agreement, Valo will receive an upfront payment and a potential near-term milestone payment, totaling $60 million dollars, and is eligible to receive milestone payments for up to 11 programs, totaling up to $2.7 billion, plus R&D funding and potential royalty payments. The partnership between Novo Nordisk and Valo will leverage key joint capabilities in human data and genetics with a stronghold in cardiometabolic diseases.

Valo’s Opal Computational Platform™ is an integrated, end-to-end drug discovery and development platform with a unified architecture founded upon high-quality, proprietary and differentiated human-centric data and purpose-built AI. Opal is designed to enable a fully integrated, efficient approach for targeting and advancing product candidates, from understanding the underlying disease through regulatory approval.

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