AI Models Enhance the Drug Discovery Portfolio
Machine learning models driven by large-scale data continue to power diverse therapeutic modalities.
A Retro Biosciences scientist uses microfluidic technology to precisely study individual cells, as the company is developing therapies for reversing age-related dysfunction.
“We can’t rely only on machine learning models trained on text-based data to solve the world’s most challenging problems. The cure for cancer is not written in Wikipedia,”
said Arman Zaribafiyan, PhD, head of product, AI simulation and platforms, at SandboxAQ, a spinout from Alphabet, seeking to advance large quantitative models (LQMs) for positive impact on society, including drug discovery applications.
Author summary: AI enhances drug discovery with large-scale data models.
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