Build · SAS

Dompé industrialised AI model deployment for drug discovery on SAS Viya.

Dompé farmaceuticiBuildSASSAS ViyaSAS Model Studio

Dompé needed to develop, validate and deploy ML models across discovery with governance and trust. It used SAS Viya and Model Studio to move models from prototype to production in hours or days rather than weeks or months. The page says its ProfhEX platform covers about 1,000 predictive models across roughly 690 human targets, trained on over 5 million bioactivity measurements.

SAS is an analytics and AI software vendor, used across pharma, hospitals and medtech for clinical trial programming, prediction and decision support

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.

Source

Published by SAS on its own site — read the original case study on sas.com ↗