Pfizer 在 AWS re:Invent 2023

Omada Health, a San Francisco-based healthcare startup, is using machine learning and a mobile-friendly app to help healthcare professionals provide informed care with maximally effective timing. The Omada Insights Lab, an internal data analysis engine that leverages over one billion proprietary data points from over half a million members’ real-world interactions with Omada Health programs to yield recommendations for optimizing and personalizing care. By migrating compute architecture to AWS, Omada Health could reduce overall computing costs by 30 percent.

Numerate, headquartered in San Francisco, is a computational drug design company that applies artificial intelligence and machine learning technologies at cloud scale to transform small-molecule-drug discovery.

Neumora Therapeutics leverages AWS to pioneer a computational psychiatry platform to advance its pipeline of novel therapeutics designed to restore balance to dysregulated brain circuits. They utilized a fully managed FSx for Lustre eliminated the operational storage overhead with their MRI workloads. The Amazon FSx is integrated with Amazon S3 orchestrated with Amazon Batch to provide an accelerated end-to-end data processing as well as seamless auto-scaling access to compute performance using Amazon EC2 instances. Neumora Therapeutics was able to process and visualize magnetic imaging data (MRI) at scale. They have increased their time-to-insight from weeks-to-hours (20x improvement) and Improved scalability and performance by 5x.

Using AWS, Karius uses genomics data and artificial intelligence to advance infectious disease diagnostics. By mapping a patient’s microbial landscape from a single, non-invasive blood draw, physicians can gain genomic insights to more quickly and accurately treat infectious diseases.