AWS for Industries

Category: Advanced (300)

Building a GPU-enabled CryoEM workflow on AWS

Cryo-electron microscopy (CryoEM) of non-crystalline single particles is a biophysical technique that can be used to determine the structure of biological macromolecules and assemblies. The technique is rapidly becoming the go-to technique in the life-sciences drug discovery process for understanding protein structure. Processing data/images coming from a CryoEM microscope demands a scalable storage for large datasets (median […]

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Predict patient health outcomes using OHDSI and machine learning on AWS

Build a machine learning model to predict the likelihood of stroke in a patient with newly diagnosed atrial fibrillation In healthcare, patient outcome prediction is a critical step in improving the effectiveness of care delivery while reducing its overall cost.  Being able to accurately forecast what will happen next to patients, at scale, is key […]

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A Travel Tech CEO’s journey from cloud skeptic to evangelist

As CEO of 3Victors, a travel big data AI startup, who spent the better part of his career solving tricky digital problems by tuning software to squeeze maximum performance from racks of bare metal computers, I was more than a bit skeptical of cloud computing. First, let me provide a little insight into my company […]

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Achieve Healthcare Interoperability by integrating Amazon Comprehend Medical with FHIR

Healthcare interoperability is a major initiative across all stakeholders of the healthcare ecosystem, and the Fast Healthcare Interoperability Resources (FHIR) standard has opened the doors for a modern approach to sharing such information. I have frequently heard from healthcare customers that they want to make a difference in patients’ lives by sharing the most relevant […]

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Building the foundation for Lab of the Future using AWS

Life science industries are transitioning from wet lab environments to digital labs. Digital labs decrease the “time to science” and de-risk R&D portfolios. Customers see computational methods as a way to increase the performance, throughput, and effectiveness of laboratory operations. This presents opportunities around long-standing challenges with experiment reproducibility and the ability to address lab […]

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