Category: Life Sciences

To our many customers and partners who work in Life Sciences, welcome to 2023, a year that I expect to be the turning point in how data science and machine learning (ML) accelerate development of new life-saving therapies. (I’ll share 2023 thoughts on Healthcare in an upcoming post.) The first reason I’m so optimistic is […]

Single cell RNA sequencing data has a growing role in disease research for finding both potential genetic factors and paths to new treatments. An important component of this process involves building maps of sequencing data with dimensionality reduction tools and querying specific subsets for visualization, but this can be slow due to the size of […]

Blog guest authored by Dr. Vedat Durmaz of Innophore In 2021, Innophore, a structural bioinformatics startup company aiming at computational enzyme and drug discovery, started the virus.watch project in cooperation with the AWS Diagnostic Development Initiative. The principal goal of this project is the implementation of a monitoring and evaluation system for emerging drug and […]

Data is at the heart of any modern pharmaceutical company throughout every stage of the value chain. Understandably, data is also central to industry regulations and continues to be one of the main topics during FDA inspections. However, questions still arise around how to meet data integrity requirements when operating in the cloud. Regulatory requirements […]

In recent years, cloud technology has been embraced as an enabler of value creation, helping improve enterprise resilience, innovation speed and scalability without the need for large capital expenditures and even reducing ongoing operational costs. Fortune 500 pharma and MedTech companies could gain by 2030, $10-15 billion in improved EBITDA run rates and $25-30 billion […]

U.S. policymakers have increasingly embraced the promise of cloud to discover new cures, accelerate biomedical innovation, and spur development of life-saving medical technologies. With the growing adoption of the cloud in life sciences, cloud use can help product developers and regulators get data more quickly and enable manufacturers to meet and exceed their compliance requirements. […]

Like businesses in any other industry, pharmaceutical companies compete with each other. Despite their individual races to the finish line, the mission is the same: develop and produce lifesaving and life-changing treatments that move medicine, and humanity, forward. The recognition of this mutual goal, and the potential of breaking down siloes to share information, has […]

Retrieving, processing, and analyzing electronic lab notebook (ELN) data is slow, costly, and labor intensive. AWS storage, databases, and artificial intelligence/machine learning services can significantly enhance knowledge retrieval speed, unlock unstructured ELN assets, facilitate building knowledge graphs, and form scalable and cost-effective processing pipelines. Introduction ELN is computer software heavily used in research settings (especially […]

Blog is guest authored by Chong Duan, Amey Kelekar, and Mary Kate Montgomery from Pfizer Echocardiography (echo) is an ultrasound-based, non-invasive imaging modality. Manual analysis of echo data is time consuming and susceptible to inter-reader variability. Pfizer has developed a fully automated analysis framework that significantly reduced analysis time by more than 92% using Amazon […]

re:Invent is an opportunity to dive into innovative technologies and explore new ideas, and for healthcare and life sciences (HCLS) organizations, it is the time to think about how to reinvent collaborations, improve data driven decision making, and drive new discoveries, all with the goal of improving patient outcomes. At re:Invent 2022, we continued our […]