Tag: #lifesciences

EVERSANA is a leading provider of commercial services to the life sciences industry. The organization is building generative artificial intelligence (AI) applications to help pharmaceutical organizations drive efficiencies and business value while improving patient outcomes. Scott Synder, chief digital officer at EVERSANA, recently spoke to Ujjwal Ratan, data science and ML leader for healthcare and […]

Cancer remains the leading cause of death from disease for children, with nearly 10,000 cases diagnosed each year and over 1,000 children dying annually in the United States alone. The most common solid tumors are brain tumors, with 4,000 children and adolescents diagnosed with a primary brain tumors each year. The White House’s re-ingited Cancer […]

Life Sciences companies are facing mounting pressure to reduce go-to-market time while retaining high quality standards in their products, labels, and leaflets. In such a demanding market that is prone to change, these companies need the right solutions to streamline their processes. Esko has been investing in R&D and working with key Life Sciences customers […]

Merck & Co., Inc., Rahway, NJ, USA, one of the largest pharmaceutical companies in the world, has been using generative artificial intelligence (generative AI) to push the borders of data science and analytics in life sciences. Harish Nankani, Associate Vice President, Data and Analytics, Merck, and Suman Giri, Executive Director, Data Science, Merck, recently spoke […]

Coriell Life Sciences uses the AWS Cloud to provide patients, physicians, and pharmacists insight into the safest, most effective medications based on an individual’s DNA and other factors. More than 131 million people—66% of all adults in the United States—use prescription medicines to manage health conditions, according to Georgetown’s Health Policy Institute. Utilization is highest […]

Shoaib Mufti, Head of Data and Technology at the Allen Institute for Brain Science, joins Lisa McFerrin, Worldwide Lead for Research, Discovery, and Translational Medicine at Amazon Web Services (AWS), to share how the Allen Institute is using the cloud to build the Brain Knowledge Platform (BKP) for the U.S. National Institutes of Health (NIH) […]

This blog is guest authored by Dr. Stefan Schmitz, lead product owner of Bayer’s cross-divisional data science platform, and Maciej Wroblewski, AWS architect from the Accenture Advanced Technology Center. Leading global life sciences organization Bayer has more than 150 years of history and expertise in health care and agriculture. To accelerate the adoption of advanced […]

From oncology research to drug discovery to point of care, the unified analysis of various forms of omics data is helping researchers and clinicians generate new insights and offer more personalized care. While the value of multi-omics is apparent, our healthcare and life sciences customers want better tools to get started, build applications, and scale up […]

Blog is guest authored by Don Freed and Brendan Gallagher from Sentieon. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Since 2014, AWS Partner Sentieon has been focused on developing highly-optimized algorithms for bioinformatics […]

Blog is guest authored by Maxim Mass, Rosi Bajari, and Bryan Lajoie from Element Biosciences. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Last year, Element Biosciences launched the AVITI benchtop sequencing instrument to […]