Tag: #lifesciences

Introduction Training medical computer vision (CV) models requires a scalable compute and storage infrastructure. Training a medical CV model is unique compared to training a CV model in other domains, as we described in the first part of this blog series. In this second post, we show you how we scale a medical semantic segmentation training […]

Introduction Computer vision (CV) and machine learning (ML) has been playing an increasingly import role in the field of medical imaging and radiology in the past decade. CV is the field that uses computers and programs to replicate human vision abilities such as recognition, classification, detection and measurement. Thanks to the advancement of deep learning […]

At the 20th anniversary of the Bio-IT World Conference, held in Boston, in May 2022, AstraZeneca received the BioIT World Innovative Practice Award for its novel Augmented Drug Design Platform, built on AWS. Biopharma R&D productivity and success rates have been an industry-wide challenge, with the drug discovery process often compared to finding a needle in […]

At AWS, we often talk about the Art of What’s Possible. What would it look like to use machine learning and quantum compute to run advance protein folding algorithms? What would be possible if researchers could use high-performance compute to analyze and make Cryo-EM data accessible to the wider community? And the question that motivates us—what […]

Blog guest authored by Bo Barnhart, Vice President of Translational Research at AbCellera In February 2020, AbCellera mobilized its pandemic response platform to find treatments for COVID-19. Supported by Amazon Web Services (AWS), AbCellera discovered two antibody treatments, bamlanivimab and bebtelovimab, for COVID-19 in a year, breaking records to keep pace with an evolving pandemic. […]

Patients, caregivers, and providers all want better treatments, more equitable access to care, and ultimately healthier communities. Achieving these goals requires changing how we approach health and making it more personal by integrating genomics into therapeutic development, leveraging artificial intelligence (AI) and machine learning (ML) to guide and improve clinical workflows, and even incorporating social […]

Introduction Medical professionals require the latest in education and training in order to effectively care for patients. Healthcare simulation is a broad concept that healthcare professionals use for education, assessment, research, and health system integrations for helping with patient safety. In healthcare organizations, this often means creating advanced simulations designed to push clinicians and test […]

AWS brings together industry leaders to discuss creating a digital foundation for personalized health Patients, caregivers, and providers all want better treatments, more equitable access to care, and ultimately healthier communities. And that means personalizing how we look at health, from integrating genomics data into therapeutic development, to leveraging AI to improve clinician workflows, and […]

CliniOps offers a Data Science platform for the Life Science industry, to support digital Clinical trials, leveraging AI, mobile, analytics, cloud, sensors & connected devices. This novel Unified platform approach, with built-in Telemedicine, is custom designed for Patients, Sites and Sponsors, that ensures high data quality at less cost. The platform is also extremely flexible […]

Many patients have only recently received their first remote clinical encounter, as remote patient monitoring and telehealth become more popular. However, the healthcare and life sciences industry has been in pursuit of this for many years. Today, the costs of care are still increasing, and with the recent hazards of in-person visits due to COVID-19, […]