Tag: #healthcare

Vignesh Shetty, Senior Vice President and General Manager of Edison AI & Platform at GE Healthcare, joins Taha Kass-Hout, MD, MS Vice President and Chief Medical Officer at Amazon Web Services (AWS), to discuss strategies for building a modern data strategy to fuel innovation and improve patient care. GE Healthcare provides medical technology, pharmaceutical diagnostics, […]

Securely sharing clinical research data with collaborators and efficiently managing data access is a recurring challenge that clinical research teams face. Amazon S3 Access Points enable clinical researchers and healthcare IT teams to efficiently create, share, and maintain scalable access to clinical data in a shared Amazon S3 bucket at the individual user level. Introduction […]

Population genomics initiatives amass a multitude of clinical, omics, and phenotypic data from diverse participants. This data is critical to a range of healthcare use cases, including biomarker discovery, drug repurposing, patient stratification, and precision medicine. However, strict data security and regulatory frameworks often make large-scale data migration unfeasible, creating a fragmented data landscape that […]

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 […]

re:MARS is back! This year, re:MARS is happening in person from Las Vegas, NV from June 21-24, delivering cutting edge talks, demos, workshops, and networking opportunities, as well as a rich on-demand option for virtual attendees. The event is offering 100+ sessions spanning Machine Learning, Automation, Robotics, and Space tracks, with six of them focused […]

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 […]

Across the healthcare industry, organizations are increasingly turning to AI- and ML-enabled technologies to not only streamline and optimize processes, but also improve clinical outcomes and patient experiences. For those considering these technologies, the choices in the market can be confusing, which is why KLAS recently published AWS in Healthcare 2022: A deeper look at […]

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 […]

Shawn Henry, President of CrowdStrike Services & Chief Security Officer at CrowdStrike, joins Phoebe Yang of Amazon Web Services (AWS) to discuss cyber risk assessment and business-level implementation of security strategies in healthcare and beyond. CrowdStrike, an Austin-based cybersecurity technology company, offers the first cloud-native security platform that includes threat intelligence and incident response services […]