Category: Healthcare

New AWS for Health Guidance: Multi-modal and Multi-omics The new era of personalized health relies on data to guide more customized patient treatments, therapeutics, and diagnoses. Genomics sits at the core of personalized health, and by taking into account the individual variability among people and diseases, clinicians can create more personalized care journeys and targeted treatments. […]

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 […]

Increasingly digital populations are demanding more from healthcare services. A recently published Deloitte survey of 2,000 Australians reports 70% willing to use virtual healthcare services, and 80% ready to share their health data in a digitally enabled health system. This behavioral shift is testing the limits of legacy healthcare systems; sending governments and healthcare organizations […]

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 […]

Blog Guest authored by Amey Rajput of the SmarTrust Business Unit at Tech Mahindra Having a trusted provenance for life saving drugs, like vaccines, is a must. Consumers today are more informed, active, and cautious. They question the authenticity of every product and service before buying or endorsing.  This has been amplified more so with […]

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 […]

Overview Industry 4.0 brought technology advancement in interconnectivity, automation, and analytics capabilities. This advancement coupled with Internet of Things (IoT) drives increased integration of instrument data in the cloud. As you start integrating IoT into the cloud infrastructure, there may be questions about IoT best practices and the GxP qualification process. The objective of this […]