Tag: #lifesciences

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, […]

Advances in life sciences and healthcare IT have rapidly improved patient care and increased efficiency across the industry. As a result, life sciences and healthcare disaster recovery planning has become an even greater concern for medical providers, insurers, pharmaceutical companies, and other life sciences and healthcare-related organizations. They understand the importance of preventing data loss […]

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. The Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance in a cost-effective manner. Using AWS CloudFormation and AWS […]

Moderna is advancing messenger RNA (mRNA) science to create a new class of mRNA medicines designed to direct the patient’s own cells to produce proteins that have a therapeutic or preventive benefit. Developing therapeutics and vaccines for a variety of diseases challenges process development and operations to establish agile and flexible manufacturing, capable of executing […]

Life science industries are transitioning from wet lab environments to digital labs. Digital labs decrease the “time to science” and de-risk R&D portfolios. Customers see computational methods as a way to increase the performance, throughput, and effectiveness of laboratory operations. This presents opportunities around long-standing challenges with experiment reproducibility and the ability to address lab […]