Category: Life Sciences

AWS HealthImaging is a new HIPAA-eligible service for storing, analyzing, and sharing medical imaging data securely in the cloud. CitiusTech developed a solution leveraging AWS services like HealthImaging to automate ingesting DICOM data. It scans for malware, validates DICOM files, copies clean images to HealthImaging for storage, and notifies users. Healthcare providers can easily migrate imaging workloads to realize improved accessibility and cost-efficiency.

While healthcare organizations understand the importance of patient data, there’s no efficient framework for secure sharing. Many retain data rather than risk exposure, resulting in siloed, inaccessible information. Oncoshot built a federated AWS platform on AWS that enables secure data exchange, connects experts with real-time patient insights to accelerate trial enrollment, and expedites potentially life-saving therapies without exposing patient data.

MemVerge Memory Machine Cloud (MMCloud) enables running bioinformatics pipelines cost-effectively on Amazon EC2 Spot instances. It seamlessly integrates with Nextflow pipelines through the nf-float plugin and simplifies migrating on-premises pipelines to the AWS cloud. Learn how Columbia University and MDI Biological Laboratory leveraged MMCloud to run intensive genomic analyses at 50-80% lower cost by utilizing spot instances.

Verana Health leverages an exclusive real-world data network and AI-enhanced data engine to transform healthcare data into curated, disease-specific data modules called Qdata. This powers Verana’s analytics solutions for real-world evidence generation, clinical trials, quality reporting, and registry data management to enhance patient care and quality of life. Through AWS Data Exchange and Amazon Redshift, Verana offers life sciences customers easy, convenient access to high-quality clinical real-world data for research.

Avahi Technologies and AWS teamed with biotech startup WittGen to develop a scalable cloud-based AI platform that profiles cancer tumors. This helps researchers analyze heterogeneity to improve treatment outcomes. Avahi provided expertise to architect the secure AWS environment and machine learning backend needed to quickly launch WittGen’s SaaS service. The solution enhances performance and compliance for the platform that parses patient genomic data to empower clinicians fighting cancer.

Traditional preventive measures mainly focus on promotion of healthcare benefits and lack methods to process huge amounts of data. Cognizant’s Patient Health Insights Suite is a cloud-based, multi-user analytics and insights platform for clinical and real-world evidence data. It provides a suite of interactive self-service applications for comprehensive visual, exploratory, and predictive/prescriptive analyses of patient care and health insights by means of advanced AI algorithms.

In the healthcare and life sciences (HCLS) sector, companies are required to strictly comply with regulatory statutes. It’s crucial to ensure products and services are not just developed but also manufactured and distributed in accordance with the most stringent standards. Learn how Provectus aided PSC Biotech in integrating AI/ML and automation into the document processing pipeline, a critical step towards achieving its objective of delivering the highest standard of regulatory compliance services.

Change Healthcare collaborated with the innovation teams at AWS to develop Drug Analyzer, a commercial launch application powered by AWS. The application is built on Change Healthcare’s Data Science as a Service (DSaaS) platform, a security-enabled analytic cloud service that enables persistent compliance monitoring and highly customizable analytics capabilities. Drug Analyzer provides life sciences organizations with data insights that inform treatment decisions and support the development of new therapies.

For pharma leaders, medtech, and health tech innovators alike, the vision of connected health hinges on organizations’ ability to stay in tune with healthcare players’ preferences, perceptions, and expectations. Doing so helps companies create seamless customer pathways and proactively model, predict, and respond to the many outcomes of a changing healthcare landscape. Learn how ZS collaborated with AWS to build an intelligent life sciences platform called ZAIDYN.

Healthcare data is complex and full of sensitive information, which makes it challenging to share or utilize for a unified patient view. Solutions like the Patient 360 healthcare framework powered by Apexon Healthcare Data Analytics Platform (HDAP) consolidates patient and member data across the care delivery system to provide a unified view of the patient, facilitating better outreach and improved health outcomes.