vLife® is Virtusa's proprietary healthcare and life sciences marketplace designed for data scientists and organizations handling extensive healthcare data. This self-service portal offers payers, providers, biopharmaceutical companies, and medical device manufacturers access to industry-specific solutions built on comprehensive journey maps. These solutions encompass pre-trained machine learning models, code snippets, tools, and accelerators tailored to the unique needs of the healthcare and life sciences sectors. Key Features and Functionality: - Pre-Trained ML Models: Access a repository of nearly 1,000 AI artifacts, enabling the development of customized ML models aligned with organizational priorities and budgets. - Synthetic Data Generation: Utilize vNet, a solution within vLife®, to generate high-fidelity synthetic tabular and image data, facilitating ML model training even when real-world data is scarce. - No-Code/Low-Code Platforms: Employ intuitive platforms like Computer Vision and Faster AI to build, train, deploy, and optimize ML models without extensive coding, enhancing efficiency and reducing operational costs. - Comprehensive Service Line Offerings: Explore solutions categorized into specific service lines, including Biopharma , Payer Services , MedTech , and Provider Services . Primary Value and Problem Solved: vLife® addresses the challenge of integrating and leveraging vast amounts of healthcare data by providing a unified platform equipped with AI and ML tools. By offering pre-built models and synthetic data generation capabilities, it accelerates the development and deployment of AI-driven solutions, leading to improved patient outcomes and operational efficiencies. The platform's no-code/low-code interfaces democratize AI adoption, enabling organizations to implement advanced analytics without requiring extensive technical expertise. Ultimately, vLife® empowers healthcare and life sciences entities to harness the full potential of their data, driving innovation and personalized care delivery.