Data is a fundamental asset for healthcare and life science organizations, with the success of many future initiatives depending on how effectively meaningful insights can be extracted from that data.
Virtusa’s vLife platform offers an AI-powered, integrated solution that is designed to help organizations derive valuable outcomes and insights from data, images, and videos. With capabilities like synthetic data generation tools, computer vision, and platform AI, vLife accelerates the process of turning raw data into actionable insights.
This platform is available to clients looking to harness and optimize data for various purposes, including research and development (R&D), data science advancements, early-stage research, population health management, and insights for sales and marketing.
How Does vLife Provide Value?
Historically, AI and machine learning (AI/ML) have been limited in their scope of application, often confined to experimental projects in isolated departments. However, these technologies are capable of adding value across entire organizations when applied effectively. vLife offers a comprehensive and structured approach, enabling clients to scale AI/ML from small-scale experimentation to broader, organization-wide deployment.
Machine Learning Operations (ML Ops) is becoming increasingly relevant for many clients, as they seek to operationalize their ML and deep learning models. vLife supports these efforts with a variety of techniques, such as Data Shapley, multiaccuracy, and cPCA, to help monitor and measure ML workloads. These features enable clients to continuously refine models and establish retraining strategies while automating deployment processes that are independent of specific cloud providers.
Additionally, the platform provides a range of tools, accelerators, and methodologies aimed at speeding up deep learning initiatives. These include technologies like GAN-based image synthesis, transfer learning, and multiaccuracy, which help data scientists address challenges in model training. By offering these resources, vLife allows organizations to do more with less, empowering data scientists to maximize their productivity while improving the accuracy and reliability of AI-driven models.
One of the key benefits of vLife is its ability to tackle the issue of high-fidelity data for Real-World Evidence (RWE) models, which are critical for addressing population health challenges. Through various approaches for synthetic data generation, including techniques for synthesizing EMR and image data, vLife ensures that organizations can access the quality data they need for effective decision-making.
Genomics on vLife
vLife also features a dedicated server with applications and tools specifically designed for genomics research, particularly for working with FASTA file formats. These tools offer several vital functions, including:
- DNA to RNA Transcriber: This function converts DNA sequences into their corresponding RNA sequences by transcribing the input data. This process can be useful for identifying new disease mechanisms, predicting druggable pathways, and making genetic diagnoses. The tool reads each nucleotide in the DNA sequence and converts all ‘T’ bases to ‘U’ to simulate transcription.
- Reverse Complement of DNA: This feature generates both the reverse and complementary DNA sequences by swapping base pairs (A with T, and C with G). The reverse complement strand is crucial for identifying open reading frames (ORFs), which can help in gene prediction and identifying protein-coding regions.
- GC Content Calculator: GC content, or the percentage of guanine and cytosine in a DNA or RNA sequence, plays a key role in DNA stability and is crucial for determining annealing temperatures in PCR experiments. The tool calculates the GC content by determining the percentage of ‘G’ and ‘C’ bases within the total length of the sequence.
- RNA to Protein Translator: The RNA sequence is read and translated into protein sequences based on a predefined amino acid dictionary. This translator helps researchers identify proteins and explore biological patterns in genomic data. The dictionary can be updated as new protein information becomes available.
- Sequence Motif Finder: This tool identifies specific motifs, or patterns, within a genome sequence by searching for exact matches. It returns the starting locations of all occurrences of the input motif, aiding in the discovery of functional elements within the genome.
vLife Recognition
vLife has gained significant recognition for its innovations in healthcare and life sciences. Various press releases and media outlets have highlighted the platform’s contributions to improving data utilization in healthcare. By enabling advanced data science capabilities and providing cutting-edge tools for genomics, vLife continues to help organizations drive scientific and operational breakthroughs.
https://www.virtusa.com/news-room/press-releases/year_2019/September/11540051869
https://www.virtusa.com/news-room/press-releases/year_2018/November/11540051424
About the author:
Poornima Jaychandran, an accomplished and self-motivated architect with Virtusa specializing in big data, cloud, and analytics platforms is the contributor of this article and has worked on the vLife actively. Her career has been marked by a strong focus on research and analysis, project operations, software development, and training, with extensive experience in leading teams through complex technical challenges. Poornima’s technical expertise spans across a wide range of tools and technologies, including Hadoop ecosystems, cloud platforms (AWS, GCP), AL/ML and database systems (SQL, NoSQL). She has consistently delivered high-quality technical solutions by working collaboratively with agile teams, understanding business domains, and aligning technical strategies for various products in Virtusa.
https://www.linkedin.com/in/poornima-jaychandran/
