Data Sciences

nSight Labs has extensive applied data science expertise in healthcare and life sciences supporting the following use cases:

• Optimizing Clinical Data Management & Accelerating Clinical Trials Data Preparation
• Precision Study Participant Matching
• In-Silico Rx & Vx target identification
• Optokinetics Analysis & Disease Classification
• Core Body Temperature & Ph-Level Monitoring and Disease Classification
• Microservice, API, and MLOPs Pipeline-driven AI Solutions
• Patient Risk-Based Monitoring Solutions
• Synthesized Pheno-Geno & Clinical Genomics / Variant data sets for study simulations
• COPD Risk Prediction
• Protein Trajectory Predictions with Molecular Dynamic Simulations
• GPU and FPGA Accelerated Genomic Data Analysis
• Patient / Subject Stratification and Segmentation Clustering and Classification
• Rapid Patient Decline Prediction