MyraEB Systems offers a cloud-based platform that automates data management and workflows in pharmaceutical operations, utilizing AI for precision trial design, predictive maintenance, and drug supply chain management. The platform addresses inefficiencies in drug development processes by providing modular software solutions that enhance data analysis and streamline clinical operations.
Funding
Funding not disclosed
Founders
Product
Problem
Pharmaceutical companies face challenges in optimizing drug development processes, including clinical trial design, manufacturing quality control, and supply chain management, leading to inefficiencies and increased costs. Traditional methods often lack the precision and predictive capabilities needed to streamline operations and improve outcomes.
Solution
MyraEB Systems offers DrugTX.AI, a cloud-based, AI-driven software suite designed to optimize drug discovery and development. The platform adopts a modular approach, providing distinct modules for clinical and medical operations, manufacturing and supply chain, and commercial aspects of drug development. These modules can be used as standalone tools or as a cohesive suite to enhance data analysis, streamline clinical operations, and improve overall efficiency. In addition, MyraEB Systems provides virtual reality (VR) based training programs for biomanufacturing and clinical/medical operations.
Target Audience
The primary target audience includes pharmaceutical companies, medical device manufacturers, and clinical research organizations seeking to improve efficiency and outcomes in drug development and manufacturing.
Features
- Precision Trial Design: Leverages historical clinical trials and machine learning (ML) for optimized design.
- AI-powered analysis of radiology reports for enhanced scan analysis.
- Patient Phenotyping: Employs disease baseline clustering for accurate patient characterization.
- AI Assistance in Enrollment Criteria: Streamlines participant selection through AI algorithms.
- Endpoint Selection: Strategically defines trial endpoints for optimal outcomes.
- AI for Data Analysis in Manufacturing: Anomaly Detection, Trend Analysis, Optimization, and Data Fusion.
- Predictive maintenance: Pump failure prediction, equipment maintenance, and filter replacement prediction.
- Quality Control: Visual Inspection, Stability Data Analysis, and Assay Reviews.
- Drug Supply Chain Management: Drug Supply Planning, Shipment Management, and Inventory Management.
- Forecasting and Launch Planning: Systems Dynamic Model (AI-Based) for commercial operations.
- VR-based training programs for biomanufacturing and clinical/medical operations.