VIDA
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About
VIDA is a comprehensive clinical imaging intelligence platform that bridges the gap between complex medical imaging and actionable drug development data. The system leverages advanced artificial intelligence to provide precise quantitative endpoints for clinical trials, primarily focusing on respiratory diseases while expanding into cardiovascular and oncology sectors. By integrating AI-powered digital biomarkers into the clinical workflow, VIDA enables biopharmaceutical sponsors to achieve higher precision in their results, potentially saving significant costs and time during the drug development lifecycle. The platform is designed to manage the end-to-end imaging process, ensuring that data is both high-quality and regulatory-compliant. At its core, the VIDA Intelligence Platform is a cloud-native solution that orchestrates data from a global network of over 1,500 sites. Its primary functionality includes automated site onboarding, scanner certification, and ongoing proactive site support to maintain data integrity. The AI engine processes scans to produce up to 15,000 individual metrics per imaging scan, spanning over 50 specific biomarkers that measure airway, tissue, and vascular remodeling. This high level of quantification allows for a more granular understanding of lung function, such as ventilation and air trapping, which are critical for evaluating the efficacy of new respiratory treatments. The platform is ideally suited for clinical trial sponsors, contract research organizations, and life science researchers who require standardized, objective measurements of disease progression. It is particularly effective for trials involving chronic obstructive pulmonary disease (COPD), asthma, and interstitial lung disease (ILD). Beyond standard trial management, VIDA offers a Digital Biobank service that compiles imaging data, test results, and demographics. This allows researchers to discover early disease phenotypes, reveal patterns among responder cohorts, and even leverage data to simulate control arms or create digital twins, modernizing the approach to clinical trial design. VIDA distinguishes itself from generic medical imaging tools through its deep specialization in thoracic intelligence and its robust regulatory framework. The company's quality system is certified to the ISO 13485:2016 standard and complies with FDA Part 11 requirements, ensuring that all data meets the stringent security and privacy standards required for pharmaceutical R&D. Furthermore, VIDA employs a best-of-breed partnership strategy, integrating specialized AI tools for Xenon MRI and deep learning-based fibrosis scoring. This collaborative approach provides users with a broad spectrum of validated analysis tools within a single, unified workflow, making it a comprehensive choice for respiratory-focused clinical development.
Pros & Cons
Generates up to 15,000 individual metrics per scan for granular quantitative analysis.
Operates a global network of over 1,500 sites for large-scale clinical trials.
Certified to ISO 13485:2016 standards and compliant with FDA Part 11 for high regulatory trust.
Enables the creation of digital twins and external control arms through its Digital Biobank.
Specialized expertise in 50+ biomarkers for major respiratory diseases like COPD and ILD.
Service utility is primarily optimized for thoracic and respiratory clinical trials.
Lack of transparent public pricing requires potential users to contact sales for quotes.
Requires specialized site-onboarding and scanner certification which may take time to set up.
Use Cases
Clinical trial sponsors can automate site onboarding and scanner certification to ensure uniform imaging quality across global locations.
Pharmaceutical researchers can leverage the Digital Biobank to discover early disease phenotypes and identify potential therapeutic targets.
Respiratory scientists can utilize AI biomarkers to measure precise quantitative endpoints like airway and vascular remodeling in lung studies.
Trial orchestrators can manage multiple imaging sites through a single cloud platform to track performance metrics and site activity in real-time.
Life science companies can simulate control arms using legacy data to reduce the number of live patients required for a study.
Platform
Task
Features
• multi-omic data integration
• hipaa and fda part 11 compliance
• cloud-based site support
• quantitative respiratory analysis
• digital biobank repository
• site management and certification
• clinical trial imaging orchestration
• ai-powered digital biomarkers
FAQs
What therapeutic areas does VIDA support?
While the foundation is in respiratory diseases like COPD and asthma, the platform also supports cardiovascular and oncology trials. Its AI biomarkers are designed to be adaptable across various modalities and therapeutic areas.
Is the VIDA Intelligence Platform compliant with industry standards?
The platform follows rigorous security protocols and is HIPAA compliant. It also meets ISO 13485:2016 standards and FDA Part 11 requirements, using AES256-bit encryption for data security.
What is a Digital Biobank?
A Digital Biobank is a repository of longitudinal patient information, including imaging and demographics, used for research. It helps identify disease phenotypes and can be used to create digital twins or simulate control arms.
How many metrics can the AI generate from a single scan?
VIDA uses AI to generate up to 15,000 individual metrics from a single scan, covering over 50 different biomarkers. These quantify aspects like airway remodeling, tissue changes, and vascular lung function.
Does VIDA provide support for trial sites?
VIDA provides comprehensive site management that includes training and scanner certification. The platform also offers proactive site support to ensure data quality remains high throughout the clinical trial.
Pricing Plans
Enterprise Solutions
Unknown Price• AI-powered digital biomarkers
• Clinical trial orchestration
• Site training and scanner certification
• Digital Biobank access
• Regulatory compliance documentation
• Global site management
• AES256-bit data encryption
• Standardized imaging endpoints
Job Opportunities
Quality Assurance Administrator
Streamline clinical trials and accelerate drug approvals with AI-powered digital biomarkers and automated imaging data management for life science innovators.
Benefits:
Health insurance (medical, dental, vision)
Retirement planning (401k)
Paid time off
Education Requirements:
Bachelor’s Degree from recognized post-secondary institution, or an equivalent combination of education and experience.
Experience Requirements:
Minimum of 1 to 3 years’ experience in regulated industry (related experience may be considered)
Other Requirements:
Proficient in Microsoft Office, Adobe
Strong verbal, written, organizational, time management and interpersonal skills
Flexible and have an entrepreneurial mindset
Responsibilities:
Overall coordination of controlled documentation and managing the change order process
Administer trainings and follow through on completion
Facilitate the corrective action process and implementation of actions
Support external audits, including notified body, FDA, and customer audits
Schedule and perform internal audits, create audit plans and reports
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Medical Software Quality Analyst
Streamline clinical trials and accelerate drug approvals with AI-powered digital biomarkers and automated imaging data management for life science innovators.
Benefits:
Health insurance (medical, dental, vision)
Retirement planning (401k)
Paid time off
Education Requirements:
Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field
Experience Requirements:
Minimum of 3-5 years of experience in software quality assurance or quality engineering
Experience in the medical device or healthcare software industry
Project management experience (leading a team or project)
Experience with software medical device quality system validation practices
Experience in Agile/Scrum environments
Other Requirements:
Proficient in Python and Playwright
Knowledge of FDA, ISO 13485, and IEC 62304
Certification in software testing (e.g., ISTQB) is a plus
Knowledge of HIPAA compliance and data privacy regulations
Experience with medical imaging formats such as DICOM
Responsibilities:
Design, develop, and execute test plans and test cases for medical software
Develop manual and automated testing scenarios for AI model results
Ensure compliance with industry standards and regulatory guidelines (FDA, ISO 13485)
Prepare and maintain detailed test documentation and reports
Identify, document, and track software defects
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Software Engineering Manager
Streamline clinical trials and accelerate drug approvals with AI-powered digital biomarkers and automated imaging data management for life science innovators.
Benefits:
Health insurance (medical, dental, vision)
Retirement planning (401k)
Paid time off
Experience Requirements:
7+ years of experience building large-scale backend or distributed systems
2+ years managing or leading technical teams
Deep experience with cloud-native distributed architectures (AWS preferred)
Experience building or managing multi-tenant SaaS systems
Experience operating systems in compliance-sensitive environments (healthcare, finance)
Other Requirements:
Hands-on knowledge of event-driven systems (Kafka/Kinesis/PubSub)
Proficient in modern programming languages (Python, Go, Java, or similar)
Knowledge of distributed data storage (S3, RDS, DynamoDB, Delta Lake)
Experience with workflow orchestration frameworks
Flexible and have an entrepreneurial mindset
Responsibilities:
Lead, mentor, and develop a team of backend and platform engineers
Drive execution of critical platform initiatives like DICOM ingestion and data pipelines
Provide hands-on technical guidance in system design and cloud-native architecture
Work with Product Management to break down features into technical plans
Partner with Data Science/ML teams to support model training and inference workflows
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