Certified GenAI in Healthcare & Biotech (CGAI-HB) Certification Program by Tonex
The CGAI-HB program equips professionals to build, govern, and secure GenAI across clinical, research, and biotech pipelines. It is the only program that unites biomedical AI depth with GenAI compliance mastery. Participants learn to translate omics and clinical data into safe, auditable GenAI workflows for discovery, diagnostics, and decision support. The curriculum covers FDA, HIPAA, and international guidance for AI/ML-enabled products, including lifecycle controls and evidence generation.
We emphasize cybersecurity at every layer: protecting PHI, countering prompt injection and data exfiltration, hardening model supply chains, and preventing IP leakage in collaborative R&D. You will practice risk assessment, bias mitigation, documentation traceability, and continuous monitoring aligned with quality systems.
By the end, you can design compliant GenAI architectures, justify clinical validity, and operate secure ML pipelines in regulated environments. You will also be ready to defend biotech IP against model inversion and unauthorized use, while ensuring fairness and patient safety. Clear, practical frameworks help you align innovation with governance, so GenAI advances improve outcomes without compromising trust, privacy, or safety.
Learning Objectives:
- Apply GenAI to clinical and biotech use cases
- Align GenAI with FDA, HIPAA, and GxP expectations
- Design secure, privacy-preserving AI pipelines
- Detect and mitigate bias in clinical AI
- Build audit-ready documentation and evidence
- Protect biotech IP and data assets
Audience:
- Data Scientists and ML Engineers
- Clinical Researchers and Biostatisticians
- Regulatory and Quality Professionals
- Product and Engineering Leaders
- Cybersecurity Professionals
- Healthcare IT and Compliance Teams
Program Modules:
Module 1: GenAI Foundations for Health & Bio
- Clinical NLP and multimodal modeling
- RAG for EHRs and knowledge graphs
- Data provenance and lineage controls
- Prompt engineering with guardrails
- Evaluation for safety and utility
- Secure deployment patterns
Module 2: Drug Discovery & Personalized Medicine
- Generative molecule and target design
- Structure–activity prediction workflows
- Omics-driven patient stratification
- AI-assisted trial design inputs
- PK/PD modeling with ML methods
- Real-world evidence integration
Module 3: Bias, Fairness & Patient Safety
- Dataset audits and cohort balance
- Bias metrics and error analysis
- Counterfactual and subgroup testing
- Drift detection and alerting
- Harm taxonomies and safety cases
- Fairness reporting and remediation
Module 4: AI in FDA-Regulated Devices
- SaMD concepts and scope
- GMLP and quality system alignment
- 510(k)/De Novo considerations for ML
- Predetermined change control plans
- Real-world performance monitoring
- Traceability and technical files
Module 5: Security, Privacy & IP Protection
- Threats: prompt injection, exfiltration
- PHI minimization and de-identification
- Access control and key management
- Model/IP leakage and inversion risks
- Watermarking and content provenance
- Secure MLOps in regulated settings
Module 6: Governance, Risk & Assurance
- Risk registers and control mapping
- Model lifecycle and versioning gates
- Evidence packages and audit trails
- Vendor and third-party risk reviews
- Incident response and disclosure
- KPI dashboards and continuous compliance
Exam Domains:
- Regulatory Science for GenAI
- Clinical Evidence & Validation Strategy
- Secure GenAI Operations in Healthcare
- Ethics, Fairness, and Patient Safety
- Biotech IP, Data Rights, and Licensing
- Governance, Audit, and Continuous Compliance
Course Delivery:
The course is delivered through lectures, interactive discussions, hands-on workshops, and project-based learning led by Tonex experts in Certified GenAI in Healthcare & Biotech (CGAI-HB). Participants access online resources, readings, case studies, and tools for practical exercises.
Assessment and Certification:
Participants are assessed via quizzes, assignments, and a capstone project. Upon successful completion, graduates receive the Tonex Certified GenAI in Healthcare & Biotech (CGAI-HB) certificate.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified GenAI in Healthcare & Biotech (CGAI-HB) Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to lead safe, compliant GenAI in health and biotech? Enroll with Tonex today. Bring your use case, leave with a deployable, audit-ready plan.