Featured
AiPrio
Automated prioritization of safety signals, reducing manual triage time by 40%.
Flask · Gemini · Data Viz
Launch ProjectAI & Healthcare Architect · SFDA
The next layer of Regulatory Intelligence
Building compliant AI systems for drug safety, regulatory affairs, and national-scale healthcare transformation.
Dr. Mohammed Fouda
Director & AI Lead, SFDA
Leading national drug safety efforts while driving digital transformation with AI. Building production systems regulators use daily.
0
AI Tools
0+
Publications
0
Years
//01 Mission
Compliance & Code
I wear two hats at SFDA: Director of the Medication Error Department, where I lead the national effort to prevent look-alike drug packaging from harming patients, and Head of the AI Team, Drug Sector, where I drive digital transformation with a 15+ person multidisciplinary team.
My path is uncommon: PharmD from MCPHS Boston, a Master's in Applied AI, and now pursuing a PhD in Computing. I don't just advise on AI in healthcare—I build the production systems regulators use daily.
Technology Stack
Selected Publications
Signal Detection at SFDA: A Comprehensive Analysis of Current Practices and Future Directions ↗
Peer-reviewed research · Journal of Evaluation in Clinical Practice · 31(3):e70062 · 2025
Descriptive Study of Adverse Drug Reaction Patterns with Antineoplastic and Immunomodulating Agents Reported to the National Pharmacovigilance Centre in Saudi Arabia (2018–2020) ↗
Peer-reviewed research · Medicine · 104(51):e46290 · 2025
Global Perspective on the Evolution and Future of Pharmacovigilance: Deliverables from the 24th Annual Meeting of the International Society of Pharmacovigilance ↗
International working group · Drug Safety · 49(7):733–745 · 2026
9th ISoP Intelligent Automation Boston Seminar — From Innovation to Impact: Building Trustworthy AI in Pharmacovigilance ↗
International working group · Drug Safety · 49(6):729–731 · 2026
Predicting Glaucoma Visual Field Progression from Fundus Images with a Weighted Ensemble Method
Conference paper · IMSA 2025 — Intelligent Methods, Systems & Applications · 2025
Evaluating Machine Learning Models for Predicting Saudi Pharmacovigilance Risk Management Measures
Conference paper · Drug Safety (ISoP Annual Meeting) · 2024
Public Knowledge and Behaviours Regarding Antibiotics Use: A Survey Among the General Public
Peer-reviewed research · International Journal of Medical Research & Health Sciences · 2017
Transverse Myelitis Associated with Tozinameran Use: Adverse Events-Signal
Signal review · Pharmacoepidemiology and Drug Safety · 2024
//02 Authority
Authority signals
Regulatory AI carries weight only when it survives real institutional, scientific, and patient-safety scrutiny — these are the rooms where the work has been tested.
//03 Craft
How we collaborate
Strategic Advisory
Guiding organizations through the adoption of AI in regulated healthcare environments.
System Architecture
Designing scalable, compliant regulatory tech stacks.
AI Implementation
From concept to deployment: building RAG pipelines, agents, and predictive models for health data.
//04 Portfolio
Proven track record
//05 Featured
Highlighted work
Scroll through the systems like a guided film reel, from signal intelligence to regulatory copilots.
Featured
Signal Sight
Streamlined signal detection with multi-agent analysis and visualization.
Flask · LangChain · OpenAI
Launch Project
Featured
SFDA Copilot
Citation-backed regulatory intelligence for confident decision making.
Flask · OpenAI · RAG
Launch Project
Featured
BenchVision
Accelerated benchmarking of regulatory documents against gold standards.
GPT-4 · PDF · Flask
Launch Project//06 Proof
ArtGuard medication safety
Using perceptual hashing + vision models to detect drug packaging that looks dangerously similar, protecting patients from medication errors.
Cover
ArtGuard
AI-Powered Medication Safety
Problem
1,500+
Packaging errors annually
Stakes
Patients · Regulators · Pharma
All at risk
Challenge
2-3 hours
Manual review per package
Solution
Dual-Engine AI
Hashing + Vision LLM
Workflow
Upload → Analyze → Report
30 seconds
Impact
500+ scanned
47 flagged · 40% faster
//07 Connect
Book your free 30-minute consultation
Schedule a focused conversation about your AI and regulatory challenges. No sales pitch—just strategic insights tailored to your needs.
Expert Analysis
Get actionable insights on your regulatory AI challenges
Custom Roadmap
Walk away with a clear next-step strategy
Zero Commitment
Free consultation with no obligations
//08 Analysis
The Script Doctor
Paste an excerpt of a regulatory document — safety report, labelling text, procedure — and the Script Doctor will analyse it for regulatory implications and suggest next steps.
Do not paste confidential, patient-identifiable, or commercially sensitive text. Excerpts are sent to OpenAI for processing and leave this server. This site does not intentionally retain them; OpenAI handles them under its own data-retention terms.
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ANALYSIS
Analyses are for informational purposes only and do not constitute legal or regulatory advice.
//09 Connect
Ready to modernize your regulatory strategy?
Warm introductions and direct outreach welcome. I respond within 24 hours.