Antonio Esquivel Gaytan

Physician-scientist (MD, MSc, PhD candidate at UMCG) with core expertise in heart failure and cardiorenal research and practical experience applying LLM-based tools in clinical research and laboratory workflows.

I have co-designed AI-assisted solutions for protocol-to-visit extraction, investigational product inventory, and structured clinical reporting; and initiated my own tools including an offline RAG system for heart failure guidelines, an AI-assisted patient prioritisation MVP, a discreet adherence companion concept, and a local SOP-based lab assistant. My work prioritises safety, traceability, MDR/GCP-conscious design, GDPR-aware data minimisation, and real-world usability — bridging clinicians, technical teams, and decision-makers.

• Pangaea Oncology: Led AI-assisted visit schedules, inventory automation, and structured clinical reporting with strong human-in-the-loop governance.
• QGuard-Med (MVP): Co-founder of an AI-assisted cardiovascular patient prioritisation system; finalist at Break The Gap 2025.
• Offline & Local-first Tools: Built and designed privacy-preserving assistants (offline RAG, SOP-based lab support) focused on auditability and constrained outputs.
• Open to: roles in AI in healthcare, clinical research, translational programs, advisory work, and AI literacy workshops in the Netherlands, Spain, and EU.