Dr.
oussef Ahmad

Physician-Scientist

Projects & Infrastructure

Architecting digital ecosystems and leading multi-center clinical research worldwide.

Community Ecosystem

MedResearchCollab (MRC): Scaling Global Medical Research

I founded MedResearchCollab (MRC) to overcome the geographical and resource barriers that often restrict high-quality clinical research. MRC is a digital infrastructure designed to coordinate junior researchers and students worldwide. By establishing standardized collaborative frameworks, we provide the tools and mentorship necessary to execute rigorous, multi-center studies, ensuring that clinical evidence generation is accessible and scalable regardless of local resource limitations.

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Key Pillars

  • Global Network
  • Standardized Workflows
  • Data Integrity
Live Study

Global Study: AI in Medical Education

Assessing the Readiness of the Next Generation of Physicians. (Phase: Manuscript Drafting)

Lead Principal Investigator & Protocol Designer

As the Principal Investigator, I am leading MRC’s inaugural multi-center study to evaluate medical students' perceptions and preparedness for Artificial Intelligence in healthcare. Currently in the manuscript drafting phase, this initiative demonstrates the power of decentralized, globally coordinated research.

Global Reach (Countries)

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Data Collectors (Members)

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Sample Size (Students)

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Project Progress Tracker

Protocol
Data Collection
Statistical Analysis
Manuscript Draft
Publication
Statistical Analysis100%
Manuscript: Introduction100%
Manuscript: Methods & DiscussionIn Progress
Conference PreparingNot Started
Live in Beta (SRMA)

MRC V2.0 System: An AI-Powered Research Lab

A Unified Ecosystem for Collaborative, Multi-Type Medical Research.

Leveraging my dual background in medicine and technology, I architected the MRC V2.0 System to serve as a comprehensive research hub. It currently provides robust support for Systematic Reviews and Meta-Analyses (SRMA)—with live projects actively executing in Beta testing—and is rapidly expanding to fully support Cross-Sectional Studies. Moving beyond simple tools, the platform acts as an intelligent ecosystem that fosters real-time global collaboration. It integrates Artificial Intelligence to automate repetitive tasks, execute complex biostatistical models, and enhance team coordination.

Core Team

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Founder & Lead Architect: Youssef Ahmad (MD)
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Software Engineer: Majd Aldaye (Cornell University)
Multi-Study Support

Specialized modules tailored for Cross-Sectional and Systematic Reviews, providing structured workflows for each methodology.

The Interactive AI Statistician

Facilitates rigorous data analysis by guiding researchers through complex statistical tests via intuitive, conversational interaction.

Global Collaboration Network

Built-in tools to connect researchers across borders, facilitating team formation, real-time communication, and seamless project management.

Smart Automation

Accelerates the research process by automating literature screening, data cleaning, and protocol drafting, allowing researchers to focus on critical thinking.