Kidney Disease
Investigated kidney disease mechanisms using molecular and computational methods. Developed new approaches to detect tissue damage in polycystic kidney disease.
Clinical & Translational Science · AI in Health · Advanced Statistics
Clinical scientist and AI researcher turning complex health data into clear strategy. Independent consulting for research teams, healthcare organizations, and biotech ventures.
Dr. Mohamed Addani, M.S., Ph.D. is a clinical and translational scientist specializing in AI, advanced statistics, and health equity. With over a decade of research — from molecular biology to large-scale patient studies — he helps research teams, clinical organizations, and biotech ventures design rigorous studies, build predictive models, and translate data into actionable strategy.
Study design, data analysis, and publication-ready results. From clinical trials to large-scale patient studies, rigorous methods that hold up to peer review.
Predictive model development, AI tool evaluation, and responsible adoption strategies. Helping teams harness artificial intelligence for better health outcomes.
Disparities research, equitable access analysis, and regulatory guidance for novel treatments. Ensuring innovations reach patients of all backgrounds.
Curriculum design, doctoral mentorship, grant writing, and stakeholder communication. Translating complex science for diverse audiences.
Ready to bring this expertise to your project?
Book a Discovery CallInvestigated kidney disease mechanisms using molecular and computational methods. Developed new approaches to detect tissue damage in polycystic kidney disease.
Studied cancer cell signaling pathways and explored links between diet, diabetes, and cancer risk. Led community health awareness initiatives.
Built predictive models for clinical outcomes and evaluated AI tools for scientific applications. Designed university curricula on AI in health sciences.
Spearheaded 20+ research projects to uncover treatment access gaps. Published a framework ensuring emerging regenerative therapies reach all patient populations equitably.
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Discuss Your Research NeedsStudy design review, statistical analysis, results interpretation, and manuscript-ready statistical sections. Rigorous methods for clinical and health sciences research.
AI readiness assessment, tool selection and benchmarking, predictive model development, and implementation guidance. Independent evaluation of AI and large language models for scientific and healthcare applications.
Clinical research protocol development, trial framework design, health equity research design, and regulatory science guidance for novel therapeutics.
Manuscript preparation, grant writing support, presentation coaching, curriculum development, data visualization, and scientific communication for diverse audiences.
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