developer
April 5, 2026
A Multi‑Night Analysis of Nocturnal Glycemic Variability and the Dawn Phenomenon: A Hypothesis‑Generating Case Observation Yousef Mohamed Elshrek, PhDRahil Center for Research and Development, Portland,
Publications
A collection of scientific articles, research papers, and academic publications produced by Rahlil Center.
The publications of Rahlil Center reflect our commitment to advancing scientific research in food safety, toxicology, and environmental health. Our work includes peer-reviewed articles, technical reports, and collaborative research studies that contribute to global scientific knowledge.
Each publication is developed through rigorous methodologies and aims to provide practical insights for researchers, institutions, and policymakers.
توظيف الذكاء الاصطناعي في تعزيز سلامة اللحوم وعلم الأحياء الدقيقة: مراجعة شاملة
developer
April 3, 2026
المستخلص يُعد الذكاء الاصطناعي قوةً تحويليةً في النظم الغذائية، إذ يوفر قدرات حيوية تُسهم بشكل كبير في تحسين سلامة اللحوم وجودتها وإدارة المخاطر الميكروبيولوجية. تهدف
Machine Learning Approaches for Toxicological Risk Assessment in Food Systems
developer
March 21, 2026
This publication explores the use of machine learning techniques in evaluating toxicological risks associated with chemical compounds present in food systems. The study applies predictive
Application of Computer Vision in Food Quality Inspection and Monitoring
developer
March 21, 2026
This publication explores the latest web design trends focused on improving user engagement and conversion rates. It highlights the importance of responsive design, intuitive navigation,
A Multi‑Night Analysis of Nocturnal Glycemic Variability and the Dawn Phenomenon: A Hypothesis‑Generating Case Observation Yousef Mohamed Elshrek, PhDRahil Center for Research and Development, Portland,
توظيف الذكاء الاصطناعي في تعزيز سلامة اللحوم وعلم الأحياء الدقيقة: مراجعة شاملة
المستخلص يُعد الذكاء الاصطناعي قوةً تحويليةً في النظم الغذائية، إذ يوفر قدرات حيوية تُسهم بشكل كبير في تحسين سلامة اللحوم وجودتها وإدارة المخاطر الميكروبيولوجية. تهدف
Machine Learning Approaches for Toxicological Risk Assessment in Food Systems
This publication explores the use of machine learning techniques in evaluating toxicological risks associated with chemical compounds present in food systems. The study applies predictive
Application of Computer Vision in Food Quality Inspection and Monitoring
This publication explores the latest web design trends focused on improving user engagement and conversion rates. It highlights the importance of responsive design, intuitive navigation,
توظيف الذكاء الاصطناعي في تعزيز سلامة اللحوم وعلم الأحياء الدقيقة: مراجعة شاملة
المستخلص يُعد الذكاء الاصطناعي قوةً تحويليةً في النظم الغذائية، إذ يوفر قدرات حيوية تُسهم بشكل كبير في تحسين سلامة اللحوم وجودتها وإدارة المخاطر الميكروبيولوجية. تهدف
Machine Learning Approaches for Toxicological Risk Assessment in Food Systems
This publication explores the use of machine learning techniques in evaluating toxicological risks associated with chemical compounds present in food systems. The study applies predictive
Application of Computer Vision in Food Quality Inspection and Monitoring
This publication explores the latest web design trends focused on improving user engagement and conversion rates. It highlights the importance of responsive design, intuitive navigation,
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