Medical Research

AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of AI technologies in scientific research and discovery across all disciplines. It covers AI support for literature management, data analysis (data science), combating the reproducibility crisis, and managing large-scale data resources. The book discusses the limitations of AI outputs and emphasizes the importance of hybrid and 'human-in-the-loop' AI technologies that balance human insights with large-scale statistical inference.

This book provides comprehensive coverage of Molecularly Imprinted Polymers (MIPs), detailing their synthesis, characterization, and applications, with a primary focus on their utility in environmental monitoring, analytical chemistry, food analysis, and biomedical diagnostics.

A comprehensive guide on research methodology for individuals in the health sector, focusing on the practical application of research design, proposal writing, thesis development, and article preparation.

This volume provides specific guidance for becoming a successful academic surgeon, focusing on basic science research. It is part of a series intended to provide detailed information beyond introductory courses on various types of surgical research (basic science, clinical trials, health services research, and surgical education). The target audience includes medical students, surgical residents, and young surgical faculty, often serving as a textbook for Association for Academic Surgery (AAS) courses.

This document analyzes the historical context and ongoing necessity of using animals in scientific research. It covers their crucial role in fundamental biological research, developing new treatments for diseases, vaccine creation, and mandatory toxicological studies necessary for introducing new drug molecules into clinical practice.

This book explores Molecularly Imprinted Polymers (MIPs) as synthetic receptors, often referred to as artificial antibodies. MIPs offer advantages over natural receptors due to their high selectivity, stability, and cost-effectiveness. The text highlights their crucial applications in healthcare monitoring, accurate and sensitive disease detection, and personalized medicine.

A comprehensive guide designed to assist clinicians and researchers in understanding and applying the principles of clinical and healthcare research, covering design, methodology, and execution.

A practical guide detailing how to leverage Microsoft Excel, from basic navigation and formulas (SUM, VLOOKUP) to advanced data analysis (PivotTables). It focuses specifically on integrating ChatGPT to automate repetitive tasks, generate complex formulas, clean data, and optimize reporting for enhanced efficiency and performance.

A foundational guide for medical residents covering the essential steps of clinical research, including formulating research questions, conducting effective literature reviews, using reference management tools like EndNote, and preparing a research proposal.

Explores the role of artificial intelligence in contemporary life, focusing on driverless cars and automotive technology. The AI for Everything series is concise and accessible, bringing the study and reality of AI to a broad readership including professionals, students, researchers and lay readers.

A compilation of additional research papers, case studies, or educational notes created and presented by Dr. Ali Hassib during the academic period of 2013 to 2014.

A volume in the critically acclaimed Methods in Molecular Biology series, providing readily-reproducible, step-by-step research protocols focused on double-stranded RNA. Protocols include introductory overviews, lists of materials and reagents, detailed procedures, and helpful notes offering tips and troubleshooting advice.