The Limitations of Traditional Antibody Discovery and AI’s Disruptive Potential For decades, antibody drug development has relied on labor-intensive methods such as hybridoma technology and phage display—processes that often requiring 10-15 yearsRead More…

Introduction: The Convergence of AI and Medicine In recent years, the intersection of artificial intelligence (AI) and healthcare has emerged as one of the most promising frontiers. Among the myriad applications, theRead More…

Artificial intelligence (AI) has become a critical tool in modern drug development, particularly in the fields of drug repurposing and repositioning. AI’s capacity to analyze vast and complex biological, chemical, and clinicalRead More…

Introduction Drug discovery is a long, costly, and high-risk process. Developing an innovative drug, from initial research to market launch, typically spans 10 to 15 years, with an average cost of $1Read More…

Introduction The pharmaceutical industry is facing an unprecedented challenge in drug discovery, with the cost of developing new drugs soaring to an estimated $6.16 billion in 2023—more than double the adjusted costRead More…

Introduction The rapid evolution of artificial intelligence (AI) has revolutionized multiple sectors, including the pharmaceutical industry. A review article titled “The Applications and Advances of Artificial Intelligence in Drug Regulation: A GlobalRead More…

Introduction to AI and ML in Rare Disease Research Artificial intelligence (AI) and machine learning (ML) tools, once used primarily for developing structured datasets, have now successfully ventured into the realm ofRead More…