Part I: Advances in Drug Discovery

• Chapter 1: Modern Approaches in Target Identification and Validation
  

  (Genomics, proteomics, and systems biology applications).

• Chapter 2: Artificial Intelligence and Machine Learning in Drug Discovery
  

  (Case studies and predictive modeling).

• Chapter 3: Structure-Based Drug Design and Molecular Docking Tools
  

  (In silico methods, homology modeling).

• Chapter 4: Natural Products and Phytochemicals as Drug Leads
  

  (Ethnopharmacology to high-throughput screening).

• Chapter 5: Fragment-Based Drug Discovery (FBDD) and its Clinical Successes
  

  (Principles, methods, and applications).

• Chapter 6: CRISPR and Gene Editing Technologies in Therapeutic Targeting
  

  (Emerging targets and genome-scale screening).

Part II: Advances in Drug Development

• Chapter 7: Translational Pharmacology and Preclinical Models
  

  (From bench to bedside).

• Chapter 8: Formulation Strategies for Enhancing Drug Solubility and Stability
  

  (Lipid-based, cyclodextrin-based, and amorphous systems).

• Chapter 9: Pharmacokinetics, Pharmacodynamics, and ADMET Prediction
  

  (Role of computational tools and in vitro models).

• Chapter 10: Biologics and Biosimilars: Development and Regulatory Perspectives 
  

  (Monoclonal antibodies, peptides, and gene therapies).

• Chapter 11: Nanotechnology in Drug Development
  

  (Nanoformulations and their clinical relevance).

• Chapter 12: Clinical Trial Design and Adaptive Methodologies
  

  (Biomarker-based and patient-centric trials).