**1\. Drug Discovery**

**1.1 AI-Driven Molecular Design**

• Deep Learning for De Novo Drug Design
• Molecular Optimization Using Reinforcement Learning
• Graph-Based Deep Learning Models for Molecular Property Prediction
• Generative Models for Drug Discovery: A Review
• A Survey of Machine Learning for Molecular Design

**1.2 Predictive Models for Drug-Target Interactions**

• DeepDTA: Deep Learning for Drug-Target Binding Affinity Prediction
• Attention Mechanisms for Drug-Target Interaction Prediction
• Transformer-Based Models for Drug Discovery
• A Multi-Modal Approach for Drug-Drug Interaction Prediction

**1.3 High-Throughput Screening with AI**

• AI-Augmented Virtual Screening for Drug Discovery
• Efficient High-Throughput Screening with Graph Neural Networks
• AI Models for Rapid Drug Candidate Screening
• Drug Repositioning Using AI Models
• Deep Learning for Drug Synergy Prediction

**2\. Oncology**

**2.1 Cancer Diagnostics Using AI**

• Deep Learning for Cancer Detection in Histopathology Images
• AI-Assisted Breast Cancer Detection
• Multi-Scale Deep Learning for Tumor Classification
• Radiomics for Cancer Diagnosis
• AI for Early Cancer Detection

**2.2 AI for Personalized Oncology**

• Precision Medicine in Oncology with AI
• Deep Learning for Predicting Tumor Responses to Therapy
• AI for Immunotherapy Predictions
• Cancer Survival Prediction with Deep Learning
• AI for Targeted Cancer Therapies

**2.3 AI in Cancer Genomics**

• AI for Analyzing Cancer Genomic Data
• Graph Neural Networks for Cancer Pathway Analysis
• Deep Learning for Somatic Mutation Prediction
• AI for Identifying Cancer Biomarkers
• Single-Cell RNA-Seq Analysis with AI

**3\. Clinical Research**

**3.1 AI in Clinical Trial Design**

• Optimizing Clinical Trials with AI
• AI for Patient Recruitment in Clinical Trials
• AI for Predicting Clinical Trial Success
• AI for Adaptive Clinical Trial Design
• Predicting Clinical Outcomes with AI

**3.2 Real-World Evidence and AI**

• AI for Real-World Evidence in Clinical Research
• Natural Language Processing for Clinical Data Extraction
• AI in Electronic Health Record Analysis
• Federated Learning in Clinical Research
• Causal Inference for Clinical Research with AI

**3.3 AI in Adverse Event Prediction**

• Predicting Adverse Drug Events Using AI
• AI Models for Pharmacovigilance
• AI for Early Detection of Adverse Events
• Bayesian Models for Adverse Event Prediction
• Multi-Modal AI for Drug Safety

**Acknowledgments**

• Ontosight.ai