Your AI Research Assistant
1
GitHub Stars
44
Curated Resources
3
Categories
22 hours ago
Last Refreshed
1. Drug Discovery2. Oncology3. Clinical Research
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2.1 cancer diagnostics using ai resources from ontosight"
Installation instructions →What's inside
2. Oncology
- AI-Assisted Breast Cancer Detection2.1 Cancer Diagnostics Using AI
- AI for Analyzing Cancer Genomic Data2.3 AI in Cancer Genomics
- AI for Early Cancer Detection2.1 Cancer Diagnostics Using AI
- AI for Identifying Cancer Biomarkers2.3 AI in Cancer Genomics
- AI for Immunotherapy Predictions2.2 AI for Personalized Oncology
- AI for Targeted Cancer Therapies2.2 AI for Personalized Oncology
1. Drug Discovery
- AI-Augmented Virtual Screening for Drug Discovery1.3 High-Throughput Screening with AI
- AI Models for Rapid Drug Candidate Screening1.3 High-Throughput Screening with AI
- A Multi-Modal Approach for Drug-Drug Interaction Prediction1.2 Predictive Models for Drug-Target Interactions
- A Survey of Machine Learning for Molecular Design1.1 AI-Driven Molecular Design
- Attention Mechanisms for Drug-Target Interaction Prediction1.2 Predictive Models for Drug-Target Interactions
- DeepDTA: Deep Learning for Drug-Target Binding Affinity Prediction1.2 Predictive Models for Drug-Target Interactions
3. Clinical Research
- AI for Adaptive Clinical Trial Design3.1 AI in Clinical Trial Design
- AI for Early Detection of Adverse Events3.3 AI in Adverse Event Prediction
- AI for Patient Recruitment in Clinical Trials3.1 AI in Clinical Trial Design
- AI for Predicting Clinical Trial Success3.1 AI in Clinical Trial Design
- AI for Real-World Evidence in Clinical Research3.2 Real-World Evidence and AI
- AI in Electronic Health Record Analysis3.2 Real-World Evidence and AI
Showing a sample of 44 resources. View the full list on GitHub →