Summary of Accelerating Complex Disease Treatment Through Network Medicine and Genai: a Case Study on Drug Repurposing For Breast Cancer, by Ahmed Abdeen Hamed and Tamer E. Fandy
Accelerating Complex Disease Treatment through Network Medicine and GenAI: A Case Study on Drug Repurposing for Breast Cancer
by Ahmed Abdeen Hamed, Tamer E. Fandy
First submitted to arxiv on: 18 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces a multilayered network medicine approach, leveraging a highly configured ChatGPT prompt engineering system to extract drug mentions in clinical trials. The goal is to predict drugs that can be repurposed for complex diseases like cancer and Alzheimer’s by generating combination therapies. The authors present a novel algorithm connecting real-world evidence with disease-specific signaling pathways (e.g., KEGG database) to identify the repurposability of drugs binding with one or more protein constituents of a signaling pathway. They demonstrate the framework on breast cancer, identifying 38 pathways covered by at least two drugs, and pinpoint specific combinations. The network medicine framework, empowered by GenAI, shows promise in identifying drug combinations with high specificity. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The research aims to find new uses for old medicines. It’s like trying to figure out which puzzle pieces fit together. They use a special computer system called ChatGPT to help them look through lots of information about clinical trials and medical studies. The goal is to find the right combination of drugs that can help people with diseases like cancer or Alzheimer’s. By combining different drugs, they hope to make new treatments that are more effective. The study shows that this approach can work by identifying specific combinations of drugs for breast cancer. |
Keywords
» Artificial intelligence » Prompt
