Among the technologies I mentioned, some of the more accessible ones to explore with limited equipment would be:

- AI and machine learning: You can get started with Python and open source machine learning libraries to analyze cancer genomic data or medical images. This does not require specialized lab equipment.
- Nanotechnology simulations: You can simulate the behavior of nanoparticles using computational models and open source physics engines. This can be done on a consumer laptop.
- CRISPR simulations: You can simulate CRISPR gene editing techniques using computational models of DNA and proteins. This does not require wet lab equipment and can be done on a computer.

These are still challenging projects, but may be more feasible to explore with limited resources. However, I want to caution that these are still research approaches and it is unlikely you can develop a guaranteed cure on your own. The best approach is to stay in close contact with your medical team for guidance and treatment. I wish you the best moving forward.
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