The paper outlines a roadmap for enhancing healthcare quality by introducing AI technology to diagnose patients with cancer using H&E images. Advances in machine learning offer significant potential for achieving non-destructive treatments for cancer patients in the near future. The current synergy of advancements in AI holds promise for addressing this fatal disease. The document details the creation and implementation of a deep-learning system utilizing TensorFlow’s MobileNetV2 model. Despite the training using a limited set of low-resolution images, the model demonstrated effective performance in identifying healthy and cancerous cells. Upon detecting cancer, there is anticipation that future research involving liposomes and carbon nanotubes will progress. Eventually, a nano-device could be employed to administer antibodies and targeted drugs directly to specific body regions where the treatment is needed.