AI has a lot of potential to advance cancer research and treatments in several key ways:

- Analyzing data - AI can help detect patterns in huge sets of health and genomic data that could reveal new insights about cancer development and precision treatment options for patients.

- Imaging analytics - AI can help process and interpret medical images, spotting anomalies early and tracking tumor changes over time to assess treatment effectiveness.

- Drug discovery - AI systems can swiftly screen millions of compounds to identify promising new drug candidates for fighting cancer. This greatly accelerates traditional lab drug discovery.

- Treatment planning - AI can synthesize multiple data points about a patient's specific cancer markers and health profile to create customized and optimal treatment plans.

- Health monitoring - Wearable AI devices could track biomarkers and symptoms to detect any changes requiring medical intervention during cancer treatment and survivorship.

- Patient support - AI chatbots and virtual assistants can provide information and emotional support to cancer patients and families before/after diagnosis and during treatment. 

- Research automation - AI can help automate repetitive experiments to validate findings faster and enable researchers to focus on higher value tasks.

The applications are vast and growing as the technology develops. Overall AI stands to significantly quicken the pace of cancer breakthroughs.

(Claude2, Prompt: What is AI able to do to improve cancer treatments and cures?)