human
summarize this: My research strategy going forward is to develop better explainable machine learning techniques that are grounded in biology to better understand the effect of different biological processes on cancer progression and clinical outcomes. Careful joint modeling of genomics and transcriptomics data is essential for understanding how these interactions may modulate different clinical and genomic outcomes. Analyzing electronic health care (EHR) data using deep natural language models may provide another perspective and augment the omics data in a holistic understanding of patient profiles. Integrative omics and EHR models can be deployed to automate clinical outcome prediction and identify subpopulations with specific characteristics. I believe that this line of research that combines multiple data modalities with innovative machine learning modeling to answer pressing clinical questions will transform cancer care and facilitate clinical and biological discovery in the cancer space.
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open