Artificial intelligence fusion for predicting survival of rectal cancer patients using immunohistochemical expression of Ras homolog family member B in biopsy.
Tuan D PhamVinayakumar RaviBin LuoChuanwen FanXiao-Feng SunPublished in: Exploration of targeted anti-tumor therapy (2023)
The finding obtained from the use of AI reported in this study suggest that RhoB expression on rectal-cancer biopsy can be potentially used as a biomarker for predicting survival outcomes in rectal-cancer patients, which can be informative for clinical decision making if the patient would be recommended for preoperative therapy.
Keyphrases
- rectal cancer
- artificial intelligence
- poor prognosis
- locally advanced
- machine learning
- big data
- end stage renal disease
- decision making
- deep learning
- ejection fraction
- ultrasound guided
- newly diagnosed
- chronic kidney disease
- prognostic factors
- squamous cell carcinoma
- peritoneal dialysis
- fine needle aspiration
- binding protein
- patients undergoing
- long non coding rna
- bone marrow
- stem cells
- patient reported outcomes
- radiation therapy
- free survival
- replacement therapy