With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Search for: Colorectal cancer
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Researchers have developed an robotic system to enhance the safety and efficacy of endoscopic submucosal dissection (ESD) for the treatment of gastrointestinal cancer.
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
The first comprehensive study comparing the outcomes of robotic surgery to those of traditional open surgery in any organ has found that the surgeries are equally effective in treating bladder cancer.