AI Revolutionizing Cancer Research and Treatment: Predicting Cancer Survival Rates with Accuracy

Deep-learning is unlocking the potential to accurately predict cancer risk and survival rates in patients. Researchers at MIT have developed an AI model that can predict the risk of lung cancer up to six years in advance, allowing for early detection and increasing the chance of survival. This model can be used to tailor screening and monitoring of individuals at higher risk, and the performance of the model is comparable to or better than other models used to predict cancer survival.

University of Toronto researchers have also been using AI to design potential treatments for cancer. AlphaFold and Pharma.AI, two AI-powered tools, have been used to identify a previously unknown pathway for treating hepatocellular carcinoma.^[0]

In Singapore, colorectal cancer is the most common form of cancer.^[1] It is estimated that around 2,000 people are diagnosed with it each year, with the highest risk group being those over 50 years old. Most cases start from polyps, but a quarter of polyps can be missed in a single colonoscopy.^[2]

Natural language processing (NLP) is being used to predict the survival of patients with cancer using their initial oncologist consultation documents.^[3] The AI model was able to accurately predict six-month, 36-month, and 60-month survival rates with over 80 percent accuracy.^[4] With this technology, doctors can quickly train the models on local data to optimize the model for a particular region, while maintaining patient confidentiality.^[5]

AI is revolutionizing cancer research and treatment.^[6] It is providing scientists with the ability to predict the structure of proteins, identify potential treatments for cancer, and predict cancer survival rates with accuracy. With this technology, doctors are able to take a more informed and proactive approach to cancer care.

0. “AI ‘used to design entirely new cancer drug within just 30 days’” Yahoo News, 13 Mar. 2023, https://news.yahoo.com/ai-used-to-design-entirely-new-cancer-drug-within-just-30-days-154322235.html

1. “AI to act as doctor's second pair of eyes to spot nearly invisible colon cancer growths” The Straits Times, 14 Mar. 2023, https://www.straitstimes.com/tech/ai-to-act-as-doctor-s-second-pair-of-eyes-to-spot-nearly-invisible-colon-cancer-growths

2. “Sengkang General Hospital to promote AI-assisted colonoscopies” Healthcare IT News, 15 Mar. 2023, https://www.healthcareitnews.com/news/asia/sengkang-general-hospital-promote-ai-assisted-colonoscopies

3. “NLP Tools Predict Cancer Survival Using Routinely Collected Data” HealthITAnalytics.com, 13 Mar. 2023, https://healthitanalytics.com/news/nlp-tools-predict-cancer-survival-using-routinely-collected-data

4. “AI program accurately predicts how long cancer patients will survive by reading doctors' notes” Study Finds, 13 Mar. 2023, https://studyfinds.org/artificial-intelligence-cancer-patients/

5. “AI Reads Oncologists' Notes, Accurately Predicts Patient Outcomes” Lab Manager Magazine, 7 Mar. 2023, https://www.labmanager.com/news/ai-reads-oncologists-notes-accurately-predicts-patient-outcomes-29923

6. “AI Computer-Assisted Detection Makes Strides In Early Breast Cancer Identification” MadameNoire, 15 Mar. 2023, https://madamenoire.com/1338009/ai-computer-assisted-detection-makes-strides-in-early-breast-cancer-identification