Advancing Cancer Care: Predicting Mesothelioma Survival Time Using Deep Learning

Advancing Cancer Care: Predicting Mesothelioma Survival Time Using Deep Learning

Cancer treatment is complex. Doctors need to estimate how long patients might live to choose the best treatments. New technologies like machine learning and deep learning have improved this process. These technologies are especially good at predicting how long cancer patients might survive. Novel Approach A new study focuses on a rare cancer called epithelioid malignant peritoneal mesothelioma. Researchers have developed a new deep learning network to predict how long patients with this cancer might live. This new approach is more efficient than others because it doesn’t require manual note-taking. The new model was tested using clinical data. They included factors like the Peritoneal Cancer Index and whether patients received chemotherapy. The results showed that the model performed better than…

Top Three Factors Predicting Mesothelioma Survival are Age, Histological Type, and Surgery Status
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Top Three Factors Predicting Mesothelioma Survival are Age, Histological Type, and Surgery Status

Malignant pleural mesothelioma is a rare and aggressive malignancy with a dismal prognosis. A new study is predicting mesothelioma survival among male and female patients in the United States. Identifying factors “associated with mesothelioma mortality is important research given the poor prognosis” according to Dr. Bian Liu from the a Icahn School of Medicine at Mount Sinai in New York. A new study applied a machine-learning algorithm to 12,210 patients to predict survival. The top three factors were age, histological type, and cancer-directed surgery status. Analyzing Over 12,000 Mesothelioma Patients Scientists from the New York State Department of Health included 12,210 mesothelioma patients. They involved only malignant pleural mesothelioma patients. They excluded cases with unknown diagnostic confirmation and unknown survival…