Metabolic Subtyping for Novel Personalized Therapies Against Pancreatic Cancer
Sign Up to like & getrecommendations! Published in 2019 at "Clinical Cancer Research"
DOI: 10.1158/1078-0432.ccr-19-2926
Abstract: Through metabolic subtyping, metabolic vulnerabilities can be exploited for developing efficacious treatments. A glycolytic subtype indicates poor survival in patients with pancreatic cancer, whereas a cholesterogenic subtype correlates with better outcomes potentially due to more… read more here.
Keywords: metabolic subtyping; novel personalized; cancer; personalized therapies ... See more keywords
A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220072
Abstract: Machine learning algorithms that derive predictive models are useful in predicting patient outcomes under uncertainty. These are often "population" algorithms which optimize a static model to predict well on average for individuals in the population;… read more here.
Keywords: prediction; random forest; decision; novel personalized ... See more keywords