Personalized Medicine in Prostate Cancer: Future Perspectives for Tailored Treatments

Abstract

Best future standard of care will be the identification of "tailored" treatments, based on the specific cancer patient's characteristics, race differences and habits or regional backgrounds, or clinical aspects, etc. The development of tools that allow and support the decision-making process to deliver tailored treatment is crucial as medicine and in particular cancer disciplines move towards the era of individualized medicine. This aim is proposed by designing, developing and testing a framework to represent data in a re-usable way for building automatically Decision Support Systems based on extrapolated predictive models.Extracting the main features from classical and innovative data, DSS will be able to provide a practical support to clinical choices in cancer matter. A multidisciplinary integration with different professionalisms beside the clinicians is a necessary step to follow this important issue. Keywords:

Machine learning's role in personalized medicine & treatment optimization

“…Overcoming data heterogeneity is a critical barrier for scholars and healthcare professionals working on customized medical applications. To overcome this problem, many data normalization and standardization procedures may be applied to integrate diverse data types cohesively (AR, 2015). Adopting global data standards also helps make data integration easier.…”