scholarly journals Health Care Adherence and Personalized Medicine

Author(s):  
Mark Egan ◽  
Tomas Philipson
2012 ◽  
Vol 30 (34) ◽  
pp. 4233-4242 ◽  
Author(s):  
Geoffrey S. Ginsburg ◽  
Nicole M. Kuderer

Despite stunning advances in our understanding of the genetics and the molecular basis for cancer, many patients with cancer are not yet receiving therapy tailored specifically to their tumor biology. The translation of these advances into clinical practice has been hindered, in part, by the lack of evidence for biomarkers supporting the personalized medicine approach. Most stakeholders agree that the translation of biomarkers into clinical care requires evidence of clinical utility. The highest level of evidence comes from randomized controlled clinical trials (RCTs). However, in many instances, there may be no RCTs that are feasible for assessing the clinical utility of potentially valuable genomic biomarkers. In the absence of RCTs, evidence generation will require well-designed cohort studies for comparative effectiveness research (CER) that link detailed clinical information to tumor biology and genomic data. CER also uses systematic reviews, evidence-quality appraisal, and health outcomes research to provide a methodologic framework for assessing biologic patient subgroups. Rapid learning health care (RLHC) is a model in which diverse data are made available, ideally in a robust and real-time fashion, potentially facilitating CER and personalized medicine. Nonetheless, to realize the full potential of personalized care using RLHC requires advances in CER and biostatistics methodology and the development of interoperable informatics systems, which has been recognized by the National Cancer Institute's program for CER and personalized medicine. The integration of CER methodology and genomics linked to RLHC should enhance, expedite, and expand the evidence generation required for fully realizing personalized cancer care.


Genes ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 747
Author(s):  
Oriana Strianese ◽  
Francesca Rizzo ◽  
Michele Ciccarelli ◽  
Gennaro Galasso ◽  
Ylenia D’Agostino ◽  
...  

Life expectancy has gradually grown over the last century. This has deeply affected healthcare costs, since the growth of an aging population is correlated to the increasing burden of chronic diseases. This represents the interesting challenge of how to manage patients with chronic diseases in order to improve health care budgets. Effective primary prevention could represent a promising route. To this end, precision, together with personalized medicine, are useful instruments in order to investigate pathological processes before the appearance of clinical symptoms and to guide physicians to choose a targeted therapy to manage the patient. Cardiovascular and neurodegenerative diseases represent suitable models for taking full advantage of precision medicine technologies applied to all stages of disease development. The availability of high technology incorporating artificial intelligence and advancement progress made in the field of biomedical research have been substantial to understand how genes, epigenetic modifications, aging, nutrition, drugs, microbiome and other environmental factors can impact health and chronic disorders. The aim of the present review is to address how precision and personalized medicine can bring greater clarity to the clinical and biological complexity of these types of disorders associated with high mortality, involving tremendous health care costs, by describing in detail the methods that can be applied. This might offer precious tools for preventive strategies and possible clues on the evolution of the disease and could help in predicting morbidity, mortality and detecting chronic disease indicators much earlier in the disease course. This, of course, will have a major effect on both improving the quality of care and quality of life of the patients and reducing time efforts and healthcare costs.


Author(s):  
Michael Snyder

In 2001 the Human Genome Project succeeded in mapping the DNA of humans. This landmark accomplishment launched the field of genomics, the integrated study of all the genes in the human body and the related biomedical interventions that can be tailored to benefit a person's health. Today genomics, part of a larger movement toward personalized medicine, is poised to revolutionize health care. By cross-referencing an individual's genetic sequence -- their genome -- against known elements of "Big Data," elements of genomics are already being incorporated on a widespread basis, including prenatal disease screening and targeted cancer treatments. With more innovations soon to arrive at the bedside, the promise of the genomics revolution is limitless. This entry in the What Everyone Needs to Know series offers an authoritative resource on the prospects and realities of genomics and personalized medicine. As this science continues to alter traditional medical paradigms, consumers are faced with additional options and more complicated decisions regarding their health care. This book provides the essential information everyone needs.


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