5 billion!16 Clearly, a cost benefit analysis of bundled care in hepatology could prove it to be a more efficient form of care. Specific burden cost measures are needed for the field of hepatology and include: (1) early detection when it

is easier to treat disease effectively; (2) identification of high risk patients; (3) stratification of care; (4) development of low, cost high yield markers and imaging modalities; and (5) low toxicity targeted therapeutics. There is reason to conclude that these modalities will improve survival and health outcomes that could ultimately become the leading determinate of high-quality care in patients with chronic liver disease which otherwise has a high risk of progressing to HCC.17 Fundamentally, the subsequent decrease in the burden of cost-evidence could be realized based on this website personalized medicine.18, 19 In many ways physicians have always practiced personalized medicine using their clinical observations to

switch drugs, adjust dosages to optimize treatment or avoid harmful side effects. It is only recently that a patient’s molecular information such as protein biomarkers Gefitinib price in the blood have been incorporated into clinical care. Detection of differences within a disease category can lead to optimal care as exemplified in breast cancer, where about 30 percent of breast cancers have an increased expression of a cell surface protein called human epidermalgrowth factor receptor 2 (HER2). Inhibition of the HER2 receptor by an antibody drug — Herceptin® (trastuzumab) markedly improves survival in this subgroup.2, 20, 21 I envision that partial MCE公司 or full cancer

genomes will routinely be sequenced as part of the clinical evaluation of cancer patients. The first human genome project, which sequenced half a dozen people, cost 1.5 billion dollars and took 15 years. The same amount of data can now be processed in a week at a fraction of the cost. Understanding the genetic aberrations enables us to target molecular aberrations with drugs and detect disease at an earlier stage when it is easier to treat effectively. Other benefits include ability to select optimal therapy, reduce trial-and-error prescribing, decrease reduce adverse drug reactions, and improve patient compliance with therapy. Improving the selection of targets for drug discovery will reduce the time, cost, and failure rate of clinical trials, revive drugs that failed clinical trials or were withdrawn from the market, avoid withdrawal of marketed drugs, and shift the emphasis in medicine from reaction to prevention, all of which will reduce the overall cost of health care. This “pharmacogenomic” approach could reduce the time and cost of drug development. Identifying subgroups of patients most likely to respond to therapy could reduce the size, time, and expense of clinical trials.