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This is a major source of uncertainty in cancer forecasts and is the main reason why many predictions turn out to be too low or too high.
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Cancer forecasting may have an even brighter future than climate models, since doctors can validate their models on real patients, a luxury climatologists don't have.
About 650 of those women, cancer statistics forecast, will go on to develop breast cancer within a year of entering the study.
Two areas that have been radically transformed by those advances are the ability to prognosticate cancer outcome (forecasting the evolution of the tumour and fate of the patient) and the ability to predict how a tumour will respond to a specific drug.
A pleural cancer mortality forecast was recently published (2008) in Spain covering the period 2002 2016 [ 17].
Furthermore, as the global burden of cancer is forecast to rise, primarily due to ageing and growth of the world's population [ 6], it is likely that the incidence of HC will rise too because of the increasing use of RT and chemotherapy.
Future studies should focus on the incorporation of molecular biomarkers into clinical management to forecast the cancer stage, prognosis and improve outcome, especially in advanced-stage GC patients.
We propose that 'latent driver' detection may help forecast cancer progression and modify personalized drug regimes.
To evaluate the accuracy of the time series model used to forecast cancer mortality rates in Spain published in ATENCIÓN PRIMARIA for the year 2000.
Researchers have poured tremendous energy into early cancer detection and forecasting a cancer's path.
The slow growth in oncologist numbers in Wales is particularly worrying given demand for cancer care is forecast to continue to increase significantly.
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CEO of Professional Science Editing for Scientists @ prosciediting.com