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Inside the Lab Precision medicine, Oncology, Clinical care

PREDICTive Power

Prostate cancer is a major malady – in fact, 8 percent of the worldwide cancer burden (1). Primarily a disease of old age, the prognosis for patients is variable; some tumors remain indolent for the rest of a person’s life, whereas others progress relentlessly. Characterizing this diverse disease continues to provide considerable challenges – and David Thurtle, Academic Clinical Fellow in the University of Cambridge’s School of Clinical Medicine, believes the resulting uncertainty hinders patient care. “We wanted to create something objective and standardized, capable of helping men in this difficult position,” he says. Now, in a paper published in PLoS Medicine, Thurtle and his team present a new model – PREDICT – intended to provide a better theoretical basis for clinical decision-making (2).

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About the Author

Jonathan James

As an assistant editor for The Translational Scientist, I can combine two of my passions; translational science research and science communication. Having thrown myself into various editing and other science communication gigs whilst at University I came to realise the importance of good quality content that delivers in an exciting and engaging way.

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