作者: Elisabetta Garibaldi , D. Gabriele , Pietro Gabriele , Caterina Guiot
DOI:
关键词: Prostate 、 Tumor progression 、 Geriatrics 、 Scheme (programming language) 、 Pathology 、 Medical physics 、 Patient treatment 、 Medicine 、 Statistical analysis
摘要: Prostate tumor (PT) normally has an indolent course during the first 10 to 15 years. Tumor progression and its clinical management, in elderly patients, is therefore becoming a social problem, feasibility of non-therapeutic approaches, such as Wait & Watch (W&W) one, requires better understanding natural history. Our model aims at connecting physical, biological statistical knowledge order validate empirical views propose clinicians simple effective ‘therapy-simulator’, based on large experimental sample, helping them difficult goal personalizing patients' therapy.