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Results on different benchmark combinations show that our approaches effectively reduced the schedule computation times.
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One benchmark is $50,000 per life-year saved, but it is difficult to show that proton therapy actually saves lives.
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Our benchmark simulations show that the proposed methods significantly improve the CMLP scheme.
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Benchmark simulations show that featural biasing also improves performance on large-scale examples.
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Results on benchmark datasets show that the hybrid method is really effective and robust.
The results obtained with several extensive benchmark experiments show that MedSim is able to specifically associate diseases with known proteins.
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