Optimising the therapeutic response of statins using real‐world evidence and machine learning: Personalised precision dosing recommends lower statin doses for some patients von Krentz, Andrew, Fournier, Lisa, Castiglione, Thomas, Curcin, Vasa, Hamdane, Camil, Liu, Tianyi, Jaun, André

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Machine Learning Applied to Cholesterol-Lowering Pharmacotherapy: Proof-of-Concept in High-Risk Patients Treated in Primary Care von Krentz, Andrew J., Haddon-Hill, Gabe, Zou, Xiaoyan, Pankova, Natalie, Jaun, André

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888-P: Therapy Recommendation Neural Network for Comorbid Cardiometabolic Diseases von DIBNER, YARON, BRANDT, NICOLAS, KRENTZ, ANDREW, LOZHKINA, ARINA, LUSTER, ALEXANDRE, PÈRE, ARTHUR, JAUN, ANDRÉ

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1270-P: A Neural Network Model for the Prediction of Comorbid Cardiometabolic Diseases—Proof of Concept Using UK Primary Care Data von KRENTZ, ANDREW, BRUNSCHWIG, LUCAS S., DIBNER, YARON, MICHEL, HUGO, JAUN, ANDRÉ

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Machine learning to optimise statin therapy using real-world primary care outcomes: can statin doses be reduced in some patients? von Krentz, Andrew, Fournier, Lisa, Castiglione, Thomas, Curcin, Vasa, Haldane, Camil, Liu, Tianyi, Jaun, Andre

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Prognosis and Therapeutic Response Transfer Learning Model for Multiple Myeloma von Voegeli, Jerome, Moreno, Dana, Kryukov, Maxim, Mathez, Gregory, Petremand, Remy, Pere, Arthur, Ekstrom, Leeland, Jaun, Andre

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Chapter 5: Physics of energetic ions von Fasoli, A, Gormenzano, C, Berk, H.L, Breizman, B, Briguglio, S, Darrow, D.S, Gorelenkov, N, Heidbrink, W.W, Jaun, A, Konovalov, S.V, Nazikian, R, Noterdaeme, J.-M, Sharapov, S, Shinohara, K, Testa, D, Tobita, K, Todo, Y, Vlad, G, Zonca, F

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Eikonal waves, caustics and mode conversion in tokamak plasmas von Jaun, A, Tracy, E R, Kaufman, A N

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Local fields for asymptotic matching in multidimensional mode conversion von Tracy, E. R., Kaufman, A. N., Jaun, A.

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Isotope mass scaling of AE damping rates in the JET tokamak plasmas von Fasoli, A, Jaun, A, Testa, D

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Measurement of the damping rate of n = 1 toroidal Alfvén eigenmodes as a function of the neutral beam heating power and plasma β on JET von Testa, D, Fasoli, A, Jaun, A, contributors, JET-EFDA

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Experimental test of damping models for n = 1 toroidal Alfvén eigenmodes in JET von Testa, D, Fu, G.Y, Jaun, A, Fasoli, A, Sauter, O, contributors, JET-EFDA

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Stability of Alfvén eigenmodes in optimized tokamaks von Jaun, A, Fasoli, A, Vaclavik, J, Villard, L

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The toroidicity-induced Alfvén eigenmode structure in DIII-D: Implications of soft x-ray and beam-ion loss data von Carolipio, E. M., Heidbrink, W. W., Cheng, C. Z., Chu, M. S., Fu, G. Y., Jaun, A., Spong, D. A., Turnbull, A. D., White, R. B.

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Iterative solution of global electromagnetic wavefields with finite elements von Jaun, A., Blomqvist, K., Bondeson, A., Rylander, T.

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A ray-based algorithm for multi-dimensional linear conversion von Tracy, Eugene R., Kaufman, Allan N., Jaun, André

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Gyrokinetic modelling of macro-instabilities in high performance tokamak plasmas von Jaun, A, Fasoli, A, Testa, D, Vaclavik, J, Villard, L, Programme, Contributors to the EFDA-JET Work

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On resonance absorption and continuum damping (vol 5, pg 3801, 1998) von Jaun, Andre, Appert, K., Hellsten, Torbjörn, Vaclavik, J., Villard, L.

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Teaching computational methods for partial differential equations using the Web von Jaun, A., Hedin, J., Johnson, T.

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What Would it Take to get Biomedical QA Systems into Practice? von Kell, Gregory, Marshall, Iain J, Wallace, Byron C, Jaun, Andre

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