A0978 - Assessing the potential of artificial intelligence for prostate MRI in a diverse multi-centre diagnostic population von Shah, A., Hindley, R., Vasdev, N., Burn, P.R., Hinton, M.D., Rix, A.W., Moreira Da Silva, N., Sala, E.

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Assessing the potential of artificial intelligence for prostate MRI in a diverse multi-centre diagnostic population von Shah, A., Hindley, R., Vasdev, N., Burn, P.R., Hinton, M.D., Rix, A.W., Moreira Da Silva, N., Sala, E.

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Social Cognitive Model of Fruit and Vegetable Consumption in Elementary School Children von Reynolds, Kim D., Hinton, Agnes W., Shewchuk, Richard M., Hickey, Carol A.

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Partners for improved nutrition and health—An innovative collaborative project von Hinton, Agnes W., Rausa, Alfio, Lingafelter, Teresa, Lingafelter, Robert

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Position of The American Dietetic Association: domestic hunger and inadequate access to food von Hinton, A.W, Heimindinger, J, Foerster, S.B

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Early nutrition intervention services for children with special health care needs von Hine, R.J. (University of Alabama at Birmingham, Birmingham, AL), Cloud, H.H, Carithers, T, Hickey, C, Hinton, A.W

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3D bioprinting of collagen to rebuild components of the human heart von Lee, A., Hudson, A. R., Shiwarski, D. J., Tashman, J. W., Hinton, T. J., Yerneni, S., Bliley, J. M., Campbell, P. G., Feinberg, A. W.

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Cryopreserved cell-laden alginate microgel bioink for 3D bioprinting of living tissues von Jeon, O., Lee, Y.B., Hinton, T.J., Feinberg, A.W., Alsberg, E.

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Sa1128 – Altered Gastrointestinal Immunoglobulins, Microbial Communities and Barrier Function are Associated with Peanut Allergy in the Oral Allergy-Prone Cc027/Geniunc Mouse von Steinbach, Erin C., Smeekens, Johanna, Hinton, Andrew, Burks, A.W., Ferris, Martin T., Kulis, Michael

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A new approach to data integration with AI to enhance the specificity of prostate cancer diagnosis von Moreira Da Silva, N.S., Vasdev, N., Budd, J., Yeung, M., Giganti, F., Davies, L., Burn, P.R., Hindley, R.G., Ibrahim, M., Bradley, A.J., Maskell, G., Andreou, A., Liyanage, S., Persad, R., Aning, J., Barrett, T.J., Hinton, M.D.B., Padhani, A.R., Sala, E., Rix, A.W., Shah, A.

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A0726 - A new approach to data integration with AI to enhance the specificity of prostate cancer diagnosis von Moreira Da Silva, N.S., Vasdev, N., Budd, J., Yeung, M., Giganti, F., Davies, L., Burn, P.R., Hindley, R.G., Ibrahim, M., Bradley, A.J., Maskell, G., Andreou, A., Liyanage, S., Persad, R., Aning, J., Barrett, T.J., Hinton, M.D.B., Padhani, A.R., Sala, E., Rix, A.W., Shah, A.

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SOAR/Goodman Spectroscopic Assessment of Candidate Counterparts of the LIGO/Virgo Event GW190814 von Tucker, D. L., Wiesner, M. P., Allam, S. S., Soares-Santos, M., Bom, C. R., Butner, M., Garcia, A., Morgan, R., Olivares E., F., Palmese, A., Santana-Silva, L., Shrivastava, A., Annis, J., García-Bellido, J., Gill, M. S. S., Herner, K., Kilpatrick, C. D., Makler, M., Sherman, N., Amara, A., Lin, H., Smith, M., Swann, E., Arcavi, I., Bachmann, T. G., Bechtol, K., Berlfein, F., Briceño, C., Brout, D., Butler, R. E., Cartier, R., Casares, J., Chen, H.-Y., Conselice, C., Contreras, C., Cook, E., Cooke, J., Dage, K., D’Andrea, C., Davis, T. M., de Carvalho, R., Diehl, H. T., Dietrich, J. P., Doctor, Z., Drlica-Wagner, A., Drout, M., Farr, B., Finley, D. A., Fishbach, M., Foley, R. J., Förster-Burón, F., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Gruendl, R. A., Hartley, W. G., Hiramatsu, D., Holz, D. E., Howell, D. A., Kawash, A., Kessler, R., Kuropatkin, N., Lahav, O., Lundgren, A., Lundquist, M., Malik, U., Mann, A. W., Marriner, J., Marshall, J. L., Martínez-Vázquez, C. E., McCully, C., Menanteau, F., Meza, N., Narayan, G., Neilsen, E., Nicolaou, C., Nichol, R., Paz-Chinchón, F., Pereira, M. E. S., Pineda, J., Points, S., Quirola-Vásquez, J., Rembold, S., Rest, A., Rodriguez, Ó., Romer, A. K., Sako, M., Salim, S., Scolnic, D., Smith, J. A., Strader, J., Sullivan, M., Swanson, M. E. C., Thomas, D., Valenti, S., Varga, T. N., Walker, A. R., Weller, J., Wood, M. L.

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Prevalence of methicillin-resistant Staphylococcus aureus carrying mecA or mecC in dairy cattle von van Duijkeren, E., Hengeveld, P.D., Albers, M., Pluister, G., Jacobs, P., Heres, L., van de Giessen, A.W.

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Divertor heat and particle control experiments on the DIII-D tokamak von Mahdavi, M.A., Allen, S.L., Baker, D.R., Bastasz, B., Brooks, N.H., Buchenauer, D., Campbell, R.B., Cuthbertson, J.W., Evans, T.E., Fenstermacher, M.E., Finkenthal, D.F., Foote, J., Hill, D.N., Hillis, D.L., Hinton, F.L., Hogan, J., Howald, A.W., Hyatt, A.W., Jackson, G.L., Jong, R., Konoshima, S., Lasnier, C., Leonard, A.W., Lippmann, S.I., Maingi, R., Menon, M.M., Mioduszewski, P.K., Moyer, R.A., Ogawa, H., Petrie, T.W., Porter, G.D., Rensink, M.E., Rognlein, T.D., Schaffer, M.J., Schaubel, K.M., Sevier, D.L., Smith, J.P., Staebler, G.M., Sager, G.T., Stambaugh, R.D., Thomas, D., Wade, M.R., Watkins, J.G., Weschenfelder, F., West, W.P., Whyte, D.G., Winter, J., Wong, C.P.C., Wood, R.D.

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Machine-learning-based diagnostics of EEG pathology von Gemein, Lukas A.W., Schirrmeister, Robin T., Chrabąszcz, Patryk, Wilson, Daniel, Boedecker, Joschka, Schulze-Bonhage, Andreas, Hutter, Frank, Ball, Tonio

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Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development von Yuan, Xiaofeng, Li, Lin, Shardt, Yuri A. W., Wang, Yalin, Yang, Chunhua

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Pseudophosphatases as Regulators of MAPK Signaling von Hepworth, Emma Marie Wilber, Hinton, Shantá D

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Soft sensor model for dynamic processes based on multichannel convolutional neural network von Yuan, Xiaofeng, Qi, Shuaibin, Shardt, Yuri A.W., Wang, Yalin, Yang, Chunhua, Gui, Weihua

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Estrogen receptor (ER) α mutations in breast cancer: hidden in plain sight von Fuqua, Suzanne A. W., Gu, Guowei, Rechoum, Yassine

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Using scientific machine learning for experimental bifurcation analysis of dynamic systems von Beregi, Sandor, Barton, David A.W., Rezgui, Djamel, Neild, Simon

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