P7 PI-RADS score 5 as a beacon for Prostate-specific mortality von Shadbahr, T., Pylväläinen, J., Hoffström, J., Kenttämies, A., Mirtti, T., Laajala, T.D., Rannikko, A.S.

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P323 - PI-RADS score 5 is a strong predictor for rapid prostate cancer specific death von Shadbahr, T., Pylväläinen, J., Hoffström, J., Kenttämies, A., Mirtti, T., Laajala, T.D., Rannikko, A.

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PI-RADS score 5 is a strong predictor for rapid prostate cancer specific death von Shadbahr, T., Pylväläinen, J., Hoffström, J., Kenttämies, A., Mirtti, T., Laajala, T.D., Rannikko, A.

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Negative MRI rules out clinically significant prostate cancer regardless of PI-RADS era von Shadbahr, T., Pylväläinen, J., Hoffström, J., Kenttämies, A., Mirtti, T., Laajala, T.D., Rannikko, A.S.

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P334 - Negative MRI rules out clinically significant prostate cancer regardless of PI-RADS era von Shadbahr, T., Pylväläinen, J., Hoffström, J., Kenttämies, A., Mirtti, T., Laajala, T.D., Rannikko, A.S.

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Prognostic impact of prostate cancer grade inflation in targeted biopsies von Batouche, A.O., Czeizler, E., Lehto, T-P., Erickson, A., Shadbahr, T., Pohjonen, J., Mirtti, T., Rannikko, A.S.

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A0958 - Prognostic impact of prostate cancer grade inflation in targeted biopsies von Batouche, A.O., Czeizler, E., Lehto, T-P., Erickson, A., Shadbahr, T., Pohjonen, J., Mirtti, T., Rannikko, A.S.

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A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data von Breger, Anna, Selby, Ian, Roberts, Michael, Babar, Judith, Gkrania-Klotsas, Effrossyni, Preller, Jacobus, Escudero Sánchez, Lorena, Rudd, James H. F., Aston, John A. D., Weir-McCall, Jonathan R., Sala, Evis, Schönlieb, Carola-Bibiane

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Navigating the development challenges in creating complex data systems von Dittmer, S, Roberts, M, Gilbey, J, Biguri, A, Selby, I, Breger, A, Thorpe, M, Weir-McCall, JR, Gkrania-Klotsas, E, Korhonen, A, Jefferson, E, Langs, G, Yang, G, Prosch, H, Stanczuk, J, Tang, J, Babar, J, Escudero Sánchez, L, Teare, P, Patel, M, Wassin, M, Holzer, M, Walton, N, Lió, P, Shadbahr, T, Sala, E, Preller, J, Rudd, JHF, Aston, JAD, Schönlieb, CB

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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans von Roberts, M, Driggs, D, Thorpe, M, Gilbey, J, Yeung, M, Ursprung, S, Aviles-Rivero, AI, Etmann, C, McCague, C, Beer, L, Weir-McCall, JR, Teng, Z, Gkrania-Klotsas, E, Ruggiero, A, Korhonen, A, Jefferson, E, Ako, E, Langs, G, Gozaliasl, G, Yang, G, Prosch, H, Preller, J, Stanczuk, J, Tang, J, Hofmanninger, J, Babar, J, Sánchez, LE, Thillai, M, Gonzalez, PM, Teare, P, Zhu, X, Patel, M, Cafolla, C, Azadbakht, H, Jacob, J, Lowe, J, Zhang, K, Bradley, K, Wassin, M, Holzer, M, Ji, K, Ortet, MD, Ai, T, Walton, N, Lio, P, Stranks, S, Shadbahr, T, Lin, W, Zha, Y, Niu, Z, Rudd, JHF, Sala, E, Schönlieb, CB

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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans von Roberts, M, Driggs, D, Thorpe, M, Gilbey, J, Yeung, M, Ursprung, S, Aviles-Rivero, AI, Etmann, C, McCague, C, Beer, L, Weir-McCall, JR, Teng, Z, Gkrania-Klotsas, E, Ruggiero, A, Korhonen, A, Jefferson, E, Ako, E, Langs, G, Gozaliasl, G, Yang, G, Prosch, H, Preller, J, Stanczuk, J, Tang, J, Hofmanninger, J, Babar, J, Sánchez, LE, Thillai, M, Gonzalez, PM, Teare, P, Zhu, X, Patel, M, Cafolla, C, Azadbakht, H, Jacob, J, Lowe, J, Zhang, K, Bradley, K, Wassin, M, Holzer, M, Ji, K, Ortet, MD, Ai, T, Walton, N, Lio, P, Stranks, S, Shadbahr, T, Lin, W, Zha, Y, Niu, Z, Rudd, JHF, Sala, E, Schönlieb, CB

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SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets von Zheng, Shuyu, Wang, Wenyu, Aldahdooh, Jehad, Malyutina, Alina, Shadbahr, Tolou, Tanoli, Ziaurrehman, Pessia, Alberto, Tang, Jing

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Affordable and efficient adsorbent for arsenic removal from rural water supply systems in Newfoundland von Shadbahr, Javid, Husain, Tahir

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Experimental and Computational Synergistic Design of Cu and Fe Catalysts for the Reverse Water–Gas Shift: A Review von Pahija, Ergys, Panaritis, Christopher, Gusarov, Sergey, Shadbahr, Jalil, Bensebaa, Farid, Patience, Gregory, Boffito, Daria Camilla

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Impact of forest harvest intensity and transportation distance on biomass delivered costs within sustainable forest management - A case study in southeastern Canada von Shadbahr, Jalil, Bensebaa, Farid, Ebadian, Mahmood

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Review of the global evolution of regulations on single-use plastics and lessons drawn for Canada von Ahmadi, Leila, Shadbahr, Jalil, Shim, Gene Woojin, Hawco, Michael

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DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal von Zheng, Shuyu, Aldahdooh, Jehad, Shadbahr, Tolou, Wang, Yinyin, Aldahdooh, Dalal, Bao, Jie, Wang, Wenyu, Tang, Jing

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Kinetic modeling and dynamic analysis of simultaneous saccharification and fermentation of cellulose to bioethanol von Shadbahr, Jalil, Khan, Faisal, Zhang, Yan

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Sustainability assessment of catalyst design on CO2-derived fuel production von Shadbahr, Jalil, Peeples, Craig A., Pahija, Ergys, Panaritis, Christopher, Boffito, Daria Camilla, Patience, Gregory, Bensebaa, Farid

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Impact of waste management and conversion technologies on cost and carbon footprint - Case studies in rural and urban cities von Shadbahr, Jalil, Ebadian, Mahmood, Gonzales-Calienes, Giovanna, Kannangara, Miyuru, Ahmadi, Leila, Bensebaa, Farid

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