Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report by Pieter Meysman, Justin Barton, Barbara Bravi, Liel Cohen-Lavi, Vadim Karnaukhov, Elias Lilleskov, Alessandro Montemurro, Morten Nielsen, Thierry Mora, Paul Pereira, Anna Postovskaya, María Rodríguez Martínez, Jorge Fernandez-de-Cossio-Diaz, Alexandra Vujkovic, Aleksandra M. Walczak, Anna Weber, Rose Yin, Anne Eugster, Virag Sharma

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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

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Predicting neurodevelopmental outcomes from neonatal cortical microstructure: A conceptual replication study by Andrea Gondová, Sara Neumane, Yann Leprince, Jean-François Mangin, Tomoki Arichi, Jessica Dubois

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Time Series Modeling of Tuberculosis Cases in India from 2017 to 2022 Based on the SARIMA-NNAR Hybrid Model by Baikunth Kumar Yadav, Sunil Kumar Srivastava, Ponnusamy Thillai Arasu, Pranveer Singh

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Artificial Intelligence–Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart Disease by Scott Anjewierden, MD, Donnchadh O'Sullivan, MB, BCh, BAO, Kathryn E. Mangold, PhD, Itzhak Zachi Attia, PhD, Francisco Lopez-Jimenez, MD, Paul A. Friedman, MD, Alexander C. Egbe, MBBS, MPH, Heidi M. Connolly, MD, William R. Miranda, MD, Samuel J. Asirvatham, MD, Jennifer Dugan, Katia Bravo-Jaimes, MD, Talha Niaz, MBBS, Malini Madhavan, MBBS, Luke J. Burchill, MBBS, PhD

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Microstructural diffusion MRI for differentiation of breast tumors and prediction of prognostic factors in breast cancer by Xiaoyan Wang, Yan Zhang, Jingliang Cheng, Liangjie Lin, Ying Hu, Anfei Wang, Yong Zhang, Ruhua Wang, Ying Li, Kun Zhang, Wenhua Zhang

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Overexpression of JAML in colorectal cancer cells predicts higher radiosensitivity by inactivating ATR pathway by Mingyan Zhang, Wenhui Shi, Yanan Liu, Yufeng Wang, Yinying Dong, Chunsheng Yang, Yawen Zheng, Ning Liu, Yan Zheng, Meili Sun

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Traffic Noise Models for Curved Roads by Diana Ioana POPESCU, Ioan COSMA

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Integration of genomic and pharmacokinetic data to predict clinical outcomes in HIV-associated cryptococcal meningitis by Dr Katharine Stott, Mr Jason Mohabir, Miss Kate Bowers, Assistant Professor Jennifer Tenor, Associate Professor Dena Tofaletti, Dr Jennifer Unsworth, Ms Ana Jimenez-Valverde, Mr Ajisa Ahmadu, Dr Melanie Moyo, Mrs Ebbie Gondwe, Mrs Wezi Chimang'anga, Mr Madalitso Chasweka, Dr David Lawrence, Professor Joseph Jarvis, Professor Tom Harrison, Professor William Hope, Professor David Lalloo, Professor Henry Mwandumba, Professor John Perfect, Professor Christina Cuomo

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PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH by Abdul-razak Bawa Yussif, Fatih Mangır, Zeynep Karaçor, Ayten Yağmur

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Modeling of pharmacokinetic/pharmacodynamic parameters in regular intermittent intravenous infusion and translational application of the models in personalized antibiotics dosing by Xiangqing Song

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Locust Collective Motion and Its Modeling. by Gil Ariel, Amir Ayali

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MODELLING OF POSTSEISMIC PROCESSES IN SUBDUCTION ZONES by Irina S. Vladimirova

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Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach by Jameson Augustin, Munisamy Gopinath, Berna Karali, Yuhan Rao

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On Usage of Artificial Intelligence for Predicting Neonatal Diseases, Conditions, and Mortality: A Bibliometric Review by Flavio Leandro de Morais, Raysa Carla Leal da Silva, Anna Beatriz Silva, Estefani Pontes Simao, Maria Eduarda Ferro de Mello, Stephany Paula da Silva Canejo, Katia Maria Mendes, Waldemar Brandao Neto, Jackson Raniel Florencio da Silva, Maicon Herverton Lino Ferreira da Silva Barros, Patricia Takako Endo

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Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach by Isha Gupta, Anu Bajaj, Manav Malhotra, Vikas Sharma, Ajith Abraham

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Use of childhood adversity and mental health admission patterns to predict suicide in young people by Anna Tarasenko, Dennis Ougrin

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Development and validation of survival prediction tools in early and late onset colorectal cancer patients by Wanling Li, Jinshan Liu, Yuntong Lan, Dongling Yu, Bingqiang Zhang

“…Abstract This study aims to develop online calculators using machine learning models to predict survival probabilities for early- and late-onset colorectal cancer (EOCRC and LOCRC) over a 1- to 8-year period. …”
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Analysis of the Full Spitzer Microlensing Sample. I. Dark Remnant Candidates and Gaia Predictions by Krzysztof A. Rybicki, Yossi Shvartzvald, Jennifer C. Yee, Sebastiano Calchi Novati, Eran O. Ofek, Ian A. Bond, Charles Beichman, Geoff Bryden, Sean Carey, Calen Henderson, Wei Zhu, Michael M. Fausnaugh, Benjamin Wibking, The Spitzer Team, Andrzej Udalski, Radek Poleski, Przemek Mróz, Michał K. Szymański, Igor Soszyński, Paweł Pietrukowicz, Szymon Kozłowski, Jan Skowron, Krzysztof Ulaczyk, Patryk Iwanek, Marcin Wrona, The OGLE Collaboration, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Andrew Gould, Cheongho Han, Kyu-Ha Hwang, Youn Kil Jung, In-Gu Shin, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Hyoun-Woo Kim, Seung-Lee Kim, Chung-Uk Lee, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge, The KMTNet Collaboration, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Rintaro Kirikawa, Naoki Koshimoto, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tutumi Nagai, Kansuke Nunota, Greg Olmschenk, Clement Ranc, Nicholas J. Rattenbury, Yuki K. Satoh, Takahiro Sumi, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, MOA collaboration, Łukasz Wyrzykowski, Kornel Howil, Katarzyna Kruszyńska

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Integrating pollinators’ movements into pollination models by Juliane Mailly, Louise Riotte-Lambert, Mathieu Lihoreau

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