Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers by Yen-Chung Lin, Mai-Szu Wu, Chung-Yi Cheng, Cai-Mei Zheng, Chia-Te Liao, Ting-Wei Chang, Chang-Yu Tsai, Zhen-Yi Tang, Che-Chou Shen

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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis by Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, Abbas Omidi, Sadaf Raoufi, Mahsa Rajabi, Mohammad Esmaeil Akbari, Mehrad Aria

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Pressure Injury Prediction in Intensive Care Units Using Artificial Intelligence: A Scoping Review by José Alves, Rita Azevedo, Ana Marques, Rúben Encarnação, Paulo Alves

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Leveraging genomics and temporal high‐throughput phenotyping to enhance association mapping and yield prediction in sesame by Idan Sabag, Ye Bi, Maitreya Mohan Sahoo, Ittai Herrmann, Gota Morota, Zvi Peleg

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Predicting the risk of drug–drug interactions in psychiatric hospitals: a retrospective longitudinal pharmacovigilance study by Michael Marschollek, Harald Binder, Klaus Kaier, Jan Wolff, Gudrun Hefner, Claus Normann, Katharina Domschke, Christoph Hiemke, Ansgar Klimke

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The Ghent Hybrid model in NuWro: a new neutrino single-pion production model in the GeV regime by Qiyu Yan, Kajetan Niewczas, Alexis Nikolakopoulos, Raúl González-Jiménez, Natalie Jachowicz, Xianguo Lu, Jan Sobczyk, Yangheng Zheng

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Noninvasive Blood Glucose Level Monitoring for Predicting Insulin Infusion Rate Using Multivariate Data by G. Geetha, J. Godwin Ponsam, K. Nimala

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Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data by Wirawan Bayu Andrianto, Siregar Yusni Ikhwan, Sukendi Sukendi, Mulyadi Mulyadi

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Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot by William R. Rolling, Shelby Ellison, Kevin Coe, Massimo Iorizzo, Julie Dawson, Douglas Senalik, Philipp W. Simon

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DTI-RME: a robust and multi-kernel ensemble approach for drug-target interaction prediction by Yuqing Qian, Xin Zhang, Yizheng Wang, Quan Zou, Chen Cao, Yijie Ding, Xiaoyi Guo

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Predicting the Young’s Modulus of Concrete Using a Particle-Based Movable Cellular Automata Method by Dorota Aniszewska, Marek Rybaczuk

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Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements. by Dimitris K Agrafiotis, Eric Yang, Gary S Littman, Geert Byttebier, Laura Dipietro, Allitia DiBernardo, Juan C Chavez, Avrielle Rykman, Kate McArthur, Karim Hajjar, Kennedy R Lees, Bruce T Volpe, Michael Krams, Hermano I Krebs

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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

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Assessing the performance of QLQ-C30 in predicting all-cause mortality in community cancer patients by Jin Zhao, Yanmin Wang, Weidong Huang, Richard H Xu, Xiaoming Yang, Pei Wang

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Personalizing age‐specific survival prediction and risk stratification in intracranial grade II/III ependymoma by Xiangyang Deng, Xiaojia Zhang, Liang Yang, Xiangqi Lu, Junhao Fang, Lisheng Yu, Dandong Li, Hansong Sheng, Bo Yin, Nu Zhang, Jian Lin

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The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

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TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model by Steven I. Higgins, Arne Burkhardt, Timo Conradi, Edward Muhoko

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Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions by Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, Silvan Hornstein, Corinna Jacobi, Burkhardt Funk

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Permeability Prediction for Ajeel Oilfield/ Tertiary Reservoir by Integrating Rock Typing Approach with FZI Method by Vian M. Ahmed, Ayad A. Al-Haleem

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Efficient management of neonatal sepsis diagnosis using predictive analytics methods: a scoping review by KVKL Narasimha Rao, Pradeep Kumar Dadabada, Sanjita Jaipuria

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