Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

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Visual impairment predicts greater declines in physical performance over time: the Health, Aging and Body Composition Study by Atalie C. Thompson, Michael E. Miller, Christopher Webb, Jeff D. Williamson, Stephen B. Kritchevsky

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Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target by Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Juhong Yang, Jianjun Qiao, Jianjun Qiao

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Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data by Ashkan Pirmani, Edward De Brouwer, Ádám Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, Dana Horakova, Eva Kubala Havrdova, Francesco Patti, Alexandre Prat, Alessandra Lugaresi, Valentina Tomassini, Pierre Grammond, Elisabetta Cartechini, Izanne Roos, Cavit Boz, Raed Alroughani, Maria Pia Amato, Katherine Buzzard, Jeannette Lechner-Scott, Joana Guimarães, Claudio Solaro, Oliver Gerlach, Aysun Soysal, Jens Kuhle, Jose Luis Sanchez-Menoyo, Daniele Spitaleri, Tunde Csepany, Bart Van Wijmeersch, Radek Ampapa, Julie Prevost, Samia J. Khoury, Vincent Van Pesch, Nevin John, Davide Maimone, Bianca Weinstock-Guttman, Guy Laureys, Pamela McCombe, Yolanda Blanco, Ayse Altintas, Abdullah Al-Asmi, Justin Garber, Anneke Van der Walt, Helmut Butzkueven, Koen de Gans, Csilla Rozsa, Bruce Taylor, Talal Al-Harbi, Attila Sas, Cecilia Rajda, Orla Gray, Danny Decoo, William M. Carroll, Allan G. Kermode, Marzena Fabis-Pedrini, Deborah Mason, Angel Perez-Sempere, Mihaela Simu, Neil Shuey, Bhim Singhal, Marija Cauchi, Todd A. Hardy, Sudarshini Ramanathan, Patrice Lalive, Carmen-Adella Sirbu, Stella Hughes, Tamara Castillo Trivino, Liesbet M. Peeters, Yves Moreau

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Off-tumor IDO1 target engagements determine the cancer-immune set point and predict the immunotherapeutic efficacy by Lulu Zhang, Yihai Cao, Lin Xie, Ming-Rong Zhang, Kuan Hu, Yanhong Duo, Takashi Shimokawa, Katsushi Kumata, Yiding Zhang, Cuiping Jiang, Nobuki Nengaki, Hidekatsu Wakizaka

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Value of original and modified pathological scoring systems for prognostic prediction in paraffin-embedded donor kidney core biopsy by Jinghong Tan, Huanxi Zhang, Longshan Liu, Jun Li, Qian Fu, Yan Li, Chenglin Wu, Ronghai Deng, Jiali Wang, Bowen Xu, Wenfang Chen, Shicong Yang, Changxi Wang

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The use of diffusion-weighted magnetic resonance imaging and parametric response mapping for disease outcome prediction in nasopharyngeal carcinoma by Akarapong Teeraakaravipas, Napat Ritlumlert, Yothin Rakvongthai, Tunchanok Paprad, Chawalit Lertbutsayanukul, Nutchawan Jittapiromsak

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Greater baseline cortical atrophy in the dorsal attention network predicts faster clinical decline in Posterior Cortical Atrophy by Yuta Katsumi, Ryan Eckbo, Marianne Chapleau, Bonnie Wong, Scott M. McGinnis, Alexandra Touroutoglou, Bradford C. Dickerson, Deepti Putcha

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FPG Score: A Rapid Admission‐Based Tool for Predicting In‐Hospital Mortality in Elderly Hip Fracture Patients by Marcello Covino, Guido Bocchino, Maria Beatrice Bocchi, Chiara Barbieri, Benedetta Simeoni, Antonio Gasbarrini, Francesco Franceschi, Giulio Maccauro, Raffaele Vitiello

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Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization by Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli

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Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities by Zhaoxiang Liu, Lianhao Zhou, Wenhui Zhao, Lixia Jin, Jinping Zhang, Yajing Zhang, Yufeng Li, Guixia Deng, Jiquan He, Xinghua Zhao, Wenli Zheng, Yong Tian, Ji Wu, Ji Wu, Jianzhong Xiao, Jianzhong Xiao, Jiandong Gao, Jiandong Gao

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TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury by Shubhayu Bhattacharyay, Florian D. van Leeuwen, Erta Beqiri, Cecilia A. I. Åkerlund, Lindsay Wilson, Ewout W. Steyerberg, David W. Nelson, Andrew I. R. Maas, David K. Menon, Ari Ercole, the CENTER-TBI investigators and participants

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Monitoring and Prediction of Monthly Drought using Standardized Precipitation Index and Markov Chain (Case study: southeast of Iran) by Abdol Rassoul Zarei, Moohamad Mehdi Moghimi, Mehdi Bahrami

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UJI AKTIVITAS ANTIOKSIDAN PADA MODIFIKASI SENYAWA KHRISIN DENGAN GUGUS ALKOKSI MENGGUNAKAN METODE RECIFE MODEL 1 (RM1) by FK Nisa, Kasmui Kasmui, Harjito Harjito

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De l'avidité des rebelles : l'analyse économique de la guerre civile selon Paul Collier by Roland Marchal, Christine Messiant

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An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques by Hazrat Bilal, Yibin Tian, Ahmad Ali, Yar Muhammad, Abid Yahya, Basem Abu Izneid, Inam Ullah

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Formulation and implementation of nonlinear elasticity in advanced constitutive models in geomechanics by Tereza Žalská, Michal Šejnoha, Tomáš Janda, Alena Zemanová

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Modeling the Future of Hydroelectric Power: A Cross-Country Study by Farooq Ahmad, Livio Finos, Mariangela Guidolin

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AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts by Stephen G. Penny

“…Abstract A new approach called cross‐attractor transforms (Agarwal et al., 2025, https://doi.org/10.1029/2024gl110472) aims to improve weather forecasts by using neural networks to learn optimal maps between nature and imperfect numerical weather prediction (NWP) models. …”
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AVP-GPT2: A Transformer-Powered Platform for De Novo Generation, Screening, and Explanation of Antiviral Peptides by Huajian Zhao, Gengshen Song

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