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ORCIDPatterns, Volume 7
Volume 7, Number 1, 2026
- Thomas Burger:
Keeping generative artificial intelligence reliable in omics biology. 101417 - Enrica Nestola
, Gregorio Sgrigna, Gianmarco Ingrosso, Andrea Tarallo, Davide Raho, Cristina Di Muri, Alexandra Nicoleta Muresan, Ilaria Rosati:
Assessing the adoption of the FAIR principles in Italian environmental research infrastructures. 101420 - Thomas Nortmann, Philip Sulewski, Tim C. Kietzmann:
Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision. 101422 - Tuo An, Yunjiao Zhou, Han Zou, Jianfei Yang:
IoT-LLM: A framework for enhancing large language model reasoning from real-world sensor data. 101429 - Alex De Vries:
The carbon and water footprints of data centers and what this could mean for artificial intelligence. 101430 - Galina Tremper, Torben Brenner, Moanes Ben Amor, Tobias Kussel, Martin Lablans:
Mainzelliste: Ten years of pseudonymization, record linkage, and informed consent management. 101432 - Arend Hintze, Frida Proschinger Åström, Jory Schossau:
Autonomous language-image generation loops converge to generic visual motifs. 101451 - Sarah Samorodnitsky, Katie Campbell, Amarise Little, Wodan Ling, Ni Zhao, Yen-Chi Chen, Michael C. Wu:
Detecting clinically relevant topological structures in multiplexed spatial proteomics using TopKAT. 101456 - Erik Hoel:
Quantifying emergent complexity. 101472 - Zhicheng Lin, Aamir Sohail:
Recalibrating academic expertise in the age of generative AI. 101473 - Olive R. Cawiding, Yun Min Song, Jae Kyoung Kim:
A reframed landscape of causal emergence. 101476
Volume 7, Number 2, 2026
- Clinton M. Holt, Alexis K. Janke, Parastoo Amlashi, Parker J. Jamieson, Toma M. Marinov, Ivelin S. Georgiev:
Contrastive learning enables epitope overlap predictions for targeted antibody discovery. 101419 - Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love:
Confidence-weighted integration of human and machine judgments for superior decision-making. 101423 - Oriol Gracia Carmona, Vilde Leipart, Gro V. Amdam, Christine A. Orengo, Franca Fraternali:
Leveraging protein language models and a scoring function for indel characterization and transfer learning. 101425 - Xiang Zhang, Mingyue Zhao, Fei Yao, Wenxin Ma, Jin Zhang, Yueze Li, Xiuxiu Zhou, Yu Guan, Yi Xiao, Li Fan, Shaohua Kevin Zhou, Shiyuan Liu:
A self-supervised framework for emphysema anomaly detection and staging in computed tomography scans. 101426 - Tianyu Liu, Tianqi Chen, Wangjie Zheng, Xiao Luo, Yiqun Chen, Hongyu Zhao:
Embeddings from language models are good learners for single-cell data analysis. 101431 - Jiaru Jia, Mingzhe Liu, Dongfen Li, Xin Chen, Ruili Wang, Linlin Zhuo, Keqin Li:
A label masked autoencoder for image-guided segmentation label completion. 101455 - Minjun Kang, Seungdae Baek, Se-Bum Paik:
Prewired static visual receptive fields for environment-agnostic perception. 101475 - Michael F. Gensheimer:
Creating strong predictive models in oncology. 101492 - Alan W. Freeman:
Making neural networks more neural. 101494
Volume 7, Number 3, 2026
- Madhumita Mondal, Yasharth Yadav, Jürgen Jost, Areejit Samal:
Node persistence from topological data analysis reveals changes in brain functional connectivity. 101427 - Fei Ma, Haobo Zhang, Siyi Fang, Qimei Wang, Fan Lin, Lianying Chao, Zhiwei Wang, Qiang Li, Peng Zhang:
Hierarchical fusion of electrocardiogram and phonocardiogram data improves heart failure detection. 101448 - Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon:
Variable rate neural compression for sparse detector data. 101452 - Hanna M. Tolle, Andrea I. Luppi, Anil K. Seth, Pedro A. M. Mediano:
Evolving reservoir computers reveal bidirectional coupling between predictive power and emergent dynamics. 101457 - Chapin S. Korosec, Jessica M. Conway, Vitaliy A. Matveev, Mario A. Ostrowski, Jane M. Heffernan, Mohammad Sajjad Ghaemi:
Modeling of longitudinal immune profiles reveals distinct immunogenic signatures following five COVID-19 vaccinations among people living with HIV. 101474 - Yong Chen, Chenlei Liao, Zeen Cai, Wanru Wang, Yingji Xia, Xiqun Michael Chen, Jianjun Wu, Ziyou Gao:
Promoting sustainable human mobility for income segregation mitigation. 101477 - Anand K. Gavai, Miranda P. M. Meuwissen:
Agentic AI as a coordination paradigm in digital health and agri-food systems. 101496 - Georgia Channing, Avijit Ghosh:
AI for scientific discovery is a social problem. 101497 - Irving Torres:
A call to join a collective effort on AI evaluation. 101512 - Lizhen Zhu, Chaewan Chun, Kathryn Brown, James Z. Wang:
Mapping the flow of painterly gesture. 101516
Volume 7, Number 4, 2026
- Maria Kuzikov, Adelinn Kalman, Reagon Karki, Jeanette Reinshagen, Johanna Huchting, Kun Qian, Hanna Axelsson, Marianna Tampere, Päivi Östling, Brinton Seashore-Ludlow, Yojana Gadiya, Philip Gribbon, Andrea Zaliani:
Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis. 101453 - Akshat Dubey, Aleksandar Anzel, Bahar Ilgen, Georges Hattab:
UbiQTree: Uncertainty quantification in XAI with tree ensembles. 101454 - Roque Lopez, Aécio S. R. Santos, Christos Koutras, Juliana Freire:
BDI-Kit: An AI-powered toolkit for biomedical data harmonization. 101470 - Zuozhu Liu, Songtao Jiang, Tianxiang Hu, Ziwei Xue, Yuhui Chen, Dengfeng Ruan, Haoxiang Xia, Yang Feng, Jin Hao, Wei Li, Joey Tianyi Zhou, Bing Fang, Jian Wu, Wanlu Liu:
DestinyNet: A deep-learning framework for cell-fate analysis from lineage-tracing single-cell RNA sequencing data. 101471 - George Vengrovski, Miranda R. Hulsey-Vincent, Melissa A. Bemrose, Timothy J. Gardner:
TweetyBERT: Automated parsing of birdsong through self-supervised machine learning. 101491
Volume 7, Number 5, 2026
- Patrick Kuckertz, Benjamin Fuchs, Julian Schönau, Hedda Gardian, Kevin Knosala, Eugenio Salvador Arellano Ruiz, Jan Göpfert, Hans Christian Gils, Jann M. Weinand, Patrick Jochem, Jochen Linßen, Detlef Stolten:
A framework for reproducibly managing coupled research software and data assets based on shared transformation functions. 101493 - Yuhao Zhou, Wenhao Chen, María Óskarsdóttir, Matthew Davison, Cristián Bravo:
Unveiling gender disparities in corporate board career paths using deep learning. 101495 - Benjamin S. Mashford, Timothy Hewitt, Maryam May, Zixin Zhuang, Akshat Jain, Koula E. M. Diamand, Fei-Ju Li, Kristy Kwong, Stuart H. Read, Ainsley R. Davies, Dillon Hammill, T. Daniel Andrews:
VoxelCoder: Classification of human cellular phenotypes via autoencoder batch alignment and hyperdimensional representation of cytometry data. 101511 - Victor Gimenez-Abalos, Sergio Álvarez-Napagao, Adrián Tormos, Sara Montese, Ulises Cortés, Javier Vázquez-Salceda:
Intentional policy graphs: A pipeline for explaining agent behavior through intentions. 101513 - Dave Bunten, Jenna Tomkinson, Erik Serrano, Michael J. Lippincott, Kenneth I. Brewer, Vincent Rubinetti, Faisal Alquaddoomi, Gregory P. Way:
Scalable data harmonization for single-cell image-based profiling with CytoTable. 101514 - Ting Wang, Zipei Yan, Hongyi Pan, Kai Zhang, Michael K.-P. Ng, Xiqian Yu, Chao Wang, Jizhou Li:
Data-driven deformation correction in X-ray spectro-tomography with implicit neural networks. 101515 - Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk, James Dao, Soroush Pour, Stephen Casper, Neil Thompson:
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence. 101517 - Wojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg, Danyal Akarca, Martin Buttenschoen, Rory T. Byrne, Kieran Didi, Kristina Kordova, Jakub Lála, Jonathon Langford, Austin M. Mroz, Puria Radmard, Filip T. Szczypinski, Eva Sevenster, Inga Van den Bossche, Michal Wójcik:
Organizing across disciplines to tackle shared computational challenges. 101518 - Can Wang, Yiqun Chen:
Evaluating large language models for evidence-based clinical question answering. 101519 - Michael A. Lones:
Pitfalls and risks of generative AI in machine learning. 101534 - Chaoyu Lei, Ying Zuo, Claudia Isabel Marques de Abreu Lopes, Jaimee Stuart, Benjamin Xu, T. Y. Alvin Liu, Thomas Ploug, Zilong Wang, Kang Dang, Kai Jin, Haoxuan Yu, Heaven Yeshaneh Tatere, Fanyi Kong, Ning Zhang, Lufa Zhang, Huifang Zhou:
Centering the marginalized: AI-driven strategies for advancing health equity in rare disease care. 101535 - Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar, Jimiama Mafeni Mase, Reza Omidvar, Ruizhe Li, Troy Kettle, James Mitchell-White, Morgan R. Alexander, David A. Winkler, Grazziela Patrocinio Figueredo:
Helix 1.0: An open-source framework for reproducible and interpretable machine learning on tabular scientific data. 101536 - Alec D. Maccall:
Navigating the manifold: A transformative approach to AI image generation. 101539 - Andrei Biswas, Rajagopal Venkatesaramani:
Encouraging productive struggle in the age of generative AI. 101540 - Yuhao Zhou, María Óskarsdóttir, Cristián Bravo:
Breaking the glass ceiling: An interview with Yuhao (Jet) Zhou, María Óskarsdóttir, and Cristián Bravo. 101541
Volume 7, Number 6, 2026
- Nicholas Mitsakakis, Dan Liu, Thomas Walters, Khaled El Emam:
Sample size calculation for training ensemble machine learning models on health data. 101498 - Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Yifan Gao, Ka-Wa Yip, Huajin Tang, Gang Pan, Panayiota Poirazi, Tiejun Huang:
Dendritic nonlinearities mitigate communication costs. 101520 - Yasushi Okochi, Takaaki Matsui, Shunta Sakaguchi, Takefumi Kondo, Honda Naoki:
Zero-shot reconstruction of mutant spatial transcriptomes. 101521 - Sanghyun Kim, Gihyeon Jeon, Seungwoo Hwang, Jiho Lee, Jisu Jung, Seungwu Han, Sungwoo Kang:
Are diffusion models ready for materials discovery in unexplored chemical space? 101537 - Guoxun Zhang, Zebin Gao, Caohui Duan, Jiaxin Liu, Yuerong Lizhu, Yaou Liu, Qian Chen, Ling Wang, Kailun Fei, Tianyun Wang, Yujia Chen, Yanchen Guo, Feng Xu, Yuchen Guo, Xin Lou, Qionghai Dai:
A multi-modal foundation model for brain disease diagnosis and medical imaging. 101538 - Kevin A. Yamauchi, Virginie Uhlmann:
Bridging annotated microscopy imaging data and analysis method development for scientific discovery. 101542 - Guanglong Sun, Ning Huang, Hongwei Yan, Jun Zhou, Qian Li, Bo Lei, Yi Zhong, Liyuan Wang:
Spacing effect improves generalization in biological and artificial systems. 101564 - Bruce S. Kristal, Melissa D. McCradden, Jeyan Thiyagalingam, Zijun Zhang, Carole A. Goble:
Five views on the foundations of data science. 101566 - Abdullah Hasan Safir, Alan F. Blackwell, Ramit Debnath:
Resisting epistemic loss in AI image generation. 101568 - Diyana Muhammed, Giusy Giulia Tuccari, Gollam Rabby, Sören Auer, Sahar Vahdati:
SelfCheck-Eval: A multi-module framework for zero-resource hallucination detection in large language models. 101569 - Wang Bo, Along He, Ting Xue, Yue Zhang, Yi Xiao, Shiyuan Liu, Shaohua Kevin Zhou:
DuoMod-Net: Logarithmic balancing and geometric refinement for imbalanced semi-supervised medical image segmentation. 101570 - Anand K. Gavai, Miranda P. M. Meuwissen:
Agentic AI as a coordination paradigm in digital health and agri-food systems. 101584 - Huixin Zhan, Jason H. Moore:
Moving from disclosure to substance in AI transparency. 101585
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