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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
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