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Patterns (New York, N.Y.)|June 22, 2026
Moving from disclosure to substance in AI transparencyHuixin Zhan, Jason H MoorePatterns (New York, N.Y.)|May 14, 2026
Encouraging productive struggle in the age of generative AIAndrei Biswas, Rajagopal VenkatesaramaniPatterns (New York, N.Y.)|July 14, 2020
gfoRmula: An R Package for Estimating the Effects of Sustained Treatment Strategies via the Parametric g-formulaSean McGrath, Victoria Lin, Zilu Zhang, et al.Patterns (New York, N.Y.)|December 9, 2020
Model-Driven Decision Making in Multiple Sclerosis Research: Existing Works and Latest TrendsRayan Alshamrani, Ashrf Althbiti, Yara Alshamrani, et al.Patterns (New York, N.Y.)|July 15, 2026
Tina: A diffusion neural network for generating personalized AI models from text promptsZexi Li, Lingzhi Gao, Dongqi Cai, et al.Patterns (New York, N.Y.)|July 15, 2026
EnzymeHunter: Achieving fine-grained enzyme function prediction with a hierarchically aware contrastive learning frameworkGuoxin Cao, Jian Ouyang, Xiangyi Xiong, et al.Patterns (New York, N.Y.)|November 25, 2021
Data-centric approach to improve machine learning models for inorganic materialsChristopher J BartelPatterns (New York, N.Y.)|August 22, 2026
RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AIDaniel Valdenegro, Jiani Yan, Duiyi Dai, et al.Patterns (New York, N.Y.)|August 22, 2026
BioMaster: Multi-agent system for automated bioinformatics analysis workflowHoucheng Su, Junning Feng, Yawen Lu, et al.Patterns (New York, N.Y.)|September 16, 2026
Designing reproducible large-language-model-assisted scientific analysesCasey W Dunn, Darrin T Schultz, Jacob M MusserPageof 95