- Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt, Ole Winther
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Can large language models reason about medical questions? Patterns 5(3): 100943 (2024) - Ruoqi Liu, Pin-Yu Chen, Ping Zhang:
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation. Patterns 5(6): 100973 (2024) - Yi Liu, Yuelei Zhang, Xiao Chang, Xiaoping Liu
:
MDIC3: Matrix decomposition to infer cell-cell communication. Patterns 5(2): 100911 (2024) - Leticia Márquez-Magaña:
Anti-deficit is anti-racist and transformative. Patterns 5(3): 100934 (2024) - Yosra Magdi Mekki:
Physicians should build their own machine-learning models. Patterns 5(3): 100948 (2024) - Ahmad Nasimian, Saleena Younus, Özge Tatli, Emma U. Hammarlund, Kenneth J. Pienta, Lars Rönnstrand, Julhash U. Kazi
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AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data. Patterns 5(1): 100897 (2024) - Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T. C. Wong, Xiaoning Qian:
MUSTANG: Multi-sample spatial transcriptomics data analysis with cross-sample transcriptional similarity guidance. Patterns 5(6): 100986 (2024) - Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang
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An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns 5(1): 100898 (2024) - Peter S. Park, Simon Goldstein, Aidan O'Gara, Michael Chen, Dan Hendrycks:
AI deception: A survey of examples, risks, and potential solutions. Patterns 5(6): 100988 (2024) - Hanchuan Peng
, Peng Xie, Feng Xiong:
Meet the authors: Hanchuan Peng, Peng Xie, and Feng Xiong. Patterns 5(1): 100912 (2024) - Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
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FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns 5(1): 100893 (2024) - Bo Qian, Hao Chen, Xiangning Wang, Zhouyu Guan, Tingyao Li, Yixiao Jin, Yilan Wu, Yang Wen, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Dawei Yang
, Bin Sheng:
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. Patterns 5(3): 100929 (2024) - Suraj Rajendran
, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
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Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5(2): 100913 (2024) - Eve Richardson, Raphael Trevizani, Jason A. Greenbaum, Hannah Carter, Morten Nielsen, Bjoern Peters:
The receiver operating characteristic curve accurately assesses imbalanced datasets. Patterns 5(6): 100994 (2024) - Georgios Rizos
, Jenna Lawson, Simon Mitchell, Pranay Shah, Xin Wen, Cristina Banks-Leite, Robert M. Ewers, Björn W. Schuller:
Propagating variational model uncertainty for bioacoustic call label smoothing. Patterns 5(3): 100932 (2024) - Georgios Rizos
, Jenna L. Lawson, Björn W. Schuller:
Meet the authors: Georgios Rizos, Jenna L. Lawson, and Björn W. Schuller. Patterns 5(3): 100952 (2024) - Abdelrahman Sharafeldin, Nabil Imam, Hannah Choi:
Active sensing with predictive coding and uncertainty minimization. Patterns 5(6): 100983 (2024) - Matthew J. Sniatynski
, John A. Shepherd, Lynne R. Wilkens, D. Frank Hsu, Bruce S. Kristal
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The DIRAC framework: Geometric structure underlies roles of diversity and accuracy in combining classifiers. Patterns 5(3): 100924 (2024) - Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
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FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5(3): 100944 (2024) - Jinge Wang, Runnan Cao, Puneeth N. Chakravarthula, Xin Li, Shuo Wang
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A critical period for developing face recognition. Patterns 5(2): 100895 (2024) - Gongshu Wang, Ning Jiang, Yunxiao Ma, Dingjie Suo, Tiantian Liu, Shintaro Funahashi, Tianyi Yan:
Using a deep generation network reveals neuroanatomical specificity in hemispheres. Patterns 5(4): 100930 (2024) - Li-Ju Wang, Michael Ning, Tapsya Nayak, Michael J. Kasper, Satdarshan P. Monga, Yufei Huang, Yidong Chen, Yu-Chiao Chiu
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shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning. Patterns 5(2): 100894 (2024) - Yanzhi Wang, Jianxiao Wang, Feng Gao, Jie Song:
Unveiling value patterns via deep reinforcement learning in heterogeneous data analytics. Patterns 5(5): 100965 (2024) - Michael R. Waters, Matthew Inkman, Kay Jayachandran, Roman M. Kowalchuk, Clifford Robinson, Julie K. Schwarz, S. Joshua Swamidass, Obi L. Griffith, Jeffrey J. Szymanski, Jin Zhang
:
GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis. Patterns 5(2): 100910 (2024) - Jun Wen
, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai:
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records. Patterns 5(1): 100906 (2024) - Emily Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng:
Advancing LGBTQ+ inclusion in STEM education and AI research. Patterns 5(6): 101010 (2024) - Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex:
Creation of a structured solar cell material dataset and performance prediction using large language models. Patterns 5(5): 100955 (2024) - Feng Xiong
, Peng Xie, Zuohan Zhao, Yiwei Li, Sujun Zhao, Linus Manubens-Gil, Lijuan Liu, Hanchuan Peng
:
DSM: Deep sequential model for complete neuronal morphology representation and feature extraction. Patterns 5(1): 100896 (2024) - Bingjie Yan
, Danmin Cao, Xinlong Jiang, Yiqiang Chen, Weiwei Dai, Fan Dong, Wuliang Huang, Teng Zhang, Chenlong Gao, Qian Chen, Zhen Yan, Zhirui Wang:
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology. Patterns 5(2): 100928 (2024) - Jingye Yang, Cong Liu, Wendy Deng, Da Wu, Chunhua Weng, Yunyun Zhou, Kai Wang
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Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT. Patterns 5(1): 100887 (2024)