Ahmed A. Metwally

23 papers Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2025	J	`jnl`	A Scalable Framework for Evaluating Health Language Models. CoRR Neil Mallinar, A. Ali Heydari, Xin Liu, Anthony Z. Faranesh, Brent Winslow, Nova Hammerquist, Benjamin Graef, Cathy Speed, Mark Malhotra, Shwetak N. Patel, Javier L. Prieto, Daniel McDuff, Ahmed A. Metwally
2025	J	`jnl`	High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes. npj Digit. Medicine Heyjun Park, Ahmed A. Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Caleb Mayer, Curtis McGinity, Majid Rodgar, Alessandra Celli, Tracey McLaughlin, Emmanuel Mignot, Michael Snyder
2025	J	`jnl`	Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers. CoRR Ahmed A. Metwally, A. Ali Heydari, Daniel McDuff, Alexandru Solot, Zeinab Esmaeilpour, Anthony Z. Faranesh, Menglian Zhou, David B. Savage, Conor Heneghan, Shwetak N. Patel, Cathy Speed, Javier L. Prieto
2025	J	`jnl`	SensorLM: Learning the Language of Wearable Sensors. CoRR Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
2025	J	`jnl`	The Anatomy of a Personal Health Agent. CoRR A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu
2025	J	`jnl`	The Human-AI Hybrid Delphi Model: A Structured Framework for Context-Rich, Expert Consensus in Complex Domains. CoRR Cathy Speed, Ahmed A. Metwally
2025	J	`jnl`	Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes. CoRR Ahmed A. Metwally, Heyjun Park, Yue Wu, Tracey McLaughlin, Michael P. Snyder
2024	—	`conf`	Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning. BHI A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally
2024	J	`jnl`	Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning. CoRR A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally
2022	J	`jnl`	Robust identification of temporal biomarkers in longitudinal omics studies. Bioinform. Ahmed A. Metwally, Tom Zhang, Si Wu, Ryan Kellogg, Wenyu Zhou, Kévin Contrepois, Hua Tang, Michael Snyder
2021	—	`conf`	Learning Personal Food Preferences via Food Logs Embedding. BIBM Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder
2021	J	`jnl`	Learning Personal Food Preferences via Food Logs Embedding. CoRR Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder
2021	—	`conf`	Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods. BIBM Sally Mostafa, Isabel Hyo Jung Song, Ahmed A. Metwally, Nicolas Strauli, Nehemiah Sewde, Michel Friesenhahn, Maxime Usdin, Xiaoming Jia
2020	J	`jnl`	PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data. IEEE J. Biomed. Health Informatics Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai
2019	—	`conf`	Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data. BHI Hani Aldirawi, Jie Yang, Ahmed A. Metwally
2019	—	`conf`	Protein Subcellular Localization Prediction Based on Internal Micro-similarities of Markov Chains. EMBC Asem Alaa, Ayman M. Eldeib, Ahmed A. Metwally
2019	—	`conf`	Taxonomic Classification at the Strain Level using a Species-of-Interest $\boldsymbol{k}$-mer Database. BHI Mladen R. Rasic, Ahmed A. Metwally, Patricia W. Finn, David L. Perkins
2019	J	`jnl`	Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Comput. Biol. Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins
2018	J	`jnl`	A review on probabilistic models used in microbiome studies. Commun. Inf. Syst. Ahmed A. Metwally, Hani Aldirawi, Jie Yang
2018	—	`conf`	Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods. BHI Asem Alaa, Ahmed A. Metwally
2018	J	`jnl`	Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning. CoRR Jianguo Chen, Kenli Li, Kashif Bilal, Ahmed A. Metwally, Keqin Li, Philip S. Yu
2017	—	`conf`	Detection of Differential Abundance Intervals in Longitudinal Metagenomic Data Using Negative Binomial Smoothing Spline ANOVA. BCB Ahmed A. Metwally, Patricia W. Finn, Yang Dai, David L. Perkins