Ahmed Metwally

According to our database, Ahmed Metwally authored at least 23 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Human-AI Hybrid Delphi Model: A Structured Framework for Context-Rich, Expert Consensus in Complex Domains.

Cathy Speed, Ahmed A. Metwally

CoRR, August, 2025

SensorLM: Learning the Language of Wearable Sensors.

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

CoRR, June, 2025

LSM-2: Learning from Incomplete Wearable Sensor Data.

Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff

CoRR, June, 2025

Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers.

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

CoRR, May, 2025

A Scalable Framework for Evaluating Health Language Models.

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

CoRR, March, 2025

Guest Editorial: Deep Medicine and AI for Health.

María Fernanda Cabrera-Umpiérrez, Tayo Obafemi-Ajayi, Ahmed Metwally, Bobak J. Mortazavi

IEEE J. Biomed. Health Informatics, February, 2025

High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes.

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

npj Digit. Medicine, 2025

2024

Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning.

A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2022

Robust identification of temporal biomarkers in longitudinal omics studies.

Ahmed A. Metwally, Tom Zhang, Si Wu, Ryan Kellogg, Wenyu Zhou, Kévin Contrepois, Hua Tang, Michael Snyder

Bioinform., 2022

2021

Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features.

Derek Reiman, Ahmed Metwally, Jun Sun, Yang Dai

F1000Research, 2021

Predicting upper limb disability progression in primary progressive multiple sclerosis using machine learning and statistical methods.

Sally Mostafa, Isabel Hyo Jung Song, Ahmed A. Metwally, Nicolas Strauli, Nehemiah Sewde, Michel Friesenhahn, Maxime Usdin, Xiaoming Jia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Learning Personal Food Preferences via Food Logs Embedding.

Ahmed A. Metwally, Ariel K. Leong, Aman Desai, Anvith Nagarjuna, Dalia Perelman, Michael Snyder

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data.

Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai

IEEE J. Biomed. Health Informatics, 2020

2019

Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks.

Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins

PLoS Comput. Biol., 2019

Protein Subcellular Localization Prediction Based on Internal Micro-similarities of Markov Chains.

Asem Alaa, Ayman M. Eldeib, Ahmed A. Metwally

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Taxonomic Classification at the Strain Level using a Species-of-Interest $\boldsymbol{k}$-mer Database.

Mladen R. Rasic, Ahmed A. Metwally, Patricia W. Finn, David L. Perkins

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data.

Hani Aldirawi, Jie Yang, Ahmed A. Metwally

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Parallel Protein Community Detection in Large-scale PPI Networks Based on Multi-source Learning.

Jianguo Chen, Kenli Li, Kashif Bilal, Ahmed A. Metwally, Keqin Li, Philip S. Yu

CoRR, 2018

A review on probabilistic models used in microbiome studies.

Ahmed A. Metwally, Hani Aldirawi, Jie Yang

Commun. Inf. Syst., 2018

Cloud-based solution for improving usability and interactivity of metagenomic ensemble taxonomic classification methods.

Asem Alaa, Ahmed A. Metwally

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Using convolutional neural networks to explore the microbiome.

Derek Reiman, Ahmed Metwally, Yang Dai

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Detection of Differential Abundance Intervals in Longitudinal Metagenomic Data Using Negative Binomial Smoothing Spline ANOVA.

Ahmed A. Metwally, Patricia W. Finn, Yang Dai, David L. Perkins

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Microbiome Dynamics as Predictors of Lung Transplant Rejection.

Ahmed Metwally, Christian Ascoli, Kalista Andropolis, Ravi Ranjan, Yang Dai, Thomas Ferkol, Patricia W. Finn, David L. Perkins

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017