Explanipedia

RECENT ADVANCES IN AUDIO-VISUAL-LANGUAGE MODELING Open

Kairui Zhang, Zahraa S. Abdallah, Martha Lewis · 2025

Semantic Similarity in Radiology Reports via LLMs and NER Open

Bruce Pearson, Adnan Ahmed, Zahraa S. Abdallah · 2025

Radiology report evaluation is a crucial part of radiologists' training and plays a key role in ensuring diagnostic accuracy. As part of the standard reporting workflow, a junior radiologist typically prepares a preliminary report, which i…

Accelerated design of Escherichia coli reduced genomes using a whole-cell model and machine learning Open

Ioana M. Gherman, Kieren Sharma, Joshua Rees-Garbutt, Wei Pang, Zahraa S. Abdallah , et al. · 2025

Whole-cell models (WCMs) are multi-scale computational models that aim to simulate the function of all genes and processes within a cell. This approach is promising for designing genomes tailored for specific tasks. However, a limitation o…

TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation Open

Guanxiong Sun, Majid Mirmehdi, Zahraa S. Abdallah, Raúl Santos‐Rodríguez, Ian Craddock , et al. · 2025

Real-world federated learning faces two key challenges: limited access to labelled data and the presence of heterogeneous multi-modal inputs. This paper proposes TACTFL, a unified framework for semi-supervised multi-modal federated learnin…

Stratify: unifying multi-step forecasting strategies Open

Riku Green, Grant M. Stevens, Zahraa S. Abdallah, Telmo M. Silva Filho · 2025

A key aspect of temporal domains is the ability to make predictions multiple time-steps into the future, a process known as multi-step forecasting (MSF). At the core of this process is selecting a forecasting strategy; however, with no exi…

Canonical Correlation Patterns for Validating Clustering of Multivariate Time Series Open

Isabella Degen, Zahraa S. Abdallah, Kate Robson Brown, Henry W. J. Reeve · 2025

Clustering of multivariate time series using correlation-based methods reveals regime changes in relationships between variables across health, finance, and industrial applications. However, validating whether discovered clusters represent…

Leveraging proteomics and transfer learning for head and neck cancer detection in saliva Open

Anza Shakeel, Samuel William David Merriel, Joel Smith, A. Stephen McGough, Matthew Suderman , et al. · 2025

Background Early detection of Head and neck cancer (HNC) has the potential to substantially improve patient survival, yet no biomarker tests for early detection are currently in clinical practice. Case-control studies that could be used to…

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering Open

Isabella Degen, Zahraa S. Abdallah, Henry W. J. Reeve, Kate Robson Brown · 2025

Time series clustering promises to uncover hidden structural patterns in data with applications across healthcare, finance, industrial systems, and other critical domains. However, without validated ground truth information, researchers ca…

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches Open

Sam Gordon James, Miranda Elaine Glynis Armstrong, Aisling Ann O’Kane, Harry Emerson, Zahraa S. Abdallah · 2025

Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further development of this management technology requires an explor…

Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches Open

Sam Gordon James, Miranda Elaine Glynis Armstrong, Zahraa S. Abdallah, Harry Emerson, Aisling Ann O’Kane · 2025

Towards deployment-centric multimodal AI beyond vision and language Open

Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan , et al. · 2025

Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as healthcare, science, and engineering. However, most multimod…

Leveraging Proteomics and Transfer Learning for Head and Neck Cancer Detection in Saliva Open

Anza Shakeel, Samuel William David Merriel, Joel Smith, A. Stephen McGough, Matthew Suderman , et al. · 2025

Stratify: Unifying Multi-Step Forecasting Strategies Open

Riku Green, Grant M. Stevens, Zahraa S. Abdallah, Telmo M. Silva Filho · 2024

A key aspect of temporal domains is the ability to make predictions multiple time steps into the future, a process known as multi-step forecasting (MSF). At the core of this process is selecting a forecasting strategy, however, with no exi…

Authors’ Response to Peer Reviews of “Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data” Open

Isabella Degen, Kate Robson Brown, Henry W. J. Reeve, Zahraa S. Abdallah · 2024

Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data Open

Isabella Degen, Kate Robson Brown, Henry W. J. Reeve, Zahraa S. Abdallah · 2024

Background Type 1 diabetes (T1D) is a chronic condition in which the body produces too little insulin, a hormone needed to regulate blood glucose. Various factors such as carbohydrates, exercise, and hormones impact insulin needs. Beyond c…

Investigating Brain Connectivity and Regional Statistics from EEG for early stage Parkinson's Classification Open

Amarpal Sahota, Amber Roguski, Matthew Jones, Zahraa S. Abdallah, Raúl Santos‐Rodríguez · 2024

We evaluate the effectiveness of combining brain connectivity metrics with signal statistics for early stage Parkinson's Disease (PD) classification using electroencephalogram data (EEG). The data is from 5 arousal states - wakeful and fou…

FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification Open

Kieren Sharma, Lucia Marucci, Zahraa S. Abdallah · 2024

Gene essentiality, the necessity of a specific gene for the survival of an organism, is crucial to our understanding of cellular processes and identifying drug targets. Experimental determination of gene essentiality requires large growth …

Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting Open

Riku Green, Grant M. Stevens, Telmo M. Silva Filho, Zahraa S. Abdallah · 2024

Multi-step forecasting (MSF) in time-series, the ability to make predictions multiple time steps into the future, is fundamental to almost all temporal domains. To make such forecasts, one must assume the recursive complexity of the tempor…

Data hazards in synthetic biology Open

Natalie Zelenka, Nina H. Di Cara, Kieren Sharma, Seeralan Sarvaharman, Jasdeep S. Ghataora , et al. · 2024

Data science is playing an increasingly important role in the design and analysis of engineered biology. This has been fueled by the development of high-throughput methods like massively parallel reporter assays, data-rich microscopy techn…

A robust class decomposition-based approach for detecting Alzheimer’s progression Open

Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos‐Rodríguez · 2023

Computer-aided diagnosis of Alzheimer’s disease (AD) is a rapidly growing field with the possibility to be utilized in practice. Deep learning has received much attention in detecting AD from structural magnetic resonance imaging (sMRI). H…

Stability for an Interface Transmission Problem of Wave-Plate Equations with Dynamical Boundary Controls Open

Zahraa S. Abdallah, Stéphane Gerbi, Chiraz Kassem, Ali Wehbe · 2023

Accelerated design of <i>Escherichia coli</i> reduced genomes using a whole-cell model and machine learning Open

Ioana M. Gherman, Kieren Sharma, Joshua Rees-Garbutt, Wei Pang, Zahraa S. Abdallah , et al. · 2023

Summary Whole-cell models (WCMs) are multi-scale computational models that aim to simulate the function of all genes and processes within a cell. This approach is promising for designing genomes tailored for specific tasks. However, a limi…

Stability for an interface transmission problem of wave-plate equations with dynamical boundary controls Open

Zahraa S. Abdallah, Stéphane Gerbi, Chiraz Kassem, Ali Wehbe · 2023

We investigate a two-dimensional transmission model consisting of a wave equation and a Kirchhoff plate equation with dynamical boundary controls under geometric conditions. The two equations are coupled through transmission conditions alo…

Studying insulin needs in Type 1 Diabetes by analysing the OpenAPS Data Commons Open

Isabella Degen, Kate Robson Brown, Zahraa S. Abdallah · 2023

Introduction & BackgroundType 1 Diabetes (T1D) is a chronic condition where the body produces too little insulin, a hormone required to regulate blood glucose (BG). Finding the correct insulin dose and time remains a complex and as yet uns…

RED CoMETS: An ensemble classifier for symbolically represented multivariate time series Open

Luca A. Bennett, Zahraa S. Abdallah · 2023

Multivariate time series classification is a rapidly growing research field with practical applications in finance, healthcare, engineering, and more. The complexity of classifying multivariate time series data arises from its high dimensi…

Bridging the gap between mechanistic biological models and machine learning surrogates Open

Ioana M. Gherman, Zahraa S. Abdallah, Wei Pang, Thomas E. Gorochowski, Claire Grierson , et al. · 2023

Mechanistic models have been used for centuries to describe complex interconnected processes, including biological ones. As the scope of these models has widened, so have their computational demands. This complexity can limit their suitabi…

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University Open

Sam Gordon James, Miranda Elaine Glynis Armstrong, Zahraa S. Abdallah, Aisling Ann O’Kane · 2023

Self-managing a chronic condition involves adapting management strategies to life's continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant mod…

Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease Open

Maha M. Alwuthaynani, Zahraa S. Abdallah, Raúl Santos‐Rodríguez · 2023

Early diagnosis of Alzheimer's disease (AD) is essential in preventing the disease's progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonance imaging (sMRI) has been a topic of intense investigation…

Interpretable Classification of Early Stage Parkinson's Disease from EEG Open

Amarpal Sahota, Amber Roguski, Matthew Jones, Michal Rolinski, Alan Whone , et al. · 2023

Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge. This paper introduces a novel approach, representing EEG data as a 15-variate series of bandpower and peak frequency values/coefficients. Th…

Temporal patterns in insulin needs for Type 1 diabetes Open

Isabella Degen, Zahraa S. Abdallah · 2022

Type 1 Diabetes (T1D) is a chronic condition where the body produces little or no insulin, a hormone required for the cells to use blood glucose (BG) for energy and to regulate BG levels in the body. Finding the right insulin dose and time…

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