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Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion
The improvement of hospital informatization has led to the proliferation of electronic medical records (EMRs), which gradu...
Deduplicating the FDA adverse event reporting system with a novel application of network-based grouping
Spontaneous reporting systems like the Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) are cri...
A systematic mapping study of semantic technologies in multi-omics data integration
Volume 165, May 2025, 104809Author links open overlay panel, , , , AbstractObjective:The integration of multi-omics data i...
Bioinformatic challenges in metagenomic next generation sequencing data analysis while unravelling a case of uncommon campylobacteriosis
Volume 166, June 2025, 104841Author links open overlay panel, , , , , , , , AbstractObjectiveThis study aimed to employ ad...
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records
Alzheimer’s disease and related dementias (AD/ADRD) rank among the top 10 leading causes of death in the United States [1]...
A transformer-based framework for temporal health event prediction with graph-enhanced representations
Electronic Health Records (EHRs) [1] are a comprehensive repository of patients’ health histories, medical visits, and rel...
Implementation of a digital maturity framework for biobanking
Available online 7 May 2025, 104842Author links open overlay panel, , , , , , , , , , , , , , , , , AbstractObjectiveDigit...
Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study
In the field of epidemic intelligence, systematic information analysis is essential for detecting, verifying, evaluating, ...
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification
Volume 166, June 2025, 104817Author links open overlay panel, , AbstractObjectives:Patient classification into specific mo...
RoBIn: A Transformer-based model for risk of bias inference with machine reading comprehension
Randomized Clinical Trials (RCTs) are considered the gold standard for evidence in the biomedical field [1]. However, the ...
Causal inference for time series datasets with partially overlapping variables
Causal relationships are essential for guiding effective interventions, especially in high-stakes settings like healthcare...
Leveraging natural language processing to elucidate real-world clinical decision-making paradigms: A proof of concept study
Volume 166, June 2025, 104829Author links open overlay panel, , , , AbstractBackgroundUnderstanding how clinicians arrive ...
ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images
Scoliosis is a three-dimensional deformity characterized by lateral curvature of the spine in the coronal plane, and it is...
Defining phenotypes of disease severity for long-term cardiovascular, renal, metabolic, and mental health conditions in primary care electronic health records: A mixed-methods study using the nominal group technique
Volume 166, June 2025, 104831Author links open overlay panel, , , , , , AbstractObjectiveInclusion of severity measures fo...
PregAN-NET: Addressing Class Imbalance with GANs in Interpretable Computational Framework for Predicting Safety Profile of Drugs Considering Adverse Reactions During Pregnancy
Adverse Drug Reactions (ADRs) represent a significant risk to patient safety and are a leading cause of morbidity and mort...
Unsupervised discovery of clinical disease signatures using probabilistic independence
Volume 166, June 2025, 104837Author links open overlay panel, , , , , , , , AbstractObjectiveThis study uses probabilistic...
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies
Electronic health records (EHR) contain a wide range of patient information, serving as a valuable resource for scientific...
Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors
The datasets generated during and/or analyzed during the current study are not publicly available because participant cons...
Multimodal fusion architectures for Alzheimer’s disease diagnosis: An experimental study
Alzheimer’s disease (AD) is a neurodegenerative disorder that affects one-tenth of the population over 65 years of age. It...
Benchmarking domain-specific pretrained language models to identify the best model for methodological rigor in clinical studies
Volume 166, June 2025, 104825Author links open overlay panel, , , , , , AbstractObjectiveEncoder-only transformer-based la...
Fairness and inclusion methods for biomedical informatics research
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Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach
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Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning
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Proxy endpoints — bridging clinical trials and real world data
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Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph
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Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification
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Advancing cancer driver gene identification through an integrative network and pathway approach
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FuseLinker: Leveraging LLM’s pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs
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Clinical outcome-guided deep temporal clustering for disease progression subtyping
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