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Call for Papers: Data Generation in Healthcare Environments
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Early multi-cancer detection through deep learning: An anomaly detection approach using Variational Autoencoder
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MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction
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Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answering
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Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review
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A mother-child data linkage approach using data from the information system for the development of research in primary care (SIDIAP) in Catalonia
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Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization
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Data generation in healthcare environments
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Sleep apnea test prediction based on Electronic Health Records
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Disentangling the phenotypic patterns of hypertension and chronic hypotension
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HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer
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Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension
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Algorithms for evaluation of minimal cut sets
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PLRTE: Progressive learning for biomedical relation triplet extraction using large language models
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Fairness and inclusion methods for biomedical informatics research
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Learning to match patients to clinical trials using large language models
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Improving tabular data extraction in scanned laboratory reports using deep learning models
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Triple and quadruple optimization for feature selection in cancer biomarker discovery
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Augmenting biomedical named entity recognition with general-domain resources
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BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention
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Clinical outcome-guided deep temporal clustering for disease progression subtyping
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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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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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Proxy endpoints - bridging clinical trials and real world data
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Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning
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The reuse of electronic health records information models in the oncology domain: Studies with the bioframe framework
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Balancing the efforts of chart review and gains in PRS prediction accuracy: An empirical study
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On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models
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Identifying cooperating cancer driver genes in individual patients through hypergraph random walk
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