AIMC Topic: Humans

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DSANIB: Drug-Target Interaction Predictions With Dual-View Synergistic Attention Network and Information Bottleneck Strategy.

IEEE journal of biomedical and health informatics Feb 10, 2025
Prediction of drug-target interactions (DTIs) is one of the crucial steps for drug repositioning. Identifying DTIs through bio-experimental manners is always expensive and time-consuming. Recently, deep learning-based approaches have shown promising ...
Drug Interactions Deep Learning Humans Computational Biology Algorithms Drug Repositioning
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Mapping the learning curves of deep learning networks.

PLoS computational biology Feb 10, 2025
There is an important challenge in systematically interpreting the internal representations of deep neural networks (DNNs). Existing techniques are often less effective for non-tabular tasks, or they primarily focus on qualitative, ad-hoc interpretat...
Humans Learning Curve Neural Networks, Computer Computer Simulation Deep Learning Computational Biology
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Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

Circulation. Arrhythmia and electrophysiology Feb 10, 2025
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia ...
Catheter Ablation Electrophysiologic Techniques, Cardiac Machine Learning Registries Phenotype Action Potentials Atrial Fibrillation Female Humans Aged Predictive Value of Tests Time Factors Heart Rate Male Electrocardiography Middle Aged Treatment Outcome
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Machine Learning Identification and Classification of Mitosis and Migration of Cancer Cells in a Lab-on-CMOS Capacitance Sensing Platform.

IEEE journal of biomedical and health informatics Feb 10, 2025
Cell culture assays play a vital role in various fields of biology. Conventional assay techniques like immunohistochemistry, immunofluorescence, and flow cytometry offer valuable insights into cell phenotype and behavior. However, each of these techn...
Humans Machine Learning Cell Line, Tumor Single-Cell Analysis Cell Movement Electric Capacitance Lab-On-A-Chip Devices Mitosis
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Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks.

IEEE journal of biomedical and health informatics Feb 10, 2025
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM) of electroencephalogram (EEG) signals plays a critical role in accurate classification. Given that SCMs are symmetric positive definite (SPD), Riema...
Algorithms Humans Brain Signal Processing, Computer-Assisted Neural Networks, Computer Electroencephalography Brain-Computer Interfaces Imagination
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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Sleep Apnea, Obstructive Polysomnography Adolescent Child, Preschool Child Electrocardiography Signal Processing, Computer-Assisted Sleep Apnea Syndromes Male Diagnosis, Computer-Assisted Deep Learning Humans Female
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M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways.

IEEE journal of biomedical and health informatics Feb 10, 2025
High-performance prediction of prostate cancer metastasis based on single nucleotide variations remains a challenge. Therefore, we developed a novel biologically informed deep learning framework, named M-NET, for the prediction of prostate cancer met...
Neural Networks, Computer Male Deep Learning Humans Neoplasm Metastasis Polymorphism, Single Nucleotide Prostatic Neoplasms Image Interpretation, Computer-Assisted
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Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemannian space has been frequently utilized to extract spatial features from electroencephalogram (EEG) signals. However, the intrinsic high dimensionality...
Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Dimensionality Reduction Brain Machine Learning Adult Algorithms Principal Component Analysis
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ADR-DQPU: A Novel ADR Signal Detection Using Deep Reinforcement and Positive-Unlabeled Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
The medical community has grappled with the challenge of analysis and early detection of severe and unknown adverse drug reactions (ADRs) from Spontaneous Reporting Systems (SRSs) like the FDA Adverse Event Reporting System (FAERS), which often lack ...
Humans Machine Learning Adverse Drug Reaction Reporting Systems Algorithms Deep Learning Drug-Related Side Effects and Adverse Reactions
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Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.

IEEE journal of biomedical and health informatics Feb 10, 2025
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods from development to application. The complexity and integration of these methods could grow in conjunction with advances in AI and human-AI interactions....
Humans Artificial Intelligence Male Bias Radiography, Thoracic COVID-19 Female SARS-CoV-2
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