AIMC Topic: Deep Learning

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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information.

BMC bioinformatics Jul 21, 2025
Bioactive peptides are beneficial or have physiological effects on the life activities of biological organisms. The functions of bioactive peptides are diverse, usually with one or more, so accurately detecting the multiple functions of multi-functio...
Peptides Deep Learning Amino Acid Sequence Computational Biology
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Establishment of AI-assisted diagnosis of the infraorbital posterior ethmoid cells based on deep learning.

BMC medical imaging Jul 21, 2025
OBJECTIVE: To construct an artificial intelligence (AI)-assisted model for identifying the infraorbital posterior ethmoid cells (IPECs) based on deep learning using sagittal CT images.
Humans Sensitivity and Specificity Male Adult Deep Learning Tomography, X-Ray Computed Ethmoid Sinus Middle Aged Artificial Intelligence Female Retrospective Studies Aged
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A deep ensemble framework for human essential gene prediction by integrating multi-omics data.

Scientific reports Jul 21, 2025
Essential genes are necessary for the survival or reproduction of a living organism. The prediction and analysis of gene essentiality can advance our understanding of basic life and human diseases, and further boost the development of new drugs. We p...
Genomics Computational Biology Genes, Essential Gene Ontology Multiomics Machine Learning Deep Learning Protein Interaction Maps Humans Neural Networks, Computer
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A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network.

Scientific reports Jul 21, 2025
Precision and timeliness in the detection of plant diseases are important to limit crop losses and maintain global food security. Much work has been performed to detect plant diseases using deep learning methods. However, deep learning techniques dem...
Deep Learning Zea mays Plant Diseases Neural Networks, Computer Algorithms
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Deep learning using nasal endoscopy and T2-weighted MRI for prediction of sinonasal inverted papilloma-associated squamous cell carcinoma: an exploratory study.

European radiology experimental Jul 21, 2025
BACKGROUND: Detecting malignant transformation of sinonasal inverted papilloma (SIP) into squamous cell carcinoma (SIP-SCC) before surgery is a clinical need. We aimed to explore the value of deep learning (DL) that leverages nasal endoscopy and T2-w...
Carcinoma, Squamous Cell Aged Adult Retrospective Studies Female Humans Magnetic Resonance Imaging Papilloma, Inverted Paranasal Sinus Neoplasms Middle Aged Nose Neoplasms Deep Learning Endoscopy Nomograms Male
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AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis.

Scientific reports Jul 21, 2025
Capillary microfluidic chips (CMCs) enable passive liquid transport via surface tension and wettability gradients, making them central to point-of-care diagnostics and biomedical sensing. However, accurate analysis of capillary-driven flow experiment...
Lab-On-A-Chip Devices Microfluidic Analytical Techniques Deep Learning Microfluidics Artificial Intelligence
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Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Health Care System Administration using Deep Reinforcement Learning.

Disaster medicine and public health preparedness Jul 21, 2025
OBJECTIVES: Large-scale crises, including wars and pandemics, have repeatedly shaped human history, and their simultaneous occurrence presents profound challenges to societies. Understanding the dynamics of epidemic spread during warfare is essential...
Models, Theoretical Reinforcement Machine Learning Warfare Spatio-Temporal Analysis Deep Learning Humans Pandemics Computer Simulation
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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction.

PloS one Jul 21, 2025
Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dippe...
Algorithms Water Quality Crops, Agricultural Agricultural Irrigation Deep Learning Agriculture Animals
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Accurate deep-learning model to differentiate dementia severity and diagnosis using a portable electroencephalography device.

Scientific reports Jul 20, 2025
Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools. Electroencephalography (EEG) is a promising biomarker, but trad...
Electroencephalography Middle Aged Cognitive Dysfunction Severity of Illness Index Aged Deep Learning Humans Dementia Female Aged, 80 and over Male
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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit.

BMC bioinformatics Jul 20, 2025
BACKGROUND: Identification of drug target interactions (DTI) is an important part of the drug discovery process. Since prediction of DTI using laboratory tests is time consuming and laborious, automated tools using computational intelligence (CI) tec...
Machine Learning Algorithms Drug Discovery Deep Learning Humans Computational Biology
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