AIMC Topic: Deep Learning

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Deep-ProBind: binding protein prediction with transformer-based deep learning model.

BMC bioinformatics Mar 22, 2025
Binding proteins play a crucial role in biological systems by selectively interacting with specific molecules, such as DNA, RNA, or peptides, to regulate various cellular processes. Their ability to recognize and bind target molecules with high speci...
Neural Networks, Computer Deep Learning Protein Binding Algorithms Databases, Protein Binding Sites Sequence Analysis, Protein Computational Biology Proteins
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A novel framework for segmentation of small targets in medical images.

Scientific reports Mar 22, 2025
Medical image segmentation represents a pivotal and intricate procedure in the domain of medical image processing and analysis. With the progression of artificial intelligence in recent years, the utilization of deep learning techniques for medical i...
Diagnostic Imaging Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted
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Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study.

Scientific reports Mar 22, 2025
To develop a deep learning (DL) model based on MRI to predict muscle-invasive bladder cancer (MIBC). A total of 559 patients, including 521 patients in our center and 38 patients in external centers were collected from 2012 to 2023 to construct the D...
Neoplasm Invasiveness Magnetic Resonance Imaging Urinary Bladder Neoplasms Aged, 80 and over Adult Middle Aged Deep Learning Female Male Humans Aged
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Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.

Nature communications Mar 22, 2025
A canonical social dilemma arises when resources are allocated to people, who can either reciprocate with interest or keep the proceeds. The right resource allocation mechanisms can encourage levels of reciprocation that sustain the commons. Here, in...
Humans Neural Networks, Computer Cooperative Behavior Reinforcement, Psychology Reinforcement Machine Learning Trust Deep Learning Game Theory Resource Allocation
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Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks.

NAR genomics and bioinformatics Mar 22, 2025
The spatial conformation of chromosomes and genomes of single cells is relevant to cellular function and useful for elucidating the mechanism underlying gene expression and genome methylation. The chromosomal contacts (i.e. chromosomal regions in spa...
Neural Networks, Computer Machine Learning Deep Learning Single-Cell Analysis Chromosome Structures Humans Chromosomes
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Deep learning-based analysis of gross features for ovarian epithelial tumors classification: A tool to assist pathologists for frozen section sampling.

Human pathology Mar 22, 2025
Computational pathology has primarily focused on analyzing tissue slides, neglecting the valuable information contained in gross images. To bridge this gap, we proposed a novel approach leveraging the Swin Transformer architecture to develop a Swin-T...
Frozen Sections Humans Female Carcinoma, Ovarian Epithelial Deep Learning Image Interpretation, Computer-Assisted Ovarian Neoplasms
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Drug-drug interaction prediction based on graph contrastive learning and dual-view fusion.

Computational biology and chemistry Mar 21, 2025
Drug-drug interaction (DDI) is important in drug research and are one of the major causes of morbidity and mortality. The deep learning methods can automatically extract drug features from molecular graphs or drug-related networks, which improves the...
Drug Interactions Humans Deep Learning
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Applying deep learning algorithms for non-invasive estimation of carotenoid content in the foot muscle of Pacific abalone with different colors.

Food chemistry Mar 21, 2025
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, particularly in species such as the Pacific abalone (Haliotis discus hannai). In this study, we identified the major carotenoids in abalone foot muscle us...
Shellfish Color Animals Muscles Carotenoids Gastropoda Deep Learning
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Deep Guess acceleration for explainable image reconstruction in sparse-view CT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 21, 2025
Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiation in medical imaging. Reconstructions based on the traditional Filtered Back Projection algorithm suffer from severe artifacts due to sparse data. In c...
Phantoms, Imaging Algorithms Artifacts Tomography, X-Ray Computed Radiation Dosage Humans Image Processing, Computer-Assisted Neural Networks, Computer Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deformable image registration with strategic integration pyramid framework for brain MRI.

Magnetic resonance imaging Mar 21, 2025
Medical image registration plays a crucial role in medical imaging, with a wide range of clinical applications. In this context, brain MRI registration is commonly used in clinical practice for accurate diagnosis and treatment planning. In recent yea...
Humans Neural Networks, Computer Deep Learning Algorithms Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging
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