AIMC Topic: Deep Learning

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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble.

Scientific reports Jul 23, 2025
Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a lack of insulin produced by the body. If left untreated, this illness can be lethal to a person. Diabetes can be treated and a good life can be led with...
Deep Learning Diabetes Mellitus Neural Networks, Computer Algorithms Humans
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Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Scientific reports Jul 23, 2025
Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at t...
Image Processing, Computer-Assisted Gene Expression Profiling Deep Learning Humans
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Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports Jul 23, 2025
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ...
Photography Deep Learning ROC Curve Fundus Oculi Retinopathy of Prematurity Image Processing, Computer-Assisted Infant, Newborn Infant Humans
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Multilingual identification of nuanced dimensions of hope speech in social media texts.

Scientific reports Jul 23, 2025
Hope plays a crucial role in human psychology and well-being, yet its expression and detection across languages remain underexplored in natural language processing (NLP). This study presents MIND-HOPE, the first-ever multiclass hope speech detection ...
Machine Learning Language Humans Social Media Natural Language Processing Multilingualism Deep Learning Speech Hope
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Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express Jul 23, 2025
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...
Mammography Reproducibility of Results Breast Algorithms Aged Humans Deep Learning Adult Breast Density Breast Neoplasms Female Machine Learning Image Processing, Computer-Assisted Middle Aged
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AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

mAbs Jul 22, 2025
Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a vast fitness landscape. Designing optimal antibody sequences, however, remains a major challenge. Recent advances in deep learning provide opportuniti...
Antibody Affinity Deep Learning Antigen-Antibody Reactions Antibodies, Monoclonal Humans Antigens
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Semi-supervised motion flow and myocardial strain estimation in cardiac videos using distance maps and memory networks.

Computers in biology and medicine Jul 22, 2025
Myocardial strain plays a crucial role in diagnosing heart failure and myocardial infarction. Its computation relies on assessing heart muscle motion throughout the cardiac cycle. This assessment can be performed by following key points on each frame...
Humans Algorithms Image Processing, Computer-Assisted Male Heart Deep Learning Magnetic Resonance Imaging, Cine
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Prediction of Fraction Unbound in Human Plasma for Per- and Polyfluoroalkyl Substances: Evaluating Transfer Learning as an Algorithmic Solution to the Problem of Sparse Data.

Journal of chemical information and modeling Jul 22, 2025
Fraction unbound in plasma () is a crucial parameter in physiologically based toxicokinetic (PBTK) models, representing the fraction of a chemical compound that is not sequestered by plasma proteins when present in the bloodstream. This is often used...
Deep Learning Fluorocarbons Quantitative Structure-Activity Relationship Humans Machine Learning Algorithms
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m5U-HybridNet: Integrating an RNA Foundation Model with CNN Features for Accurate Prediction of 5-Methyluridine Modification Sites.

Journal of chemical information and modeling Jul 22, 2025
The 5-methyluridine (m5U) modification in RNA is vital for numerous biological processes, making its precise identification a key focus in computational biology. However, traditional wet-lab detection methods are cumbersome and time-consuming, wherea...
Uridine Neural Networks, Computer Computational Biology Deep Learning RNA
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Predicting wheat yield using deep learning and multi-source environmental data.

Scientific reports Jul 21, 2025
Accurate forecasting of crop yields is essential for ensuring food security and promoting sustainable agricultural practices. Winter wheat, a key staple crop in Pakistan, faces challenges in yield prediction because of the complex interactions among ...
Soil Deep Learning Triticum Pakistan Agriculture Neural Networks, Computer Forecasting Crops, Agricultural
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