AIMC Topic: Deep Learning

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Ultrahigh-Throughput Virtual Screening Strategies against PPI Targets: A Case Study of STAT Inhibitors.

Journal of chemical information and modeling Jul 4, 2025
In recent years, virtual screening of ultralarge (10) libraries of synthetically accessible compounds (uHTVS) became a popular approach in hit identification. With AI-assisted virtual screening workflows, such as Deep Docking, these protocols might b...
Humans Molecular Docking Simulation Deep Learning High-Throughput Screening Assays Small Molecule Libraries STAT5 Transcription Factor User-Computer Interface STAT3 Transcription Factor Drug Evaluation, Preclinical
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Deep learning-based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy.

BMC medical imaging Jul 4, 2025
BACKGROUND: To evaluate the performance of deep learning models in classifying parotid gland tumors using T2-weighted, diffusion-weighted, and contrast-enhanced T1-weighted MR images, along with DCE data derived from time-intensity curves.
Image Interpretation, Computer-Assisted Middle Aged Aged Magnetic Resonance Imaging Deep Learning Humans Adult Parotid Gland Contrast Media Parotid Neoplasms Male Retrospective Studies Female
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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.

Scientific reports Jul 4, 2025
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons...
Female Uterine Cervical Neoplasms Deep Learning Humans Tomography, X-Ray Computed Organs at Risk Radiotherapy Planning, Computer-Assisted Psoas Muscles
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Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.

Scientific reports Jul 4, 2025
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DI...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Breast Neoplasms Deep Learning Humans Neural Networks, Computer Tomography, X-Ray Computed
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Prediction of suicide using web based voice recordings analyzed by artificial intelligence.

Scientific reports Jul 4, 2025
The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available,...
Humans Artificial Intelligence Suicide Internet Case-Control Studies Voice Machine Learning Female Deep Learning Male Speech Young Adult Middle Aged Adult Risk Assessment
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Scientific reports Jul 4, 2025
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...
Tongue Neoplasms Tongue Lip Humans Image Processing, Computer-Assisted Neural Networks, Computer Early Detection of Cancer Deep Learning Mouth Neoplasms
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3BTRON: A Blood-Brain Barrier Recognition Network.

Communications biology Jul 4, 2025
The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis. During ageing, the BBB undergoes structural alterations. Electron microscopy (EM) is the gold standard for studying the structural alterations of the brain vasculatu...
Microscopy, Electron Image Processing, Computer-Assisted Mice Mice, Inbred C57BL Brain Blood-Brain Barrier Animals Male Aging Deep Learning
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CNN based method for classifying cervical cancer cells in pap smear images.

Scientific reports Jul 4, 2025
The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, it is crucial to detect cervical cancer early. The biggest challenge in diagnosing cervical cancer early is that it is asymptomatic until it develops ...
Humans Neural Networks, Computer Deep Learning Papanicolaou Test Image Processing, Computer-Assisted Machine Learning Female Uterine Cervical Neoplasms Vaginal Smears Early Detection of Cancer
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MultiFG: integrating molecular fingerprints and graph embeddings via attention mechanisms for robust drug side effect prediction.

Scientific reports Jul 4, 2025
Accurate prediction of drug side effect frequencies is critical for drug safety assessment but remains challenging due to the high cost of clinical trials and the limited generalizability of existing models. We propose Multi Fingerprint and Graph Emb...
Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Algorithms Humans Deep Learning
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Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms.

Scientific reports Jul 4, 2025
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each year worldwide. The mortality rate is over 251,000 deaths annually (IARC, 2020 reports). Detecting BTs is complex because they vary in nature. Early diag...
Deep Learning Support Vector Machine Magnetic Resonance Imaging Humans Machine Learning Neural Networks, Computer Algorithms Brain Neoplasms
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