SP-DTI: Subpocket-Informed Transformer for Drug–Target Interaction Prediction

Chemistry, Medicinal Chemistry, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering,
Drug-Target Interaction   Deep Learning   Subpocket Analysis   Transformer Model   Drug Discovery  

Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...

ABVS Breast Tumour Segmentation via Integrating CNN with Dilated Sampling Self-Attention and Feature Interaction Transformer

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Breast Tumour Segmentation   Automated Breast Volume Scanner   3D Transformer-CNN Segmentation Network   Mask Image Modelling   Deep Learning   Medical Image Analysis   Self-Supervised Learning  

ABVS Breast Tumor Segmentation Research Based on CNN and Dilated Sampling Self-Attention Academic Background Breast cancer is the second most common cancer worldwide, and early and accurate detection is crucial for improving patient prognosis and reducing mortality. Although various imaging techniques (such as X-ray mammography, magnetic resonance ...

Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Chemical Exchange Saturation Transfer Imaging   Deep Learning   Image Reconstruction   Self-Calibration   Fast Imaging  

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Information Science, Computer Science, Artificial Intelligence,
Speech Emotion Recognition   Wavelet Transform   Deep Learning   Convolutional Neural Network   Bidirectional Gated Recurrent Unit  

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...

Leveraging Pharmacovigilance Data to Predict Population-Scale Toxicity Profiles of Checkpoint Inhibitor Immunotherapy

Information Science, Computer Science, Medicine, Oncology, Life Sciences, Immunology,
Pharmacovigilance   Checkpoint Inhibitors   Toxicity Prediction   Deep Learning   Cancer Immunotherapy   Population Analysis   Dynamic Graph Convolutional Network  

Predicting and Monitoring the Toxicity of Immune Checkpoint Inhibitors: Breakthrough Application of the DysPred Deep Learning Framework Academic Background Immune checkpoint inhibitors (ICIs) represent a major breakthrough in cancer immunotherapy in recent years, enhancing the body’s antitumor immune response by inhibiting immune checkpoint signali...