AIMC Topic: Datasets as Topic

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Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning.

Genome biology Aug 4, 2023
We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distribution from RNA sequence at single-nucleotide resolution. By training on up to a million regions, RBPNet achieves high generalization on eCLIP, iCLIP and m...
Humans Computer Simulation Deep Learning Nucleotide Motifs RNA Splice Sites Consensus Sequence Base Sequence Binding Sites Bias RNA, Messenger Mutation RNA-Binding Proteins RNA RNA, Viral Internet Datasets as Topic Nucleotides Alleles
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Scientific discovery in the age of artificial intelligence.

Nature Aug 2, 2023
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, helping scientists to generate hypotheses, design experiments, collect and interpret large datasets, and gain insights that mi...
Deep Learning Unsupervised Machine Learning Datasets as Topic Artificial Intelligence Research Design
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Using machine learning to decode animal communication.

Science (New York, N.Y.) Jul 13, 2023
New methods promise transformative insights and conservation benefits.
Machine Learning Vocalization, Animal Animals Datasets as Topic
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Large language models encode clinical knowledge.

Nature Jul 12, 2023
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...
Comprehension Physicians Knowledge Computer Simulation Licensure Benchmarking Natural Language Processing Medicine Datasets as Topic Bias Patient Safety Clinical Competence
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A deep learning approach to estimate x-ray scatter in digital breast tomosynthesis: From phantom models to clinical applications.

Medical physics Jul 2, 2023
BACKGROUND: Digital breast tomosynthesis (DBT) has gained popularity as breast imaging modality due to its pseudo-3D reconstruction and improved accuracy compared to digital mammography. However, DBT faces challenges in image quality and quantitative...
Datasets as Topic Monte Carlo Method Phantoms, Imaging Mammography Breast X-Rays Radiographic Image Enhancement Humans Neural Networks, Computer Breast Neoplasms Deep Learning Female
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A Dataset Auditing Method for Collaboratively Trained Machine Learning Models.

IEEE transactions on medical imaging Jun 30, 2023
Dataset auditing for machine learning (ML) models is a method to evaluate if a given dataset is used in training a model. In a Federated Learning setting where multiple institutions collaboratively train a model with their decentralized private datas...
Datasets as Topic Machine Learning
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Implementation of transfer learning for the segmentation of human mesenchymal stem cells-A validation study.

Tissue & cell Jun 29, 2023
INTRODUCTION: Stem cell therapy has been gaining interest in the regeneration rather than repair of lost human tissues. However, the manual analysis of stem cells prior to implantation is a cumbersome task that can be automated to improve the efficie...
Data Curation Cell Tracking Mesenchymal Stem Cell Transplantation Algorithms Mesenchymal Stem Cells Deep Learning Datasets as Topic
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A Speech Recognition Method Based on Domain-Specific Datasets and Confidence Decision Networks.

Sensors (Basel, Switzerland) Jun 29, 2023
This paper proposes a speech recognition method based on a domain-specific language speech network (DSL-Net) and a confidence decision network (CD-Net). The method involves automatically training a domain-specific dataset, using pre-trained model par...
Datasets as Topic Models, Theoretical Speech Recognition Software Sound Spectrography Speech Perception Neural Networks, Computer Speech
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Home monitoring with connected mobile devices for asthma attack prediction with machine learning.

Scientific data Jun 8, 2023
Monitoring asthma is essential for self-management. However, traditional monitoring methods require high levels of active engagement, and some patients may find this tedious. Passive monitoring with mobile-health devices, especially when combined wit...
Asthma Surveys and Questionnaires Datasets as Topic Humans Communicable Disease Control Machine Learning Computers, Handheld
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Transformer-based temporal sequence learners for arrhythmia classification.

Medical & biological engineering & computing Jun 6, 2023
An electrocardiogram (ECG) plays a crucial role in identifying and classifying cardiac arrhythmia. Traditional methods employ handcrafted features, and more recently, deep learning methods use convolution and recursive structures to classify heart si...
Arrhythmias, Cardiac Datasets as Topic Humans Deep Learning Electrocardiography
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