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Showing 1366-1386 of 6,815 articles
Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning.

We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distributio...

Metaparametric Neural Networks for Survival Analysis.

Survival analysis is a critical tool for the modeling of time-to-event data, such as life expectancy...

Deep-learning-enabled protein-protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution.

Host-pathogen interactions and pathogen evolution are underpinned by protein-protein interactions be...

Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram.

Little is known about electrocardiogram (ECG) markers of Parkinson's disease (PD) during the prodrom...

Human-Robot Interaction in Agriculture: A Systematic Review.

In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices...

Effect of Lower Limb Exoskeleton on the Modulation of Neural Activity and Gait Classification.

Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interactio...

A cyber-physical system to design 3D models using mixed reality technologies and deep learning for additive manufacturing.

I-nteract is a cyber-physical system that enables real-time interaction with both virtual and real a...

Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents.

The US Food and Drug Administration (FDA) regulatory process often involves several reviewers who fo...

A performance evaluation of drug response prediction models for individual drugs.

Drug response prediction is important to establish personalized medicine for cancer therapy. Model c...

PepScaf: Harnessing Machine Learning with In Vitro Selection toward De Novo Macrocyclic Peptides against IL-17C/IL-17RE Interaction.

The combination of library-based screening and artificial intelligence (AI) has been accelerating th...

A Morphologically Individualized Deep Learning Brain Injury Model.

The brain injury modeling community has recommended improving model subject specificity and simulati...

Predicting new drug indications based on double variational autoencoders.

Experimental drug development is costly, complex, and time-consuming, and the number of drugs that h...

Completion of the Transfer of the Online Journal of Public Health Informatics (OJPHI) to JMIR Publications.

Founded in 2009, the (OJPHI) strives to provide an unparalleled experience as the platform of choic...

Automatic Detection of Perilunate and Lunate Dislocations on Wrist Radiographs Using Deep Learning.

Delayed or missed diagnosis of perilunate or lunate dislocations can lead to significant morbidity. ...

Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review.

Drug-drug interactions (DDI) are a critical aspect of drug research that can have adverse effects on...

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.

Identifying compound-protein interactions (CPIs) is crucial for drug discovery. Since experimentally...

Deep learning in preclinical antibody drug discovery and development.

Antibody drugs have become a key part of biotherapeutics. Patients suffering from various diseases h...

Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning.

: The tongue mucosa often changes due to various local and systemic diseases or conditions. This stu...

Dynamic parameter identification and adaptive control with trajectory scaling for robot-environment interaction.

To improve the force/position control performance of robots in contact with the environment, this pa...

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