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A two-stream convolutional neural network for microRNA transcription start site feature integration and identification.

MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype develo...

The effect of diabetes on major robotic hepatectomy.

Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...

Development of a neuron model based on DNAzyme regulation.

Neural networks based on DNA molecular circuits play an important role in molecular information proc...

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.

In the context of the recently emerging COVID-19 pandemic, we developed a deep learning model that c...

Variable Selection from Image Texture Feature for Automatic Classification of Concrete Surface Voids.

Machine learning plays an important role in computational intelligence and has been widely used in m...

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events.

While the clinical approval process is able to filter out medications whose utility does not offset ...

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.

Alternative polyadenylation (APA) is a crucial step in post-transcriptional regulation. Previous bio...

The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics.

Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate thei...

Deep learning identification for citizen science surveillance of tiger mosquitoes.

Global monitoring of disease vectors is undoubtedly becoming an urgent need as the human population ...

Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of t...

Overcoming barriers to implementation of artificial intelligence in gastroenterology.

Artificial intelligence is poised to revolutionize the field of medicine, however significant questi...

Proposed training pathway with initial experience to set up robotic hepatobiliary and pancreatic service.

Although robot-assisted hepatobiliary and pancreatic (HPB) surgery has gained momentum over the last...

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.

The establishment of a landscape of enhancers across human cells is crucial to deciphering the mecha...

Fast semantic segmentation method for machine vision inspection based on a fewer-parameters atrous convolution neural network.

Owing to the recent development in deep learning, machine vision has been widely used in intelligent...

SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm.

Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels f...

Precision Regulation Approach: A COVID-19 Triggered Regulatory Drive in South Korea.

COVID-19 has triggered various changes in our everyday lives and how we conceptualize the functions ...

Mediating artificial intelligence developments through negative and positive incentives.

The field of Artificial Intelligence (AI) is going through a period of great expectations, introduci...

Prediction of adverse drug reactions using drug convolutional neural networks.

Prediction of Adverse Drug Reactions (ADRs) has been an important aspect of Pharmacovigilance becaus...

Mechanics and Morphological Compensation Strategy for Trimmed Soft Whisker Sensor.

Recent studies have been inspired by natural whiskers for a proposal of tactile sensing system to au...

Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.

There has been a surge of interest in artificial intelligence and machine learning (AI/ML)-based med...

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