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Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method.

BACKGROUND : Artificial intelligence (AI) research in colonoscopy is progressing rapidly but widespr...

Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling.

Branching in vascular networks and in overall organismic form is one of the most common and ancient ...

A machine learning approach to modeling PTSD and difficulties in emotion regulation.

Despite evidence for the association between emotion regulation difficulties and posttraumatic stres...

iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network.

A promoter is a short DNA sequence near to the start codon, responsible for initiating transcription...

Robotic assistance for quick and accurate image-guided needle placement.

Computed tomography (CT) image-guided procedures including biopsy, drug delivery, and ablation are g...

Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...

Applications of artificial intelligence in drug development using real-world data.

The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RW...

Assessing Drug Development Risk Using Big Data and Machine Learning.

Identifying new drug targets and developing safe and effective drugs is both challenging and risky. ...

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastro...

The effect of topical application of meloxicam on inflamed dental pulp.

BACKGROUND/PURPOSE: Effective regulation of the inflammatory process is essential for pulp repair an...

Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.

Significant advances in artificial intelligence (AI), deep learning, and other machine-learning appr...

DeepSIBA: chemical structure-based inference of biological alterations using deep learning.

Predicting whether a chemical structure leads to a desired or adverse biological effect can have a s...

Identification of early liver toxicity gene biomarkers using comparative supervised machine learning.

Screening agrochemicals and pharmaceuticals for potential liver toxicity is required for regulatory ...

Matrix Factorization-based Technique for Drug Repurposing Predictions.

Classical drug design methodologies are hugely costly and time-consuming, with approximately 85% of ...

Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data.

When performing structural inspection, the generation of three-dimensional (3D) point clouds is a co...

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.

BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a signi...

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