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Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network.

The discovery and repurposing of drugs require a deep understanding of the mechanism of drug action ...

Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage.

OBJECTIVE: Artificial intelligence (AI)-based triage algorithms may improve cancer detection and exp...

Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction.

As an indicator measured by incubating organic material from water samples in rivers, the most typic...

Machine-learning-based quality-level-estimation system for inspecting steel microstructures.

Quality control of special steel is accomplished through visual inspection of its microstructure bas...

DeepLUCIA: predicting tissue-specific chromatin loops using Deep Learning-based Universal Chromatin Interaction Annotator.

MOTIVATION: The importance of chromatin loops in gene regulation is broadly accepted. There are main...

Detection of weak micro-scratches on aspherical lenses using a Gabor neural network and transfer learning.

Surface defect detection is a crucial step in ensuring the quality of lenses. One method to check fo...

An MR-Conditional Needle Driver for Robot-Assisted Spinal Injections: Design Modifications and Evaluations.

This paper introduces design modifications to our MR-Conditional, 2-degree-of-freedom (DOF), remotel...

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the memb...

Role of Robotic Surgery in Benign Gynecology.

Since Food and Drug Administration approval in 2005, use of the robotic device in gynecologic surger...

Early Experience of Transabdominal and Novel Transvaginal Robot-Assisted Laparoscopic Removal of Transvaginal Mesh.

Mesh removal after transvaginal mesh placement has typically involved transvaginal, open pelvic, la...

Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.

ABSTRACT: Reactome is a database of human biological pathways manually curated from the primary lite...

A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.

Inferring gene regulatory networks (GRNs) based on gene expression profiles is able to provide an in...

An enhanced cascade-based deep forest model for drug combination prediction.

Combination therapy has shown an obvious curative effect on complex diseases, whereas the search spa...

SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.

MiRNAs are a class of small non-coding RNA molecules that play an important role in many biological ...

Artificial intelligence in the prediction of protein-ligand interactions: recent advances and future directions.

New drug production, from target identification to marketing approval, takes over 12 years and can c...

Artificial Intelligence for Precision Oncology.

Precision oncology is an innovative approach to cancer care in which diagnosis, prognosis, and treat...

Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia ...

Robot-assisted carotid artery stenting: outcomes, safety, and operational learning curve.

OBJECTIVE: Over the past 2 decades, robots have been increasingly used in surgeries to help overcome...

Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors.

Artificial intelligence (AI) consists of a synergistic assembly of enhanced optimization strategies ...

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