AIMC Topic: Research Personnel

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MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.

Briefings in bioinformatics
Adverse drug-drug interactions (DDIs) have become an increasingly serious problem in the medical and health system. Recently, the effective application of deep learning and biomedical knowledge graphs (KGs) have improved the DDI prediction performanc...

Report on the FEBS-IUBMB-ENABLE 1st International Molecular Biosciences PhD and Postdoc Conference.

FEBS open bio
The FEBS-IUBMB-ENABLE 1st International Molecular Biosciences PhD and Postdoc Conference was held in Seville, Spain, from the 16-18th of November 2022. Nearly 300 participants from all over the globe were welcomed by the host institution, the Institu...

Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches.

The Gerontologist
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over...

Predicting molecular properties based on the interpretable graph neural network with multistep focus mechanism.

Briefings in bioinformatics
Graph neural networks based on deep learning methods have been extensively applied to the molecular property prediction because of its powerful feature learning ability and good performance. However, most of them are black boxes and cannot give the r...

The scientific progress and prospects of artificial intelligence in digestive endoscopy: A comprehensive bibliometric analysis.

Medicine
Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention and shown promising and stimulating results. This study aimed to determine the d...