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Feb 23, 2024 · This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various ...
Feb 15, 2024 · This study indicates that XFZY is a promising option within traditional Chinese medicine compound preparation for combating PH, particularly in cases ...
Nov 4, 2024 · Conclusion: Machine learning combined with clinical imaging and histologic screening of clinical information has a good predictive potential for the efficacy ...
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Dec 19, 2023 · We develop a previously undescribed computational approach, called DrugSim2DR, which uses a network diffusion algorithm to identify candidate anticancer drugs.
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Apr 25, 2024 · Eventually, seven machine-learning (ML) algorithms were employed to evaluate the predictive accuracy of clinical, genomic, transcriptomic, and TCR repertoire ...
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Sep 22, 2024 · This study introduces the Material Generation Algorithm (MGA), inspired by the principles of material chemistry, to estimate PV parameters effectively.
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Apr 25, 2024 · One research line focuses on matching function learning, which utilizes deep learning techniques to learn intricate user-item matching function [170]. Notably, ...
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Apr 4, 2024 · Using machine learning to model microbial community drug metabolism, abundance features of prevalent species predicted the biotransformation of some drugs ...
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Jun 5, 2024 · Large language models (LLMs) have excelled across domains, also delivering notable perfor- mance on the medical evaluation benchmarks, such as MedQA.
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Sep 11, 2024 · Through the integration of multiple computational imaging techniques, RUSH3D facilitates a 13-fold improvement in data throughput and an orders-of-magnitude ...
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