[HTML][HTML] On the road to explainable AI in drug-drug interactions prediction: A systematic review
Over the past decade, polypharmacy instances have been common in multi-diseases
treatment. However, unwanted drug-drug interactions (DDIs) that might cause unexpected …
treatment. However, unwanted drug-drug interactions (DDIs) that might cause unexpected …
A novel graph mining approach to predict and evaluate food-drug interactions
MM Rahman, SM Vadrev, A Magana-Mora, J Levman… - Scientific reports, 2022 - nature.com
Food-drug interactions (FDIs) arise when nutritional dietary consumption regulates
biochemical mechanisms involved in drug metabolism. This study proposes FDMine, a …
biochemical mechanisms involved in drug metabolism. This study proposes FDMine, a …
MECDDI: clarified drug–drug interaction mechanism facilitating rational drug use and potential drug–drug interaction prediction
Drug–drug interactions (DDIs) are a major concern in clinical practice and have been
recognized as one of the key threats to public health. To address such a critical threat, many …
recognized as one of the key threats to public health. To address such a critical threat, many …
BDN-DDI: A bilinear dual-view representation learning framework for drug–drug interaction prediction
G Ning, Y Sun, J Ling, J Chen, J He - Computers in Biology and Medicine, 2023 - Elsevier
Drug–drug interactions (DDIs) refer to the potential effects of two or more drugs interacting
with each other when used simultaneously, which may lead to adverse reactions or reduced …
with each other when used simultaneously, which may lead to adverse reactions or reduced …
DCGG: drug combination prediction using GNN and GAE
Recent findings show that drug combination therapy can increase efficacy, decrease drug
resistance, and reduce drug side effects. Due to the enormous number of possibilities in the …
resistance, and reduce drug side effects. Due to the enormous number of possibilities in the …
[HTML][HTML] A knowledge-integrated deep learning framework for cellular image analysis in parasite microbiology
R Feng, S Li, Y Zhang - STAR protocols, 2023 - Elsevier
Cellular image analysis is an important method for microbiologists to identify and study
microbes. Here, we present a knowledge-integrated deep learning framework for cellular …
microbes. Here, we present a knowledge-integrated deep learning framework for cellular …
A tandem white shark algorithm approach for optimizing drug–disease and drug–drug interactions in multimorbidity and polypharmacy
SM Al Khatib - Biomedical Signal Processing and Control, 2024 - Elsevier
Minimizing Drug–disease and drug–drug Interactions in Polypharmacy and Multimorbidity
(DIPM) is a challenging problem. The challenge is caused by the large number of similar …
(DIPM) is a challenging problem. The challenge is caused by the large number of similar …
DDREL: From drug-drug relationships to drug repurposing
Analyzing the relationships among various drugs is an essential issue in the field of
computational biology. Different kinds of informative knowledge, such as drug repurposing …
computational biology. Different kinds of informative knowledge, such as drug repurposing …
DcDiRNeSa, Drug Combination Prediction by Integrating Dimension Reduction and Negative Sampling Techniques
M Tabatabaei, H Rahmani… - Journal of AI and Data …, 2023 - jad.shahroodut.ac.ir
The search for effective treatments for complex diseases, while minimizing toxicity and side
effects, has become crucial. However, identifying synergistic combinations of drugs is often a …
effects, has become crucial. However, identifying synergistic combinations of drugs is often a …
Genre Classification of Movies from a Single Poster Image Using Feature Fusion
F Nadem, R Mahdian, H Zareian - 2021 7th International …, 2021 - ieeexplore.ieee.org
The movie industry is one of the largest and most influential sectors of any community. Each
movie in the industry consists of different elements such as actors, directors, preparation …
movie in the industry consists of different elements such as actors, directors, preparation …