Deep learning in drug discovery: an integrative review and future challenges
H Askr, E Elgeldawi, H Aboul Ella… - Artificial Intelligence …, 2023 - Springer
Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
C Chakraborty, M Bhattacharya, SS Lee… - Molecular Therapy …, 2024 - pmc.ncbi.nlm.nih.gov
Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug
discovery has come to the forefront. It reduces the time and expenditure. Due to these …
discovery has come to the forefront. It reduces the time and expenditure. Due to these …
The changing scenario of drug discovery using artificial intelligence (AI) to deep learning (DL): Recent advancement, success stories, collaborations, and challenges
C Chakraborty, M Bhattacharya, SS Lee… - … Therapy-Nucleic Acids, 2024 - cell.com
Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug
discovery has come to the forefront. It reduces the time and expenditure. Due to these …
discovery has come to the forefront. It reduces the time and expenditure. Due to these …
HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects
Identifying the frequencies of drug-side effects is crucial for assessing drug risk-benefit.
However, accurately determining these frequencies remains challenging due to the …
However, accurately determining these frequencies remains challenging due to the …
Pneumonia Classification from Chest X-ray Images Using Pre-Trained Network Architectures
Pneumonia is a serious disease caused by a lung infection that affects young and old
people and approximately cause of 4 million deaths each year. Patients that are facing …
people and approximately cause of 4 million deaths each year. Patients that are facing …
[PDF][PDF] Analysis of code vulnerabilities in repositories of github and rosettacode: A comparative study
MSNA Malik, MS Naveed - … Journal of Innovations in Science & …, 2022 - researchgate.net
__________________________________… pen-source code hosted online at
programming portals is present in 99% of commercial software and is common practice …
programming portals is present in 99% of commercial software and is common practice …
Detecting iot attacks using multi-layer data through machine learning
Internet of Things (IoT) devices is being used in countless network applications. However,
due to their insecure nature, the wide adoption of these devices has also increased the …
due to their insecure nature, the wide adoption of these devices has also increased the …
[PDF][PDF] An overview of the most important herbal antimicrobial generic drugs in iran's pharmaceutical market
UM Rao - Journal of Biochemicals and Phytomedicine, 2022 - jbcpm.com
In recent years, the use of medicinal plants has increased in different countries of the world.
Medicinal plants have a special value and importance in providing health to communities …
Medicinal plants have a special value and importance in providing health to communities …
Fingerprint-Based Side Effect Prediction using Artificial Neural Network Optimized by Bat Algorithm: Case Study Metabolism and Nutrition Disorders
SSN Henny, I Kurniawan - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This study employs the Bat Algorithm and Artificial Neural Network (ANN) to predict drug
side effects associated with disorders of nutrition and metabolism, utilizing a dataset from the …
side effects associated with disorders of nutrition and metabolism, utilizing a dataset from the …
Implementation of Hybrid Bat Algorithm-Ensemble on Side Effect Prediction: Case Study Metabolism and Nutrition Disorders
DR Ahmad, I Kurniawan - 2024 ASU International …, 2024 - ieeexplore.ieee.org
Drug side effects are an unwanted response by the body. This side effect becomes a serious
problem for health and can cause effects such as nausea, headaches, and even death …
problem for health and can cause effects such as nausea, headaches, and even death …