[HTML][HTML] Review of AlphaFold 3: transformative advances in drug design and therapeutics
Abstract Google DeepMind Technologies Limited (London, United Kingdom) recently
released its new version of the biomolecular structure predictor artificial intelligence (AI) …
released its new version of the biomolecular structure predictor artificial intelligence (AI) …
Anti‐inflammatory effects of natural products from vitamin C‐rich fruits
S Chan, P Xiong, M Zhao, S Zhang, R Zheng… - Food …, 2024 - Wiley Online Library
Inflammation is a crucial target for therapeutic interventions in many life‐threatening
diseases, which sustains ongoing interest in the field of inflammation biology. Plant‐derived …
diseases, which sustains ongoing interest in the field of inflammation biology. Plant‐derived …
A Comparative Analysis of the Performance of Leading Countries in Conducting Artificial Intelligence Research
AH Al-Marzouqi, AA Arabi - Human Behavior and Emerging …, 2024 - Wiley Online Library
Artificial intelligence (AI) is a rapidly expanding field. Given the dynamic nature of AI
research, staying up‐to‐date with this evolving landscape is imperative to guide the global …
research, staying up‐to‐date with this evolving landscape is imperative to guide the global …
Ethical forethoughts on the use of artificial intelligence in medicine
BT ElHassan, AA Arabi - International Journal of Ethics and Systems, 2024 - emerald.com
Purpose The purpose of this paper is to illuminate the ethical concerns associated with the
use of artificial intelligence (AI) in the medical sector and to provide solutions that allow …
use of artificial intelligence (AI) in the medical sector and to provide solutions that allow …
Why have status epilepticus trials failed: Wrong drugs or wrong trials?
H Cock - Epilepsy & Behavior, 2024 - Elsevier
Despite burgeoning interest in trials in status epilepticus over the last 20 years, outcomes
have yet to improve and a number of high profile studies have failed to deliver for a range of …
have yet to improve and a number of high profile studies have failed to deliver for a range of …
Antiviral Medication Prediction Using A Deep Learning Model of Drug-Target Interaction for The Coronavirus SARS-COV
R Fredyan - Engineering, MAthematics and Computer Science …, 2024 - journal.binus.ac.id
Graph convolutional neural networks (GCNs) have shown promising performance in
modeling graph data, particularly for small-scale molecules. Message-passing neural …
modeling graph data, particularly for small-scale molecules. Message-passing neural …
A Review: Drug Discovery Methods Based on Artificial Intelligence
J Chen - Science and Technology of Engineering, Chemistry …, 2024 - deanfrancispress.com
The discovery of drugs is recognized as a lengthy, highly costly, and extremely complex
process. For example, some traditional drug discovery methods consist of millions of trials to …
process. For example, some traditional drug discovery methods consist of millions of trials to …