[HTML][HTML] AI in drug discovery and its clinical relevance

R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi… - Heliyon, 2023 - cell.com
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …

[HTML][HTML] Estrogenic flavonoids and their molecular mechanisms of action

R Kiyama - The Journal of Nutritional Biochemistry, 2023 - Elsevier
Flavonoids are a major group of phytoestrogens associated with physiological effects, and
ecological and social impacts. Although the estrogenic activity of flavonoids was reported by …

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

M Sahu, R Gupta, RK Ambasta, P Kumar - Progress in molecular biology …, 2022 - Elsevier
The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …

[HTML][HTML] Drug discovery and development: introduction to the general public and patient groups

N Singh, P Vayer, S Tanwar, JL Poyet… - Frontiers in Drug …, 2023 - frontiersin.org
Finding new drugs usually consists of five main stages: 1) a pre-discovery stage in which
basic research is performed to try to understand the mechanisms leading to diseases and …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

[HTML][HTML] Artificial intelligence-driven drug development against autoimmune diseases

P Moingeon - Trends in pharmacological sciences, 2023 - cell.com
Artificial intelligence (AI)-based predictive models are being used to foster a precision
medicine approach to treat complex chronic diseases such as autoimmune and …

Virtual patients, digital twins and causal disease models: paving the ground for in silico clinical trials

P Moingeon, M Chenel, C Rousseau, E Voisin… - Drug discovery today, 2023 - Elsevier
Highlights•Predictive computational models are useful to complement clinical trials.•Disease
models that infer causality in pathophysiology have been produced.•Quantitative System …

Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery

B Rebecca, KPM Kumar, S Padmini… - … of Research on AI and …, 2024 - igi-global.com
The drug discovery and design process has been significantly transformed by the integration
of data science, artificial intelligence (AI), green chemistry principles, and affordable …

A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence

S Pandiyan, L Wang - Computers in Biology and Medicine, 2022 - Elsevier
Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …

Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony

FXB de Thé, C Baudier, RA Pereira, C Lefebvre… - Drug Discovery …, 2023 - Elsevier
Highlights•Computational platforms allow to create disease models supporting drug
discovery.•Therapeutic targets are selected based on deep understanding of …