Advances of artificial intelligence in anti-cancer drug design: a review of the past decade

L Wang, Y Song, H Wang, X Zhang, M Wang, J He… - Pharmaceuticals, 2023 - mdpi.com
Anti-cancer drug design has been acknowledged as a complicated, expensive, time-
consuming, and challenging task. How to reduce the research costs and speed up the …

Past, present, and future perspectives on computer-aided drug design methodologies

D Bassani, S Moro - Molecules, 2023 - mdpi.com
The application of computational approaches in drug discovery has been consolidated in
the last decades. These families of techniques are usually grouped under the common …

[HTML][HTML] Game changers in science and technology-now and beyond

UAK Betz, L Arora, RA Assal, H Azevedo… - … Forecasting and Social …, 2023 - Elsevier
The recent devastating pandemic has drastically reminded humanity of the importance of
constant scientific and technological progress. A strong interdisciplinary dialogue between …

[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 …

[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Strategies of Artificial intelligence tools in the domain of nanomedicine

M Habeeb, HW You, M Umapathi, KK Ravikumar… - Journal of Drug Delivery …, 2024 - Elsevier
Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic
tools and therapies for a wide range of medical conditions. It encompasses a variety of …

[HTML][HTML] Towards revolutionizing precision healthcare: A systematic literature review of artificial intelligence methods in precision medicine

W Abbaoui, S Retal, B El Bhiri, N Kharmoum… - Informatics in Medicine …, 2024 - Elsevier
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

Applications of artificial intelligence in clinical laboratory genomics

S Aradhya, FM Facio, H Metz, T Manders… - American Journal of …, 2023 - Wiley Online Library
The transition from analog to digital technologies in clinical laboratory genomics is ushering
in an era of “big data” in ways that will exceed human capacity to rapidly and reproducibly …

Machine Learning Techniques for Accurate Disease Prediction and Diagnosis

S Dahiya - Advances in Computer Sciences, 2023 - academicpinnacle.com
Predictive modeling has emerged as a powerful tool in disease diagnosis, leveraging data-
driven approaches to improve accuracy and efficiency. This paper reviews recent …

Decoding the protein–ligand interactions using parallel graph neural networks

C Knutson, M Bontha, JA Bilbrey, N Kumar - Scientific reports, 2022 - nature.com
Protein–ligand interactions (PLIs) are essential for biochemical functionality and their
identification is crucial for estimating biophysical properties for rational therapeutic design …