[HTML][HTML] The pharmaceutical productivity gap–incremental decline in R&D efficiency despite transient improvements

KDS Fernald, PC Förster, E Claassen… - Drug Discovery …, 2024 - Elsevier
Highlights•Rising R&D expenditures reflect ongoing incremental efficiency decline.•Recent
stabilization in R&D efficiency may not indicate structural reversal.•Sustained turnaround in …

Artificial intelligence and machine learning implemented drug delivery systems: a paradigm shift in the pharmaceutical industry

GK Jena, CN Patra, S Jammula, R Rana… - Journal of Bio-X …, 2024 - spj.science.org
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the pharmaceutical
industry, particularly in drug development and delivery. These technologies enable …

[การอ้างอิง][C] The Role of Fenugreek in the Management of Type 2 Diabetes

M Haxhiraj, K White, C Terry - Int. J. Mol. Sci, 2024 - europepmc.org
The number of people diagnosed with type 2 diabetes is on the increase worldwide. Of
growing concern, the prevalence of type 2 diabetes in children and youths is increasing …

[HTML][HTML] Artificial Intelligence for Drug Development, Personalized Prescriptions, and Adverse Event Prediction

M Farrokhi, F Taheri, A Moeini, M Farrokhi… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has revolutionized drug development, personalized prescriptions,
and adverse event prediction in the field of healthcare. Through advanced algorithms and …

[HTML][HTML] Perspectives, Challenges, and the Future of Biomedical Technology and Artificial Intelligence

S Tovar-Arriaga, GI Pérez-Soto, KA Camarillo-Gómez… - Technologies, 2024 - mdpi.com
Biomedical technologies are the compound of engineering principles and technologies
used to diagnose, treat, monitor, and prevent illness. Advances in science and engineering …

Integrating artificial intelligence to biomedical science: New applications for innovative stem cell research and drug development

M Kim, S Hong - Technologies, 2024 - mdpi.com
Artificial intelligence (AI) is rapidly advancing, aiming to mimic human cognitive abilities, and
is addressing complex medical challenges in the field of biological science. Over the past …

Evolution of artificial intelligence in healthcare: a 30-year bibliometric study

Y **e, Y Zhai, G Lu - Frontiers in Medicine, 2025 - frontiersin.org
Introduction In recent years, the development of artificial intelligence (AI) technologies,
including machine learning, deep learning, and large language models, has significantly …

Critical role of single drop microextraction for drug isolation from complex matrix towards efficient pharmaceutical analysis: Advances and challenges

K Javar, A Foroozandeh, M Souri, HS Amoli… - TrAC Trends in …, 2025 - Elsevier
The accurate quantification of drug analytes in complex matrices, such as serum, urine, and
pharmaceutical formulations, depends heavily on efficient sample preparation techniques to …

[HTML][HTML] Assessing riverbank change caused by sand mining and waste disposal using web-based volunteered geographic information

M Bayazidy, M Maleki, A Khosravi, AM Shadjou… - Water, 2024 - mdpi.com
River water is one of the most important natural resources for economic development and
environmental sustainability. However, river water systems are vulnerable in some of the …