Sustainable biofabrication: from bioprinting to AI-driven predictive methods

M Filippi, M Mekkattu, RK Katzschmann - Trends in Biotechnology, 2024 - cell.com
Biofabrication is potentially an inherently sustainable manufacturing process of bio-hybrid
systems based on biomaterials embedded with cell communities. These bio-hybrids promise …

Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations

R Fleurence, J Bian, X Wang, H Xu, D Dawoud… - arXiv preprint arXiv …, 2024 - arxiv.org
This review introduces the transformative potential of generative Artificial Intelligence (AI)
and foundation models, including large language models (LLMs), for health technology …

[HTML][HTML] Machine Learning and Artificial Intelligence in drug repurposing–challenges and perspectives

E Anokian, J Bernett, A Freeman, M List… - …, 2024 - scienceopen.com
Artificial Intelligence (AI) and Machine Learning (ML) techniques play an increasingly crucial
role in the field of drug repurposing. As the number of computational tools grows, it is …

[PDF][PDF] Assessing Generative Pre-trained Transformer 4 in Clinical Trial Inclusion Criteria Matching

I Dyyak, V Horlatch, T Pasichnyk, V Pasichnyk - 2024 - ceur-ws.org
Clinical trials play a very important role in improving the quality and expectancy of life. At the
same time, this is a complicated process which require a lot of time, effort, and costs …

Trends in Artificial Intelligence Applications in Clinical Trials: An analysis of ClinicalTrials. gov

JM Go, JY Lee, YK Song, JH Kim - Korean Journal of Clinical …, 2024 - koreascience.kr
Background: Increasing numbers of studies and research about artificial intelligence (AI)
and machine learning (ML) have led to their application in clinical trials. The purpose of this …