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[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …
knowledge and provides expedited solutions to complex challenges. Remarkable …
Graph neural networks for materials science and chemistry
Abstract Machine learning plays an increasingly important role in many areas of chemistry
and materials science, being used to predict materials properties, accelerate simulations …
and materials science, being used to predict materials properties, accelerate simulations …
Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction
J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
Efficient electrocatalysts are crucial for hydrogen generation from electrolyzing water.
Nevertheless, the conventional" trial and error" method for producing advanced …
Nevertheless, the conventional" trial and error" method for producing advanced …
Amelioration of Alzheimer's disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow
A reduced removal of dysfunctional mitochondria is common to aging and age-related
neurodegenerative pathologies such as Alzheimer's disease (AD). Strategies for treating …
neurodegenerative pathologies such as Alzheimer's disease (AD). Strategies for treating …
Transformer architecture and attention mechanisms in genome data analysis: a comprehensive review
SR Choi, M Lee - Biology, 2023 - mdpi.com
Simple Summary The rapidly advancing field of deep learning, specifically transformer-
based architectures and attention mechanisms, has found substantial applicability in …
based architectures and attention mechanisms, has found substantial applicability in …
Deep learning for drug repurposing: Methods, databases, and applications
Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …
therapies is an attractive solution that accelerates drug development at reduced …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model
Deciphering universal gene regulatory mechanisms in diverse organisms holds great
potential for advancing our knowledge of fundamental life processes and facilitating clinical …
potential for advancing our knowledge of fundamental life processes and facilitating clinical …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
Microfluidic high-throughput 3D cell culture
High-throughput 3D microfluidic cell culture systems can be designed to model aspects of
human tissues and organs and may thus serve as non-clinical evaluation tools. They benefit …
human tissues and organs and may thus serve as non-clinical evaluation tools. They benefit …