[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design

LK Vora, AD Gholap, K Jetha, RRS Thakur, HK Solanki… - Pharmaceutics, 2023 - mdpi.com
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …

Graph neural networks for materials science and chemistry

P Reiser, M Neubert, A Eberhard, L Torresi… - Communications …, 2022 - nature.com
Abstract Machine learning plays an increasingly important role in many areas of chemistry
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 …

Amelioration of Alzheimer's disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

C **e, XX Zhuang, Z Niu, R Ai, S Lautrup… - Nature biomedical …, 2022 - nature.com
A reduced removal of dysfunctional mitochondria is common to aging and age-related
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 …

Deep learning for drug repurposing: Methods, databases, and applications

X Pan, X Lin, D Cao, X Zeng, PS Yu… - Wiley …, 2022 - Wiley Online Library
Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …

Natural language processing for smart healthcare

B Zhou, G Yang, Z Shi, S Ma - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model

X Yang, G Liu, G Feng, D Bu, P Wang, J Jiang, S Chen… - Cell Research, 2024 - nature.com
Deciphering universal gene regulatory mechanisms in diverse organisms holds great
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

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
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 …

Microfluidic high-throughput 3D cell culture

J Ko, D Park, J Lee, S Jung, K Baek, KE Sung… - Nature Reviews …, 2024 - nature.com
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 …