A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review
Artificial intelligence (AI) has played a vital role in computer-aided drug design (CADD). This
development has been further accelerated with the increasing use of machine learning (ML) …
development has been further accelerated with the increasing use of machine learning (ML) …
[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 …
and adverse event prediction in the field of healthcare. Through advanced algorithms and …
Virtual laboratories: Transforming research with ai
New scientific knowledge is needed more urgently than ever, to address global challenges
such as climate change, sustainability, health, and societal well-being. Could artificial …
such as climate change, sustainability, health, and societal well-being. Could artificial …
[HTML][HTML] High throughput edit distance computation on FPGA-based accelerators using HLS
Edit distance is a computational grand challenge problem to quantify the minimum number
of editing operations required to modify one string of characters to the other, finding many …
of editing operations required to modify one string of characters to the other, finding many …
Generative AI in Drug Designing: Current State-of-the-Art and Perspectives
Abstract Generative Artificial Intelligence (GenAI) is a branch of AI focused on creating new
data or outputs, such as images, text, sounds, and molecular structures of novel compounds …
data or outputs, such as images, text, sounds, and molecular structures of novel compounds …
Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training
Abstract Generative Artificial Intelligence (AI), characterized by its ability to generate diverse
forms of content including text, images, video and audio, has revolutionized many fields …
forms of content including text, images, video and audio, has revolutionized many fields …
The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention
W Shafik - Strategies for E-Commerce Data Security: Cloud …, 2024 - igi-global.com
This study explores the transformational potential of generative artificial intelligence (GAI) in
commerce fraud detection and prevention within e-commerce, highlighting the growing risk …
commerce fraud detection and prevention within e-commerce, highlighting the growing risk …
[HTML][HTML] Advances and challenges in drug design against dental caries: application of in silico approaches
Z Chen, X Zhao, H Zheng, Y Wang, L Zhang - Journal of Pharmaceutical …, 2024 - Elsevier
Dental caries, a chronic disease characterized by tooth decay, occupies the second position
in terms of disease burden and is primarily caused by cariogenic bacteria, especially …
in terms of disease burden and is primarily caused by cariogenic bacteria, especially …
Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
Q Liao, Y Zhang, Y Chu, Y Ding, Z Liu, X Zhao… - npj Biomedical …, 2025 - nature.com
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial
intelligence (AI) methods such as machine learning and deep learning, AI-based DTI …
intelligence (AI) methods such as machine learning and deep learning, AI-based DTI …