Latest AI and machine learning research in prescriptions for healthcare professionals.
α-Terpineol and 1,8-cineole are two important compounds in essential oils. This study developed an e...
Accurate prediction of drug-target interactions (DTIs) is pivotal for accelerating the processes of ...
In recent years, combined drug screening has played a very important role in modern drug discovery. ...
Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly app...
BACKGROUND: Alzheimer's disease (AD), the most prevalent form of dementia, remains enigmatic in its ...
Drug-target interactions (DTIs) are pivotal in drug discovery and development, and their accurate id...
Extensive research has confirmed the widespread presence of microorganisms in the human body and the...
Microplastics (MPs) easily migrate into deeper soil layers, posing potential risks to subterranean h...
Predicting drug-target interactions (DTIs) is a crucial step in the development of new drugs and dru...
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-t...
Breast milk is essential for infant health, but the transfer of xenobiotic chemicals poses significa...
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the des...
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. ...
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-...
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting...
The emergence of artificial intelligence (AI) in drug discovery represents a transformative developm...
Sequential Recommendation is based on modelling sequential dependencies in user interactions to prod...
BACKGROUND: Natural language processing (NLP) and machine learning (ML) techniques may help harness ...
Nanocarriers (NCs) have emerged as a revolutionary approach in targeted drug delivery, promising to ...
Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations...
Predicting protein-protein interaction (PPI) binding affinities in unseen protein complex clusters i...