Latest AI and machine learning research in prescriptions for healthcare professionals.
Drug resistance to chemotherapeutic agents remains a formidable challenge in cancer treatment, signi...
Graph Neural networks (GNNs) have been applied in many scenarios due to the superior performance of ...
The scarcity of medical resources and personnel has worsened due to COVID-19. Telemedicine faces ch...
Ubiquitin-specific protease (USP), an enzyme catalyzing protein deubiquitination, is involved in bio...
Given the prolonged timelines and high costs associated with traditional approaches, accelerating dr...
The Time Domain Passivity Approach (TDPA) has been accepted as one of least conservative tools for d...
Drug-induced diseases are the most important component of iatrogenic disease. It is the duty of doct...
The process of virtual screening relies heavily on the databases, but it is disadvantageous to condu...
Parkinson's disease (PD) is a complex neurodegenerative disorder with an unclear etiology. Despite s...
In the human cardiovascular system (CVS), the interaction between the left and right ventricles of t...
The computational method has been proven to be a promising means for pre-screening large-scale antic...
The flexible bimodal e-skin exhibits significant promise for integration into the next iteration of ...
The increasing utilization of artificial intelligence algorithms in drug development has proven to b...
Although the use of immune checkpoint inhibitors (ICIs)-targeted agents for unresectable hepatocellu...
Computer-aided drug design has advanced rapidly in recent years, and multiple instances of in silico...
. Brain-computer interface (BCI) technology is poised to play a prominent role in modern work enviro...
The application of Artificial Intelligence (AI) to screen drug molecules with potential therapeutic ...
Cellular communication relies on the intricate interplay of signaling molecules, forming the Cell-ce...
Protein-DNA and protein-RNA interactions are involved in many biological processes and regulate many...
Protein-protein interactions (PPIs) have shown increasing potential as novel drug targets. The desig...
BACKGROUND: Protein language models, inspired by the success of large language models in deciphering...