Latest AI and machine learning research in prescriptions for healthcare professionals.
With the growing global challenge of drug abuse, there is an urgent need for rapid, accurate, and co...
Drug combination therapy is crucial in cancer treatment, but accurately predicting drug synergy rema...
Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and indispensable step ...
INTRODUCTION: The current understanding of colorectal carcinogenesis is based on the adenoma-carcino...
Plant- and marine-derived natural products are rich sources of bioactive compounds essential for dru...
Recommender systems are widely used in various applications. Knowledge graphs are increasingly used ...
Polymicrobial biofilm infections, especially associated with medical devices such as peripheral veno...
BACKGROUND: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be prev...
As combination therapy becomes more common in clinical applications, predicting adverse effects of c...
INTRODUCTION: Mental disorders, such as anxiety and depression, significantly impacted global popula...
There have been significant advances in robotics, conversational AI, and spoken dialogue systems (SD...
The efficacy of many compounds against is often limited when administered via conventional oral or ...
The production of expressive molecular representations with scarce labeled data is challenging for A...
Parkinson's disease (PD) is one of the most incapacitating neurodegenerative diseases (NDDs). PD is ...
The human microbiota may influence the effectiveness of drug therapy by activating or inactivating t...
The integration of drug molecular representations into predictive models for Drug Response Predictio...
The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studi...
Apprehension of drug action mechanism is paramount for drug response prediction and precision medici...
In computational pathology, graphs have shown to be promising for pathology image analysis. There ex...
The need to mitigate the adverse effects of chemotherapy has driven the exploration of innovative dr...
Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many r...