Latest AI and machine learning research in prescriptions for healthcare professionals.
In complex geological environments, the morphology, orientation and distribution characteristics of ...
The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...
Green flexible conductive composites (FCCs) with high flexibility and foldability have potential use...
To design safe, selective, and effective new therapies, there must be a deep understanding of the st...
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (exc...
Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising app...
In recent years, smart textiles and flexible wearable products have garnered significant attention i...
Lung cancer is a prevalent and lethal malignancy characterised by the uncontrolled growth of abnorma...
Acute myeloid leukemia (AML) is a clonal malignancy of myeloid progenitor cells that demonstrates hi...
Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers...
BACKGROUND: Drug recommendation is a crucial application of artificial intelligence in medical pract...
Breast cancer continues to be a leading cause of death among women in the world. The prediction of s...
The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms a...
BACKGROUND: Adverse drug reactions (ADRs) pose serious risks to patient health, and effectively pred...
. Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examina...
In recent years, generative deep learning has emerged as a transformative approach in drug design, p...
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki diseas...
As a fundamental response property, the molecular polarizability is responsible for a wide variety o...
BACKGROUND: Drug repositioning offers a promising avenue for accelerating drug development and reduc...
Gesture recognition has emerged as a pivotal technology for enhancing human-computer interaction (HC...
To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based o...