Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …

Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

The integration of artificial intelligence (AI) into drug discovery has markedly advanced the
search for effective therapeutics. In our study, we employed a comprehensive computational …

Amidst prevailing healthcare challenges, a dynamic solution emerges, fusing knowledge
graph technology, clinical trials optimization, dataspace integration, and AI innovation. This …

At present, with its gain in popularity and widespread utilization, almost all scientific fields
are being influenced by the revolution in artificial intelligence (AI). Consequently, many …

Lymphoma diagnoses in the US are substantial, with an estimated 89,380 new cases in
2023, necessitating innovative treatment approaches. Phase 1 clinical trials play a pivotal …

Background Discontinued and unpublished randomized clinical trials (RCTs) are common
resulting in biased publication and loss of potential knowledge. The magnitude of selective …

Background and Objective: Hypertension increases the risk of cardiovascular diseases
(CVD) such as stroke, heart attack, heart failure, and kidney disease, contributing to global …

Randomized clinical trials (RCTs) have a key role in progressing biomedical research and
guiding clinical decision making, but premature termination remains high (up to 30%) …

In Alzheimer's disease research, the integration of artificial intelligence (AI) enables
researchers to uncover patterns and biomarkers faster, facilitating earlier diagnosis and …