Chemical graph theory and topological indices are key tools in the study of molecular structures and their properties. This research explores anticancer drugs using neighborhood degree-based topological indices and compares their efficacy through reg...
Correct categorization of skin diseases is vital for prompt diagnosis. However, obstacles such as imbalance of data and interpretability of deep learning models limit their use in medical settings. To overcome these setbacks, Combined Hybrid Architec...
INTRODUCTION: Maternal mortality remains a critical public health challenge in low- and middle-income countries (LMICs), where over 92% of global maternal deaths occur. Artificial intelligence (AI)-enabled solutions are increasingly recognised for th...
INTRODUCTION: Relational agents are an innovative form of Artificial Intelligence (AI) that can help address waiting times for mental health services. They often appear in the form of chatbots that provide responses to patient questions via web or mo...
Wound healing is a complex process that can be compromised by bacterial infections, leading to delayed healing and an increased risk of complications. The aim of this study was to design and develop a novel antibacterial peptide, Healitide-GP1, which...
Skin sensitization is a critical endpoint in toxicology, especially in the context of drug discovery and development process for topical and transdermal treatments. Accurate evaluation of skin sensitization potential is essential to ensure the safety...
BACKGROUND: To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis.
Artificial Intelligence (AI) is reshaping both healthcare delivery and the structure of medical education. This narrative review synthesizes insights from 14 studies exploring how AI is being integrated into undergraduate, postgraduate, and continuin...
BACKGROUND: Artificial intelligence (AI) has become a transformative tool in medical education and assessment. Despite advancements, AI models such as GPT-4o demonstrate variable performance on high-stakes examinations. This study compared the perfor...
The increasing reliance on Human-centric Internet of Things (H-IoT) systems in healthcare and smart environments has raised critical concerns regarding data integrity, real-time anomaly detection, and adaptive access control. Traditional security mec...
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