OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more
From first tools, to flight, to advances in medicine and biotechnology, enhancing our innate abilities has been a constant goal and militaries the world over have long sought to advance the limits of human performance in their warfighters. Human augm... read more
BACKGROUND: Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective first-line treatments for advanced non-small-cell lung cancer (NSCLC) patients with EGFR mutations. However, some patients do not respond we... read more
BACKGROUND: Bisphenol A (BPA) exposure has been implicated in various health issues, including diabetic nephropathy (DN). Understanding the molecular mechanisms underlying BPA-induced DN is crucial for developing effective therapeutic strategies. read more
Climate change is a global pressing issue that cannot tackle without curbing CO emissions, which are a major contributor to climate change. Therefore, this study investigates the influencing effect of green finance especially in renewable energy, fin... read more
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more
A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agricultur... read more
Human immunodeficiency virus (HIV) often affects episodic memory. Yet, standard measures of this domain are derived from clinicians' simple counts of recalled and omitted pieces of information, undermining robustness, informativeness, and scalabilit... read more
OBJECTIVES: This study aims to develop and evaluate machine-learning (ML) models that can predict interleukin-6 (IL-6) test outcomes and support the management of inappropriate IL-6 test requests. read more
Ecotoxicology and environmental safety
Aug 18, 2025
Numerous organic chemicals are present in aquatic environments, yet systematically identifying and prioritizing these compounds remains a major challenge, particularly in tropical island watersheds where data are scarce. In this study, we applied hig... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.