Results 131 to 140 of about 3,251,030 (329)
ObjectiveRadiation exposure during pregnancy poses serious risks to fetal health, including increased likelihood of miscarriage, preterm birth, congenital anomalies and developmental disorders, while also impacting maternal occupational safety.
Binghua Liang +5 more
doaj +1 more source
PTSD – an update for general practitioners [PDF]
Provides up-to-date guidance for general practitioners (GPs) in the recognition of PTSD and the current best practice recommendations for pharmacological and psychological treatment. Background Australians are commonly exposed to traumatic events, which
Andrea Phelps +2 more
core
Turning Brownfields into Jobfields [PDF]
A handbook for practitioners and citizens on making brownfields development ...
Carl E. Van Horn +3 more
core
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Obstructive airways diseases, including asthma and COPD as the most commonly encountered respiratory diseases in primary care, are both diagnosed by lung function testing using spirometry as the gold standard.
Janwillem W. H. Kocks +4 more
doaj +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source

