Results 191 to 200 of about 27,815,291 (283)
Correction: Misclassification of firearm-related violent crime in criminal legal system records: challenges and opportunities. [PDF]
Schleimer JP +6 more
europepmc +1 more source
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Retraining the veterans health administration's REACH VET suicide risk prediction model for patients involved in the legal system. [PDF]
Meerwijk EL, Finlay AK, Harris AHS.
europepmc +1 more source
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo +4 more
wiley +1 more source
Enhancing HIV Prevention Efforts in the Criminal Legal System: A Comprehensive Review and Recommendations. [PDF]
Johnson KA +3 more
europepmc +1 more source
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido +10 more
wiley +1 more source
Use of data-driven decision-making among agencies serving individuals with criminal-legal system involvement: a qualitative study. [PDF]
Hailemariam M +9 more
europepmc +1 more source
An Empiricist\u27s View of the Chinese Legal System [PDF]
Marasinghe, M.L.
core +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source

