Results 161 to 170 of about 81,312 (294)
ABSTRACT Background The annual number of pancreatoduodenectomies (PDs) in the United States has increased over the past decade, but the facility types driving this growth and whether outcomes have improved remain unclear. We aimed to identify characteristics of facilities with increasing PD volumes and assess national trends in centralization ...
Koichi Tomita, Naruhiko Ikoma
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 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
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
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Comparing disparities in geographic proximity to exercise-based cardiac rehabilitation before and after decentralisation of services: a repeated cross-sectional study using individual-level register data. [PDF]
Bihrmann K +4 more
europepmc +1 more source
This article introduces a fully 3D‐printed, electronics‐free sensory system for a six‐legged soft robot, enabling adaptive responses such as obstacle detection and directional changes using pneumatic logic gates. The design demonstrates efficient, robust operation through rapid sensor feedback and autonomous functionality, highlighting new ...
Philipp Auth +6 more
wiley +1 more source
Decentralising drug-resistant TB treatment initiation services. [PDF]
Murphy-Okpala N +15 more
europepmc +1 more source

