Rethinking drug design in the artificial intelligence era
https://doi.org/10.1038/s41573-019-0050-3
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https://doi.org/10.1038/s41573-019-0050-3
The Constrained Application Protocol (CoAP) is widely adopted to ensure end-to-end reliability in resource-constrained Artificial Intelligence of Things (AIoT) and Wireless Sensor Networks (WSNs). However, CoAP’s default retransmission time...
10.3390/s26123960
Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous vehicles (AVs) promises safer and more ecologically frie...
10.1109/ACCESS.2024.3431437
Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorit...
https://doi.org/10.1007/s11245-023-09940-3
The present research turns around the concepts and processes of Becoming and Individuation where it evidences a functional model based on the articulation of an informational processing system based on the approaches of the philosopher Gilb...
10.13125/CH/4320
Abstract Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-mimicking effects. We investigated whether PAEs are associated with the acceleration of bone age (BA) in girls with early onset of p...
10.1038/s41598-022-19470-4
In Brief This article provides an overview of artificial intelligence (AI), including how AI algorithms and robots are altering the nurse's role and the challenges facing the nursing profession as AI is integrated into healthcare delivery....
https://doi.org/10.1097/01.numa.0000578988.56622.21
PMC: 7597764
https://doi.org/10.1016/j.autcon.2022.104192
At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation p...
https://doi.org/10.1111/jpim.12523
Artificial intelligence (AI) is rapidly changing how the financial system is operated, taking over core functions for both cost savings and operational efficiency reasons. AI will assist both risk managers and the financial authorities. How...
https://doi.org/10.1016/j.jbankfin.2021.106290
10.1016/j.jbc.2026.113610
PMC: PMC13738122
Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...
10.1016/j.atech.2024.100762
https://doi.org/10.1016/j.crad.2019.02.006
With the rapid development of information technology, personalized education has become a key direction for improving the quality of online learning and optimizing individualized learning paths. However, accurately recommending appropriate ...
10.1109/ACCESS.2025.3576878
Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention ...
https://doi.org/10.3174/ajnr.a6883
PMC: 7814792
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to i...
https://doi.org/10.1007/978-3-030-64573-1_200
PMC: 6362807
This article provides an introduction to artificial intelligence, robotics, and research streams that examine the economic and organizational consequences of these and related technologies. We describe the nascent research on artificial int...
https://doi.org/10.1186/s41469-019-0050-0
Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...
https://doi.org/10.1001/jamasurg.2019.4917
PMC: 7286802
10.1136/jitc-2026-016031
PMC: PMC13735266
10.1007/s00520-026-11388-1
PMC: PMC13736418