Results 31 to 40 of about 60,929 (294)
Frontiers in Computer ScienceIntroductionArtificial intelligence (AI) holds promising potential for generating educational resources such as personalized assessments. Despite this appeal, the impact of AI-assisted multiple-choice question (MCQ) authoring on item quality and on ...
Dennis Menze +2 more
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HeliyonThe COVID-19 pandemic presented an unparalleled challenge to global healthcare systems. A central issue revolves around the urgent need to swiftly amass critical biological and medical knowledge concerning the disease, its treatment, and containment ...
Tanvi Sharma +3 more
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Ambulance Siren Detection using Artificial Intelligence in Urban Scenarios
Sir Syed University Research Journal of Engineering and Technology, 2022 Traffic density is growing day by day due to the increasing population and affordable prices of cars. It created a void for traffic management systems to cope with traffic congestion and prioritize ambulances.
Muhammad Usaid +4 more
doaj
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
IEEE AccessScientific machine learning and physics-informed neural networks are novel conceptual approaches that integrate scientific knowledge with methods from data science and deep learning.
Frank Emmert-Streib +3 more
doaj +1 more source
What Is the Role of AI for Digital Twins?
AI, 2023 The concept of a digital twin is intriguing as it presents an innovative approach to solving numerous real-world challenges. Initially emerging from the domains of manufacturing and engineering, digital twin research has transcended its origins and now ...
Frank Emmert-Streib
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Predictive Analytics in Digital Advertising : Are Platforms Really Interested in Accuracy?
, 2022 This chapter examines the predictive features that digital platforms make available to marketing and advertising professionals to create and manage digital advertising campaigns.
Coromina, Òscar,
core +1 more source
From Predictive to Prescriptive Analytics [PDF]
Management Science, 2020 We combine ideas from machine learning (ML) and operations research and management science (OR/MS) in developing a framework, along with specific methods, for using data to prescribe optimal decisions in OR/MS problems. In a departure from other work on data-driven optimization, we consider data consisting, not only of observations of quantities with ...
Dimitris Bertsimas, Nathan Kallus
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source