Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare
Abstract This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophtha...
Generative AI in international hotel marketing: impacts on employee creativity and performance
Purpose This study aims to explore how generative AI enhances employee creativity and performance in international hotel marketing. It applies an integrated technology–organization–environment (TOE) and antecedents–behavior–conse...
AI-driven sustainable finance: computational tools, ESG metrics, and global implementation
Abstract The integration of artificial intelligence (AI) into sustainable finance has emerged as a pivotal innovation for improving environmental, social, and governance (ESG) evaluation. However, ESG data remain fragmented, inco...
Global burden of cardiovascular diseases: projections from 2025 to 2050
Abstract Aims The prediction of future trends in cardiovascular disease (CVD) mortality and their risk factors can assist policy-makers in healthcare planning. This study aims to project geospati...
An Intelligent Hierarchical Structure for Cyber-Physical System Security Establishment
Educational Strategies for Clinical Supervision of Artificial Intelligence Use
Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges
Artificial intelligence (AI) is changing how we teach and learn, generating excitement and concern about its potential to transform education. To contribute to the debate, this systematic literature review examines current research trends (publica...
Epistemic authority and generative AI in learning spaces: rethinking knowledge in the algorithmic age
Research on the impact of generative artificial intelligence (GenAI) on enterprise innovation performance: a knowledge management perspective
Purpose This study aims to investigate the impact of generative artificial intelligence (GenAI) on enterprise innovation performance, particularly from the perspective of knowledge management. It addresses key challenges in Gen...
Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives
The Consolidated Framework for Implementation Research (CFIR) User Guide: a five-step guide for conducting implementation research using the framework
Abstract Background The Consolidated Framework for Implementation Research (CFIR) is a determinant framework that includes constructs from many implementation theories, models, and frameworks; it is used to predi...
Toward precision interventions and metrics of inflammaging
Silver nanoparticles as next-generation antimicrobial agents: mechanisms, challenges, and innovations against multidrug-resistant bacteria
The escalating prevalence of multidrug-resistant (MDR) bacteria presents a critical global health challenge, necessitating the urgent development of alternative antimicrobial strategies. Silver nanoparticles (AgNPs) have emerged as promising antim...
Extracellular vesicle-based drug overview: research landscape, quality control and nonclinical evaluation strategies
Abstract Extracellular vesicles share lipid‒protein membranes with their parent cells, allowing for the targeted transfer of bioactive cargo to recipient cells for functional modulation. The biological features allow extracellular vesicl...
Scalable emulation of protein equilibrium ensembles with generative deep learning
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that emulates protein equilibrium ensembles by gene...
Treasure Hunting for Brands: Metaverse Marketing Gamification Effects on Purchase Intention, WOM, and Loyalty
Machine Learning and Generative AI in Learning Analytics for Higher Education: A Systematic Review of Models, Trends, and Challenges
This systematic review examines how machine learning (ML) and generative AI (GenAI) have been integrated into learning analytics (LA) in higher education (2018–2025). Following PRISMA 2020, we screened 9590 records and included 101 English-languag...
Cancer stem cells: landscape, challenges and emerging therapeutic innovations
Abstract Cancer stem cells (CSCs) constitute a highly plastic and therapy-resistant cell subpopulation within tumors that drives tumor initiation, progression, metastasis, and relapse. Their ability to evade conventional treatments, adap...
Artificial Intelligence for Materials Discovery, Development, and Optimization
SaaS Metrics
Academic Publication