Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Advancements in Hydrogels: A Comprehensive Review of Natural and Synthetic Innovations for Biomedical Applications
In the rapidly evolving field of biomedical engineering, hydrogels have emerged as highly versatile biomaterials that bridge biology and technology through their high water content, exceptional biocompatibility, and tunable mechanical properties. ...
Physics-informed neural networks for PDE problems: a comprehensive review
Comprehensive Review on the Structural Diversity and Versatility of Multi-Resonance Fluorescence Emitters: Advance, Challenges, and Prospects toward OLEDs
Algorithmic bias in public health AI: a silent threat to equity in low-resource settings
Software Educativos para el Proceso de Enseñanza Aprendizaje de Matemáticas en Bachillerato
La implementación de software educativos fortalece el proceso de enseñanza aprendizaje y promueve el desarrollo de conocimientos, habilidades y competencias en Matemáticas. Por lo tanto, el objetivo del estudio fue analizar el empleo de software e...
antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation
Abstract Microorganisms synthesize small bioactive compounds through their secondary or specialized metabolism. Those compounds play an important role in microbial interactions and soil health, but are also crucial for the developme...
The UniProt website API: facilitating programmatic access to protein knowledge
Abstract The UniProt REST API is a freely available, open-access resource that powers the UniProt.org website and gives users flexible programmatic interaction with protein knowledge data. It provides access to UniProtKB, UniRef, Un...
Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries
Ensuring the trustworthiness of artificial intelligence (AI) systems is critical as they become increasingly integrated into domains like healthcare, finance, and public administration. This paper explores frameworks and metrics for evaluating AI ...
The promise and challenges of generative AI in education
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Abstract The rapid advancement of high-throughput sequencing and other assay technologies has resulted in the generation of large and complex multi-omics datasets, offering unprecedented opportunities for advancing precision medicin...
The role of agentic AI in shaping a smart future: A systematic review
Generative AI without guardrails can harm learning: Evidence from high school mathematics
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. A key question is how generative AI affects learning—namely, how humans acquire new skills as they perfor...
Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Abstract Electrospinning has emerged as a transformative technique for fabricating nanofibers (NFs), offering precise control over their morphology, composition, and functionality. This versatile process facilitates the productio...
VNDHR: Variational Single Nighttime Image Dehazing for Enhancing Visibility in Intelligent Transportation Systems via Hybrid Regularization
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
Solar Cell Efficiency Tables (Version 66)
ABSTRACTConsolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since Janua...
Evaluating the impact of two decades of USAID interventions and projecting the effects of defunding on mortality up to 2030: a retrospective impact evaluation and forecasting analysis
A Comparative Analysis of Glycemic Metrics Derived From Three Continuous Glucose Monitoring Systems
OBJECTIVE This study analyzed the differences in continuous glucose monitoring (CGM)-derived metrics among three current-generation systems and evaluated their impact on therapeutic decision-making. ...
Security and Privacy Challenges of Large Language Models: A Survey
Large language models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and question-answering. Today, LLMs have become quite popular tools in nat...
SaaS Metrics
Academic Publication