Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association
BACKGROUND: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, includi...
Towards Climate-Smart Agriculture: Strategies for Sustainable Agricultural Production, Food Security, and Greenhouse Gas Reduction
Without transformative adaptation strategies, the impact of climate change is projected to reduce global crop yields and increase food insecurity, while rising greenhouse gas (GHG) emissions further exacerbate the crisis. While agriculture is a ma...
Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
This review explores recent advancements in electric vehicles (EVs), focusing on the transformative role of artificial intelligence (AI) in battery management systems (BMSs) and system control technologies. While EVs are integral to sustainable tr...
Simulating 500 million years of evolution with a language model
More than 3 billion years of evolution have produced an image of biology encoded into the space of natural proteins. Here, we show that language models trained at scale on evolutionary data can generate functional proteins that are far away from k...
EASL Clinical Practice Guidelines on the management of hepatocellular carcinoma
PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks
Sonochemical synthesis of high-performance MgCo2O4 nanostructures as cathode material for the assembly of hybrid supercapacitor
Nucleotide Transformer: building and evaluating robust foundation models for human genomics
Starfish optimization algorithm (SFOA): a bio-inspired metaheuristic algorithm for global optimization compared with 100 optimizers
Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications
Integrated uncertain optimal design strategy for truss configuration and attitude–vibration control in rigid–flexible coupling structure with interval uncertainties
Deep Learning for Time Series Anomaly Detection: A Survey
Time series anomaly detection is important for a wide range of research fields and applications, including financial markets, economics, earth sciences, manufacturing, and healthcare. The presence of anomalies can indicate novel or unexpected even...
Testing and Evaluation of Health Care Applications of Large Language Models
ImportanceLarge language models (LLMs) can assist in various health care activities, but current evaluation approaches may not adequately identify the most useful application areas.ObjectiveTo summarize existing evaluations of LLMs in health care ...
Visitors’ self-expansion and perceived brand authenticity in a cultural heritage tourism destination
This paper discusses the influence of brand experience in tourism destinations on visitor behavioral intentions. The study developed and tested a conceptual model by integrating this theoretical relationship. The test involved 432 valid responses ...
Neuromorphic computing at scale
Machine Learning-Assisted High-Donor-Number Electrolyte Additive Screening toward Construction of Dendrite-Free Aqueous Zinc-Ion Batteries
Datopotamab Deruxtecan Versus Chemotherapy in Previously Treated Inoperable/Metastatic Hormone Receptor–Positive Human Epidermal Growth Factor Receptor 2–Negative Breast Cancer: Primary Results From TROPION-Breast01
PURPOSE The global, phase 3, open-label, randomized TROPION-Breast01 study assessed the trophoblast cell surface antigen 2–directed antibody-drug conjugate datopotamab deruxtecan (Dato-DXd) versus investigator's choice of chemotherapy ...
Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture
Abstract Plant diseases cause significant damage to agriculture, leading to substantial yield losses and posing a major threat to food security. Detection, identification, quantification, and diagnosis of plant diseases are crucial parts...
Editorial: Demonstrating contributions through storytelling
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Academic Publication