Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics
Abstract Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow named Chip-Tip, identifying >5,00...
Easy and accurate protein structure prediction using ColabFold
Essential parts of hydrogen economy: Hydrogen production, storage, transportation and application
Collaborative planning of multi-energy systems integrating complete hydrogen energy chain
Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling
Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algorithm inspired by human dreams and its applications to real-world engineering problems
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Recent Patterns and Trends in Global Prostate Cancer Incidence and Mortality: An Update
Integration of renewable energy sources in tandem with electrolysis: A technology review for green hydrogen production
Green hydrogen for a sustainable future: A review of production methods, innovations, and applications
Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges
Empowering sustainability through energy efficiency, green innovations, and the sharing economy: Insights from G7 economies
The power of generative marketing: Can generative AI create superhuman visual marketing content?
Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities
Large language models for robotics: Opportunities, challenges, and perspectives
ML-powered Internet of Medical Things (MLIoMT) Structure for Heart Disease Prediction
Background ML-powered Internet of Medical Things (MLIoMT) is a burgeoning framework poised to transform healthcare, particularly in the timely identification of heart disease. Objectives This article proposes an innovative MLIoMT structure aimed a...
Forecasts of coking coal futures price indices through Gaussian process regressions
AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators
The authors’ central premise is that a human–LLM (large language model) hybrid approach leads to efficiency and effectiveness gains in the marketing research process. In qualitative research, they show that LLMs can assist in both data generation ...
A comprehensive review on environmental and human health impacts of chemical pesticide usage
SaaS Metrics
Academic Publication