Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Hydrogen Storage Technology, and Its Challenges: A Review
This paper aims to present an overview of the current state of hydrogen storage methods, and materials, assess the potential benefits and challenges of various storage techniques, and outline future research directions towards achieving effective,...
Foundation models in bioinformatics
ABSTRACT With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, mo...
Artificial Intelligence in Financial and Supply Chain Optimization: Predictive Analytics for Business Growth and Market Stability in The USA
This study investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing supply chain operations and financial forecasting in the USA. The research examines how AI-driven predictive analytics can foster busin...
Regulatory pathways and guidelines for nanotechnology-enabled health products: a comparative review of EU and US frameworks
The integration of nanotechnology into healthcare has introduced Nanotechnology-Enabled Health Products (NHPs), promising revolutionary advancements in medical treatments and diagnostics. Despite their potential, the regulatory navigation for thes...
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor
Green hydrogen for a sustainable future: A review of production methods, innovations, and applications
Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities
Software Update: The ORCA Program System—Version 6.0
ABSTRACTVersion 6.0 of the ORCA quantum chemistry program suite was released in July 2024. ORCA 6.0 is a major turning point in the history of the program since it represents a near complete rewrite of the code base that leads to: (1) major perfor...
Easy and accurate protein structure prediction using ColabFold
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Unpacking help-seeking process through multimodal learning analytics: A comparative study of ChatGPT vs Human expert
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...
Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algorithm inspired by human dreams and its applications to real-world engineering problems
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...
The power of generative marketing: Can generative AI create superhuman visual marketing content?
Does Social Media Pressure Induce Corporate Hypocrisy? Evidence of ESG Greenwashing from China
Toward expert-level medical question answering with large language models
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 ...
Empowering sustainability through energy efficiency, green innovations, and the sharing economy: Insights from G7 economies
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