Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
De novo designed proteins neutralize lethal snake venom toxins
Abstract Snakebite envenoming remains a devastating and neglected tropical disease, claiming over 100,000 lives annually and causing severe complications and long-lasting disabilities for many more ...
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...
Advance in peptide-based drug development: delivery platforms, therapeutics and vaccines
Abstract The successful approval of peptide-based drugs can be attributed to a collaborative effort across multiple disciplines. The integration of novel drug design and synthesis techniques, display library technology, delivery systems,...
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
The Biological Effects of Biochar on Soil’s Physical and Chemical Characteristics: A Review
Owing to its high pH, nutrient content, porous structure, and strong adsorption properties, biochar is an effective soil amendment. The application of biochar to soil represents an effective strategy for ameliorating the environmental conditions i...
actifpTM: a refined confidence metric of AlphaFold2 predictions involving flexible regions
Abstract Summary One of the main advantages of deep learning models of protein structure, such as Alphafold2, is their ability to accurately estimate the confidence of a generated structur...
The role of digital twins in lean supply chain management: review and research directions
Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective
Abstract The development of single-cell and spatial transcriptomics has revolutionized our capacity to investigate cellular properties, functions, and interactions in both cellular and spatial contexts. Despite this progress, the...
Hallucination Mitigation for Retrieval-Augmented Large Language Models: A Review
Retrieval-augmented generation (RAG) leverages the strengths of information retrieval and generative models to enhance the handling of real-time and domain-specific knowledge. Despite its advantages, limitations within RAG components may cause hal...
Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor
Deep Convolutional Neural Networks in Medical Image Analysis: A Review
Deep convolutional neural networks (CNNs) have revolutionized medical image analysis by enabling the automated learning of hierarchical features from complex medical imaging datasets. This review provides a focused analysis of CNN evolution and ar...
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs
Overview on Intrusion Detection Systems for Computers Networking Security
The rapid growth of digital communications and extensive data exchange have made computer networks integral to organizational operations. However, this increased connectivity has also expanded the attack surface, introducing significant security r...
Federated Learning for Cloud and Edge Security: A Systematic Review of Challenges and AI Opportunities
The ongoing evolution of cloud computing requires sustained attention to security, privacy, and compliance issues. The purpose of this paper is to systematically review the current literature regarding the application of federated learning (FL) an...
Movable Antenna-Aided Secure Full-Duplex Multi-User Communications
Human‐ AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners
Abstract Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence appr...
Essential parts of hydrogen economy: Hydrogen production, storage, transportation and application
Collaborative planning of multi-energy systems integrating complete hydrogen energy chain
The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence
AbstractThis paper presents a multidimensional view of AI's role in education, emphasising the intricate interplay among AI, analytics and human learning processes. Here, I challenge the prevalent narrow conceptualisation of AI as tools in Educati...
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