artificial intelligence

Artificial intelligence in sales (2017-early 2026): field consolidation and the rise of human-AI collaboration

Blockchain in the pharmaceutical supply chain

Regulatory non-compliance, fragmented traceability, and counterfeit drugs are ongoing problems for the pharmaceutical supply chain. To close these gaps, blockchain technology provides a transparent, tamper-proof, and decentralised platform that makes it possible for safe data sharing, automated compliance, and real-tim...

Continuity Science and Recoverability-Constrained Systems: A Unified Foundational, Mathematical, Constitutional, and Operational Framework for Living Systems and Future Continuity

This publication presents an integrated foundational, mathematical, constitutional, and operational framework for Continuity Science and Recoverability-Constrained Systems. The framework investigates the conditions under which identities, rights, relationships, protected interests, institutions, living systems, resourc...

Method core for "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education"

Data-free method core of the article "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education" (Computers and Education: Artificial Intelligence, 2026, 100685). The archive contains the closed-form counter of the six bipartite subgraph configurations and the shared-...

Artificial Intelligence Applied to Epigenomic Data in Leukemia: A Systematic Review of Diagnostic, Prognostic and Monitoring Models

Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chromatin accessibility profiles encode the cell of origin, lineage and clinical behaviour of the disease. Artificial intelligence (AI) and machine learning (ML) can extract predictive patterns from these high-dimensional dat...

A Hybrid deep learning model for effective segmentation and classification of lung nodules from CT images

Deep learning algorithms will be used to detect lung nodule anomalies at an earlier stage. The primary goal of this effort is to properly identify lung cancer, which is critical in preserving a person’s life. Lung cancer has been a source of concern for people all around the world for decades. Several researchers prese...

Artificial intelligence–based competency assessment in first aid education: A scoping review protocol

This scoping review will map the evidence on the use of artificial intelligence (AI) to assess learner competency in first aid education. Although AI is increasingly used in resuscitation and first aid training, mainly as an instructional or feedback intervention, how AI has been applied to assess learner competency ha...

Role Based Agent Collaboration for Business Logic Extraction from Legacy Systems

Legacy systems remain critical to many organizations, yet extracting their embedded business logic presents significant challenges due to outdated programming languages, limited documentation, complex dependencies, and accumulated technical debt. Traditional reverse-engineering approaches often require substantial manu...

Artificial intelligence for microscopy: from image analysis to intelligent imaging

Emerging directions at the intersection of artificial intelligence and optical imaging are discussed, including smart microscopy systems capable of adaptive acquisition, agent-based AI approaches for scientific discovery, and the growing importance of sustainable computing in data-intensive bioimaging.

A Break-Glass Plan for Biological Security: Bibliometric Analysis of Methods for Building Virus-Length Recombinant DNA Constructions Identifies Advanced DNA Polymerases as Key Reagents and Suggests Additional Controls that Might Be Imposed in Response to Triggering Biological Incidents

Today, in 2026, there is concern that existing or improved pandemic pathogens might be made in labs, and that construction of pathogens might be assisted by Artificial Intelligence (AI). In the near future, it seems possible that pathogen construction might be assisted by AI agents acting under human direction or even...

Enhancing chip verification using artificial intelligence

Decision Assurance by Design A Capability Framework for Trustworthy AI Governance in the Enterprise

Artificial intelligence increasingly informs consequential enterprise decisions, yet prevailing governance approaches tend to assess ethical principles, model properties, regulatory conformity or audit activities in isolation. This conceptual paper argues that trustworthy AI governance should focus on the organizationa...