As agentic AI and autonomous agents trend in 2026, enterprises face a major new hurdle: standard IAM stacks aren't built to ...

What the user has been doing in the session, not just what they're looking at, is a separate context layer that most teams ...

An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial ...

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

Abstract: Agent-based microsimulation has become the standard to analyze intelligent transportation systems, using disaggregate travel demand data for entire populations, data that are not typically ...

Guidelines unanimously recommend quadruple therapy for patients with heart failure with reduced ejection fraction (HFrEF), yet direct comparative evidence is lacking to recommend a specific order of ...

Microsimulation is a form of individual-based stochastic simulation. In continuous time, microsimulation is closely related to discrete event simulation, and in discrete time it is closely related to ...

aInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada bCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, ...

Abstract: Plug-in electric vehicles (PEVs) represent a significant opportunity for governments to reduce emissions of both air pollutants and greenhouse gases, in addition to reduce their dependency ...

Despite progress in addressing HIV/AIDS, the burden remains uneven, especially in low- and middle-income countries (LMICs). Social determinants of health (SDH) significantly influence HIV/AIDS. We ...