A global consensus on how to end COVID-19 as a public health threat

Researchers present a novel protocol structure for achieving global/semi-global finite-time consensus in multi-agent systems. The protocols use a hyperbolic tangent function to guarantee consensus and provide explicit calculation of settling time, making them practical for real-world applications.

Researchers developed an adapted nominal group technique (aNGT) to efficiently build consensus among diverse stakeholders, prioritizing key domains and identifying new care indicators. The approach was effective in reaching a consensus on prioritizing symptoms, functioning, and quality of care.

A recent study found that emphasizing the scientific consensus on climate change can clear up misperceptions and strengthen beliefs about its existence and causes. Researchers surveyed over 10,500 people across 27 countries and observed a similar response to the consensus message.

The expert consensus provides a structured framework for assessing large language models (LLMs) before deployment in clinical workflows. The framework includes retrospective evaluation, six key capability domains, and essential safeguards for patient data protection and bias mitigation.

Leading professional organizations announce first-time multidisciplinary consensus guidelines for essential and comprehensive care centers in the US. The guidelines aim to address known variation in outcomes at different centers, providing structure, process, and outcome components necessary for quality care.

A multidisciplinary consensus updates treatment guidance for prolactinomas, emphasizing early recognition, individualized management strategies, and advanced imaging. The recommendations cover screening, assessment, diagnosis, treatment, and long-term monitoring to improve patient outcomes and quality of life.