The following is a summary of “Cost–consequence analysis of early vs. delayed natalizumab use in highly active ...

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...

A research team has made significant discoveries regarding the complex reaction mechanisms of carbon dioxide (CO₂) in ...

HKUST researchers discovered how CO2 reacts in supercritical water, identifying pyrocarbonate ions as key intermediates.

A research team has made significant discoveries regarding the complex reaction mechanisms of carbon dioxide (CO2) in supercritical water. These findings are crucial for understanding the molecular ...

Hidden Markov Models (HMMs) are powerful statistical tools used to analyze systems that are assumed to be governed by unobservable (hidden) states. These models are particularly useful in various ...

New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...