MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Researchers developed predictive models using routine clinical metrics to estimate pain modulation profiles in chronic pain.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

Objective Systemic corticosteroids for 5–7 days are standard care for asthma exacerbations, but the optimal duration and ...

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Scientists identified cellular metabolism and energy signaling as a central factor connecting genetic and environmental ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

Despite recommendations for posttreatment surveillance in lung cancer patients, there is wide variability in the follow-up care that lung cancer patients receive. A recent study, led by senior ...