Large-scale, well organized, and open datasets are necessary for primary care–focused artificial intelligence and machine learning (AI/ML) research and development. This article proposes a set of high-level considerations around the data transformation needed to enable the growth of AI/ML applications in primary care.

In a new analysis of the RECOVER-Adult cohort, Mass General Brigham researchers found a two- to three-times higher risk of long COVID in those with social risk factors, including financial hardship, food insecurity, experiences of medical discrimination, and skipped medical care due to cost. Findings are published in Annals of Internal Medicine.

About The Study: This randomized clinical trial found that among older adults at risk of cognitive decline and dementia, a structured, higher-intensity intervention of regular moderate-to-high-intensity physical exercise, adherence to the MIND diet, cognitive challenge and social engagement, and cardiovascular health monitoring had a statistically significant greater benefit on global cognition compared with an unstructured, self-guided intervention.

Known as the US Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (US POINTER) trial, this study was developed as a follow-up to the landmark 2015 Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) trial, which demonstrated significant cognitive benefit after two years of multidomain intervention in older adults at elevated risk of Alzheimer disease and related dementias. Specifically, the POINTER trial aimed to compare the effects of two multimodal lifestyle interventions on global cognitive function – structured and unstructured – in at least 2,000 at-risk older adults.