Associations of milk, dairy products, calcium and vitamin D intake with risk of developing Parkinson´s disease within the EPIC4ND cohort.

Literature indicates a potential association between dairy consumption and risk of Parkinson´s disease (PD), especially among men, yet the results remain inconclusive. We investigated this association in a large prospective European cohort. Dietary and non-dietary data was collected from 183,225 participants of the EPIC-for-Neurodegenerative-Diseases (EPIC4ND) cohort, a sub-cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

Artificial intelligence-generated feedback on social signals in patient-provider communication: technical performance, feedback usability, and impact.

Objectives: Implicit bias perpetuates health care inequities and manifests in patient-provider interactions, particularly nonverbal social cues like dominance. We investigated the use of artificial intelligence (AI) for automated communication assessment and feedback during primary care visits to raise clinician awareness of bias in patient interactions.

Materials And Methods: (1) Assessed the technical performance of our AI models by building a machine-learning pipeline that automatically detects social signals in patient-provider interactions from 145 primary care visits.

The Landscape of Osteocalcin Proteoforms Reveals Distinct Structural and Functional Roles of Its Carboxylation Sites.

Human osteocalcin (OC) undergoes reversible, vitamin K-dependent γ-carboxylation at three glutamic acid residues, modulating its release from bones and its hormonal roles. A complete understanding of OC roles and structure-activity relationships is still lacking, as only uncarboxylated and few differently carboxylated variants have been considered so far. To fill this lack of knowledge, a comprehensive experimental and computational investigation of the structural properties and calcium-binding activity of all the OC variants is reported here.

Perceived illness-related uncertainty among patients with mid-stage relapsing-remitting multiple sclerosis.

Background: Patients with multiple sclerosis (MS) have to deal with a variable disease trajectory often associated with disability and productivity loss.

Objective: This study aimed to assess illness-related uncertainty and associated correlates in patients with relapsing-remitting multiple sclerosis (RRMS) beyond the near diagnosis phase.

Methods: We conducted a multicenter, non-interventional study including patients diagnosed with RRMS (2017 revised McDonald criteria) and a disease duration of 3 to 8 years.