A data-driven cluster analysis to explore cognitive reserve and modifiable risk factors in early phases of cognitive decline.

The present study was aimed to cluster sub-groups of patients with varying degrees of cognitive impairment (Subjective Cognitive Decline, mild or Major Neurocognitive Disorder) based on their modifiable risk factors and cognitive reserve with k-means analysis. As a secondary analysis, we described the identified clusters from different perspectives, i.e.

Generation of iPSC lines derived from skin fibroblasts of two healthy controls using non-transmissible form of Sendai Virus.

We established two iPSC lines starting from skin fibroblasts of two healthy individuals using Sendai-virus-based technique. The obtained iPSCs were characterized showing same STR profile as starting fibroblasts, normal karyotype, loss of stemness vectors, expression of stemness markers, both through real-time PCR and immunofluorescence, (OCT4, SOX2, TRA-1-60, NANOG and SSEA4) and in vitro differentiation into three germ layers.

Investigating the individual and joint effects of socioeconomic status and lifestyle factors on mild cognitive impairment in older Italians living independently in the community: results from the NutBrain study.

Objectives: Despite extensive research, a clear understanding of the role of the interaction between lifestyle and socioeconomic status (SES) on cognitive health is still lacking. We investigated the joint association of socioeconomic factors in early to midlife and lifestyle in later life and Mild Cognitive Impairment (MCI).

Design: Observational cross-sectional study.

Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application.

The introduction of computerized medical records in hospitals has reduced burdensome activities like manual writing and information fetching. However, the data contained in medical records are still far underutilized, primarily because extracting data from unstructured textual medical records takes time and effort. Information Extraction, a subfield of Natural Language Processing, can help clinical practitioners overcome this limitation by using automated text-mining pipelines.

Cognitive Hemorrhagic Onset in Cerebral Amyloid Angiopathy: Neuroimaging Features.

Background: Intracerebral hemorrhage and cognitive decline are typical clinical presentations of cerebral amyloid angiopathy (CAA).

Objective: To determine whether magnetic resonance imaging (MRI) features differ between CAA with hemorrhagic cognitive onset.

Methods: In this retrospective study, sixty-one patients with CAA were classified by onset presentation of the disease: hemorrhage (n = 31) or cognitive decline (n = 30).