Data-driven discovery of associations between prescribed drugs and dementia risk: A systematic review.

Abstract: Recent clinical trials on slowing dementia progression have led to renewed focus on finding safer, more effective treatments. One approach to identify plausible candidates is to assess whether existing medications for other conditions may affect dementia risk. We conducted a systematic review to identify studies adopting a data-driven approach to investigate the association between a wide range of prescribed medications and dementia risk.

Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings.

Background: Predicting dementia early has major implications for clinical management and patient outcomes. Yet, we still lack sensitive tools for stratifying patients early, resulting in patients being undiagnosed or wrongly diagnosed. Despite rapid expansion in machine learning models for dementia prediction, limited model interpretability and generalizability impede translation to the clinic.

GenBank 2025 update.

GenBank® (https://www.ncbi.nlm.

Dementia in-patient units in psychiatric hospitals: research priority setting.

Aims And Method: Dementia in-patient units (DIU) are mental health wards that care for people living with dementia (PLWD) whose symptoms are causing severe distress or potential risk. DIUs look after some of the most vulnerable and unwell people in society, yet they are environments that are underresearched: a recent systematic review revealed only 36 articles worldwide relating to DIUs. To better understand research priorities in DIUs, we undertook a two-round online Delphi survey of PLWD with experience of DIUs, their carers and professionals who work in DIUs.

Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).

Background: Interest in modifiable risk factors (MRFs) for dementia is high, given the personal, social, and economic impact of the disorder, especially in ageing societies such as the United Kingdom. Exploring the population attributable fraction (PAF) of dementia attributable to MRFs and how this may have changed over time remains unclear. Unravelling the temporal dynamics of MRFs is crucial for informing the development of evidence-based and effective public health policies.