Applied humanities as the antidote for the malaise of bioethics.

The present paper highlights the urgency for a revitalization of the field of bioethics. The authors have identified the "malaise" present in contemporary bioethics, and they claim that it has become a boring way to approach medicine and life sciences instead of challenging them. Starting from a brief explanation of the origin of bioethics, this paper analyzes the main issues at the core of its malaise, i.

P-tau217 and other blood biomarkers of dementia: variation with time of day.

Plasma biomarkers of dementia, including phosphorylated tau (p-tau217), offer promise as tools for diagnosis, stratification for clinical trials, monitoring disease progression, and assessing the success of interventions in those living with Alzheimer's disease. However, currently, it is unknown whether these dementia biomarker levels vary with the time of day, which could have implications for their clinical value. In two protocols, we studied 38 participants (70.

Reliable Contactless Monitoring of Heart Rate, Breathing Rate, and Breathing Disturbance During Sleep in Aging: Digital Health Technology Evaluation Study.

Background: Longitudinal monitoring of vital signs provides a method for identifying changes to general health in an individual, particularly in older adults. The nocturnal sleep period provides a convenient opportunity to assess vital signs. Contactless technologies that can be embedded into the bedroom environment are unintrusive and burdenless and have the potential to enable seamless monitoring of vital signs.

Feldenkrais method and clinical psychology: A systematic literature review exploring the potential of Feldenkrais Method in psychiatric care.

Background: In psychotherapy, physical exercise has gained recognition and extensive research attention, displaying promise in various mental health conditions. Practices such as yoga, tai chi, and the Feldenkrais Method® (FM) have also emerged as effective mental health interventions.

Objectives: This systematic literature review (SLR) explores the applicability of FM, a somatic practice, in psychiatric care and emotional regulation, as it emphasizes the interplay between bodily sensations, action patterns, and cognitive processes.

From Scalp to Ear-EEG: A Generalizable Transfer Learning Model for Automatic Sleep Scoring in Older People.

Objective: Sleep monitoring has extensively utilized electroencephalogram (EEG) data collected from the scalp, yielding very large data repositories and well-trained analysis models. Yet, this wealth of data is lacking for emerging, less intrusive modalities, such as ear-EEG.

Methods And Procedures: The current study seeks to harness the abundance of open-source scalp EEG datasets by applying models pre-trained on data, either directly or with minimal fine-tuning; this is achieved in the context of effective sleep analysis from ear-EEG data that was recorded using a single in-ear electrode, referenced to the ipsilateral mastoid, and developed in-house as described in our previous work.