Development of an online tool to support financial and legal planning in dementia.

Objective: To develop, assess, and refine an online educational tool, Plan for Clarity, to support financial and legal planning in dementia.

Methods: A Delphi mixed-method study with three rounds of anonymous review by lay and professional stakeholders was designed to reach consensus about the content of the online tool and explore the socio-cultural and behavioral factors that could affect access and use.

Results: Consensus showed that the online tool covered key information, knowledge, and communication skills for financial and legal planning.

Evaluating semi-supervision methods for medical image segmentation: applications in cardiac magnetic resonance imaging.

Purpose: Neural networks have potential to automate medical image segmentation but require expensive labeling efforts. While methods have been proposed to reduce the labeling burden, most have not been thoroughly evaluated on large, clinical datasets or clinical tasks. We propose a method to train segmentation networks with limited labeled data and focus on thorough network evaluation.

Use of Telephone- and Internet-Based Support to Elicit and Address Financial Abuse and Mismanagement in Dementia: Experiences from the Care Ecosystem Study.

Background: Financial mismanagement and abuse in dementia have serious consequences for patients and their families. Vulnerability to these outcomes reflects both patient and contextual factors.

Objective: Our study aimed to assess how multidisciplinary care coordination programs assist families in addressing psychosocial vulnerabilities and accessing needed resources.

Goals of Care Conversations and Subsequent Advance Care Planning Outcomes for People with Dementia.

Background: Advance care planning has been shown to improve end of life decision-making for people with dementia. However, the impact of goals of care conversations between people with dementia and their caregivers has not been characterized.

Objective: In this study, we evaluate the association between goals of care conversations and advance care planning outcomes.

Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network.

Purpose: To develop a convolutional neural network (CNN) to triage head CT (HCT) studies and investigate the effect of upstream medical image processing on the CNN's performance.

Materials And Methods: A total of 9776 HCT studies were retrospectively collected from 2001 through 2014, and a CNN was trained to triage them as normal or abnormal. CNN performance was evaluated on a held-out test set, assessing triage performance and sensitivity to 20 disorders to assess differential model performance, with 7856 CT studies in the training set, 936 in the validation set, and 984 in the test set.

Multiparametric Photoacoustic Analysis of Human Thyroid Cancers .

Thyroid cancer is one of the most common cancers, with a global increase in incidence rate for both genders. Ultrasound-guided fine-needle aspiration is the current gold standard to diagnose thyroid cancers, but the results are inaccurate, leading to repeated biopsies and unnecessary surgeries. To reduce the number of unnecessary biopsies, we explored the use of multiparametric photoacoustic (PA) analysis in combination with the American Thyroid Association (ATA) Guideline (ATAP).

Effect of Collaborative Dementia Care via Telephone and Internet on Quality of Life, Caregiver Well-being, and Health Care Use: The Care Ecosystem Randomized Clinical Trial.

Importance: Few health systems have adopted effective dementia care management programs. The Care Ecosystem is a model for delivering care from centralized hubs across broad geographic areas to caregivers and persons with dementia (PWDs) independently of their health system affiliations.

Objective: To determine whether the Care Ecosystem is effective in improving outcomes important to PWDs, their caregivers, and payers beyond those achieved with usual care.

Development of an adaptive, personalized, and scalable dementia care program: Early findings from the Care Ecosystem.

Katherine Possin and colleagues report on the implementation, development, and early findings of the Care Ecosystem, an adaptive, personalized, and scalable dementia care program.

Lost in translation: the unintended consequences of advance directive law on clinical care.

Background: Advance directive law may compromise the clinical effectiveness of advance directives.

Purpose: To identify unintended legal consequences of advance directive law that may prevent patients from communicating end-of-life preferences.

Data Sources: Advance directive legal statutes for all 50 U.

POT1-interacting protein PIP1: a telomere length regulator that recruits POT1 to the TIN2/TRF1 complex.

Human telomere length is controlled by a negative feedback loop based on the binding of TRF1 to double-stranded telomeric DNA. The TRF1 complex recruits POT1, a single-stranded telomeric DNA-binding protein necessary for cis-inhibition of telomerase. By mass spectrometry, we have identified a new telomeric protein, which we have named POT1-interacting protein 1 (PIP1).