BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity bias.

Background: Deep learning-based drug-target affinity (DTA) prediction methods have shown impressive performance, despite a high number of training parameters relative to the available data. Previous studies have highlighted the presence of dataset bias by suggesting that models trained solely on protein or ligand structures may perform similarly to those trained on complex structures. However, these studies did not propose solutions and focused solely on analyzing complex structure-based models.

Effects of a yoga-based stress reduction intervention on stress, psychological outcomes and cardiometabolic biomarkers in cancer caregivers: A randomized controlled trial.

Caregiving stress is a risk factor for cardiometabolic disease. Therefore, integrating cardiometabolic biomarkers into caregiving research provides a more comprehensive assessment of an individual's health and response to an intervention. The objective of this study was to examine the effects of a yoga-based stress reduction intervention on stress, psychological outcomes, and cardiometabolic biomarkers in cancer caregivers.

Symptom Clusters in Family Caregivers of Hematopoietic Stem Cell Transplantation Recipients: Loneliness as a Risk Factor.

A symptom cluster is a group of 2 or more symptoms that occur together and are related to each other. Family caregivers of allogeneic hematopoietic stem cell transplantation (HSCT) recipients experience multiple concurrent symptoms, but the majority of symptom research in this population has focused on assessing and managing individual symptoms. The purpose of this analysis was to determine (1) whether clusters of 5 highly prevalent symptoms (fatigue, sleep disturbance, depression, anxiety, and cognitive impairment) in allogeneic HSCT caregivers could be identified and (2) which caregiver and patient characteristics influence membership in the identified symptom cluster groups.

Virtual Reality in Clinical Practice and Research: Viewpoint on Novel Applications for Nursing.

Virtual reality is a novel technology that provides users with an immersive experience in 3D virtual environments. The use of virtual reality is expanding in the medical and nursing settings to support treatment and promote wellness. Nursing has primarily used virtual reality for nursing education, but nurses might incorporate this technology into clinical practice to enhance treatment experience of patients and caregivers.

Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor.

Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progression. Bcl-xL, an anti-apoptotic protein, is an important modulator of the mitochondrial apoptosis pathway and is a promising target for anticancer therapy. In this study, we identified octenidine as a novel Bcl-xL inhibitor through structural feature-based deep learning and molecular docking from a library of approved drugs.

Older Adults' Perception on and Use of Patient Portals: A Comparative Analysis of Two Samples.

Older adults can benefit from using patient portals. Little is known whether perception of and use of patient portals differ among older adults in diverse healthcare contexts. This study analyzed the difference in perceived usability, self-efficacy, and use of patient portals between older adults recruited from a healthcare system (n = 174) and older adults recruited from nationwide communities (n = 126).

Testing a Model of Patient Portal Use in Adult Patients.

Purpose: The aim of this study was to test a modified version of the Technology Acceptance Model, which describes users' technology adoption, to examine the relations between patient portal use and potential influencing factors in adult patients who have used patient portals. The modified model posits that patient portal use can be explained by attitude and self-efficacy for using patient portals, perceived usefulness and ease of use, data privacy and security concerns, eHealth literacy, education level, and age.

Design: A cross-sectional anonymous online survey was conducted for adult patients who had used their patient portals in the past 12 months.

Older adults' use of patient portals: Experiences, challenges, and suggestions shared through discussion board forums.

Patient portals (PPs) are robust health IT programs that engage and empower patients in their care. Although PPs can benefit older adults who manage chronic conditions, their use of PPs have been largely overlooked and little training has been provided to them. Previously, our research team developed an older-adult-friendly Theory-based PP eLearning Program (T-PeP) and tested its impact on older adults with chronic conditions.

Testing the Impact of a Cancer Survivorship Patient Engagement Toolkit on Selected Health Outcomes.

Objectives: To evaluate an interactive electronic Cancer Survivorship Patient Engagement Toolkit (CaS-PET) using a single-group pre-/post-test design.

Sample & Setting: 30 cancer survivors with a mean age of 56.5 years (SD = 13.

Older Adults' Experience Using Patient Portals in Communities: Challenges and Opportunities.

Patient portals can be beneficial for older adults who manage their own health. However, there is a lack of research on older adults' experience using patient portals in the community. The aim of this study was to assess older adults' perceived usability of patient portals they currently use.

Patient Portal Use Among Older Adults: What Is Really Happening Nationwide?

Patient portals (PPs), secure websites that allow patients to access their electronic health records and other health tools, can benefit older adults managing chronic conditions. However, studies have shown a lack of PP use in older adults. Little is known about the way they use PPs in community settings and specific challenges they encounter.

Development of supporting materials for microbial immobilization and iron oxidation.

We developed the microbial immobilization particle with curdlan and activated carbon, which has great adsorption capacity. The characteristics of porosity and mechanical strength of these supporting particles are dependent on manufacturing method. The supporting particle showed the best performance when the ratio of curdlan and activated carbon was 30 to 6 g/L.