Smartphone app for lifestyle improvement improves brain health and boosts the vitality and cognitive function of healthy middle ‐aged adults
ConclusionThe results of this study suggest that improving lifestyle habits through smartphone apps can improve brain health and cognitive and emotional performance of healthy middle-aged adults. This is consistent with previous research that suggests that FA integrity in the limbic-thalamo-cortical pathway influences cognitive function and emotion regulation. (Source: Brain and Behavior)
Source: Brain and Behavior - April 30, 2024 Category: Neurology Authors: Keisuke Kokubun,
Kiyotaka Nemoto,
Yoshinori Yamakawa Tags: ORIGINAL ARTICLE Source Type: research
Prediction of cell cycle distribution after drug exposure by high content imaging analysis using low ‐toxic DNA staining dye
In this study, we developed the cell cycle prediction model using high-content imaging data of recipient cells after drug exposure and DNA-staining with a low-toxic DNA dye, SiR-DNA. For this purpose, we exploited HeLa and MCF7 cells introduced with a fluorescent ubiquitination-based cell cycle indicator (Fucci). Fucci-expressing cancer cells were subjected to high-content imaging analysis using OperettaCLS after 36-h exposure to anticancer drugs; the nuclei were segmented, and the morphological and intensity properties of each nucleus characterized by SiR-DNA staining were calculated using imaging analysis software, Harmo...
Source: Pharmacology Research and Perspectives - April 30, 2024 Category: Drugs & Pharmacology Authors: Kazuma Takeuchi,
Yumiko Nishimura,
Takayoshi Matsubara,
Sho Isoyama,
Asuka Suzuki,
Masaaki Matsuura,
Shingo Dan Tags: SHORT REPORT Source Type: research
Corrugated Box Damage Classification Using Artificial Neural Network Image Training
Results from this study show that modifying images in various ways provided high predictive accuracy in multiple categories of modifications. From these overall high predictive accuracies, it was not always the case that cropped images provided higher predictive accuracy than that of original photos of the same modification. Compression images showed the highest accuracy rate among all categories due to their consistent form of visible damage at the buckling point. ABSTRACTThis paper proposes a novel packaging evaluation method using corrugated box images and an artificial neural network (ANN). An ANN works in a way simila...
Source: Packaging Technology and Science - April 30, 2024 Category: Food Science Authors: Sarah Holland,
Mahsa Tavasoli,
Euihark Lee Tags: RESEARCH ARTICLE Source Type: research
Increasing Student Engagement by Adapting Curriculum to Diverse Training Sites
To improve the nursing training curriculum within 1 year by understanding the challenges and limitations in geriatric training delivery to the diverse trainee groups and to provide geriatric educators with practical guidance with proposed strategies to improve trainees ’ engagement by adapting the geriatric curriculum to the diverse population groups in various educational settings. (Source: Journal of the American Medical Directors Association)
Source: Journal of the American Medical Directors Association - April 30, 2024 Category: Health Management Authors: Oksana Shnayder, Sweta Tewary, Naushira Pandya Source Type: research
Implementing Structure Change: Preceptor Training Program in Long-Term Care
Long-term care (LTC) has experienced pandemic-induced staffing shortages, requiring skilled preceptors to nurture competent direct-care staff. Implementing a structure change, a Preceptor Training Program (PTP), establishes an organized framework for investing in preceptor development. This quality improvement (QI) project aims to successfully implement a PTP and increase the pool of quality-trained preceptors to train the rapid influx of new staff at a LTC facility. (Source: Journal of the American Medical Directors Association)
Source: Journal of the American Medical Directors Association - April 30, 2024 Category: Health Management Authors: Chien Chen, Janna Alayu Source Type: research
Evaluating Movement Disorder Training in Geriatric Curriculum
Movement disorders are an essential part of training for geriatric fellowship that need to be incorporated in every geriatric fellowship. (Source: Journal of the American Medical Directors Association)
Source: Journal of the American Medical Directors Association - April 30, 2024 Category: Health Management Authors: Meylin M. Robertson, Ganesh P. Merugu, Polisetty Sudheer, Robin A. Barry, Anu Garg, Zahra Aftab, Cletus U. Iwuagwu Source Type: research
Addressing Veteran Health Equity Through Public-Private Partnerships
Patients receiving long-term care (LTC) services are at higher risk for social determinants of health (SODH) disparities. Strategic public-private partnerships (P3) facilitate collaborations to reduce health inequities. As the largest integrated health care system, the organization is invested in achieving health equity for all Veterans through robust P3 that address SDOH, increasing access to (1) high-quality care; (2) healthy foods; (3) training and employment resources; and (4) civic participation and social-cohesion opportunities. (Source: Journal of the American Medical Directors Association)
Source: Journal of the American Medical Directors Association - April 30, 2024 Category: Health Management Authors: Chien Chen, Janna Alayu Source Type: research
Evaluation of a Training Course for Certified Nursing Assistants
The optimal performance of nursing homes depends significantly on training their personnel, especially certified nursing assistants (CNAs), who provide the bulk of daily care for residents. There are several challenges to delivering effective training in the long-term care (LTC) setting. One of the greatest challenges is high turnover rates, which interfere with the continuity of care and necessitate the constant training of new staff. 2022 Long Term Care Staffing Study, which received information from 1201 nursing facilities in Texas noted direct care CNA turnover at 67.4%, and licensed vocational nurse (LVN) turnover at ...
Source: Journal of the American Medical Directors Association - April 30, 2024 Category: Health Management Authors: Sarah E. Ross, Jennifer J. Severance, Sara Murphy, Solymar Rivera-Torres Source Type: research
Obesity ‐induced skeletal muscle remodeling: A comparative analysis of exercise training and ACE‐inhibitory drug in male mice
Enalapril and aerobic exercise training have been found to shift the activity of the renin-angiotensin system (RAS) toward the counterregulatory arm and the kallikrein-kinin system (KKS) toward the bradykinin receptor subtype 2 (B2R), which in turn helps reduce apoptosis markers (BAX/Bcl-2 ratio) and improve PGC-1 α expression in muscle. However, it is worth noting that only exercise training mitigates obesity-induced myofiber atrophy. This is due to its ability to upregulate the mTOR/p70S6K pathway, boost muscle mitochondrial biogenesis marker (PGC-1α), and lower levels of muscle protein degradation marker s (MuRF-1 and...
Source: Physiological Reports - April 30, 2024 Category: Physiology Authors: Ana Beatriz Proen ça,
Beatriz Alexandre‐Santos,
Isabele Gomes Giori,
Jaime Silva Filho Alex‐Marques,
Clarice Machado‐Santos,
Marcus Machado,
D'Angelo Carlo Magliano,
Antonio Claudio Lucas da Nobrega,
Eliete Dalla Corte Frantz Tags: ORIGINAL ARTICLE Source Type: research
DISSECT: deep semi-supervised consistency regularization for accurate cell type fraction and gene expression estimation
Cell deconvolution is the estimation of cell type fractions and cell type-specific gene expression from mixed data. An unmet challenge in cell deconvolution is the scarcity of realistic training data and the d... (Source: Genome Biology)
Source: Genome Biology - April 30, 2024 Category: Genetics & Stem Cells Authors: Robin Khatri, Pierre Machart and Stefan Bonn Tags: Method Source Type: research
Letter to the Editor Regarding Article “Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset”
AbstractThe cited article reports on a convolutional neural network trained to predict response to neoadjuvant chemotherapy from pre-treatment breast MRI scans. The proposed algorithm attains impressive performance on the test dataset with a mean Area Under the Receiver-Operating Characteristic curve of 0.98 and a mean accuracy of 88%. In this letter, I raise concerns that the reported results can be explained by inadvertent data leakage between training and test datasets. More precisely, I conjecture that the random split of the full dataset in training and test sets did not occur on a patient level, but rather on the lev...
Source: Journal of Digital Imaging - April 30, 2024 Category: Radiology Source Type: research
Automatic Skeleton Segmentation in CT Images Based on U-Net
AbstractBone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct clinical contexts which can result in morphological alterations in bone structure. The visual assessment of these changes through anatomical images is considered suboptimal, emphasizing the importance of precise skeletal segmentation as a valuable aid for its evaluation. In the present study, a neural network model for automatic skeleton segmentation from bidimensional computerized tomography (CT) slices is proposed. A total of 77 CT images and their semimanual skeleton segmentation from two acquisition protocols (whole...
Source: Journal of Digital Imaging - April 30, 2024 Category: Radiology Source Type: research
Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data
This study aimed to develop a prediction model for NPC survival by harnessing both pre- and post-treatment magnetic resonance imaging (MRI) radiomics in conjunction with clinical data, focusing on 3-year progression-free survival (PFS) as the primary outcome. Our comprehensive approach involved retrospective clinical and MRI data collection of 276 eligible NPC patients from three independent hospitals (180 in the training cohort, 46 in the validation cohort, and 50 in the external cohort) who underwent MRI scans twice, once within 2 months prior to treatment and once within 10 months after treatment. From the contrast-e...
Source: Journal of Digital Imaging - April 30, 2024 Category: Radiology Source Type: research
A substance use disorder training curriculum for internal medicine residents using resident-empaneled patients
Internal Medicine (IM) residents frequently encounter, but feel unprepared to diagnose and treat, patients with substance use disorders (SUD). This is compounded by negative regard for patients with SUD. Optim... (Source: BMC Medical Education)
Source: BMC Medical Education - April 30, 2024 Category: Universities & Medical Training Authors: Mim Ari and Julie L. Oyler Tags: Research Source Type: research
Proprioceptive training methods (PTM) in female soccer players – a systematic review
ConclusionThe obtained results indicate the necessity to implement proprioceptive training in female soccer training programs, in order to influence the prevention and reduction of injuries and improve balance, proprioceptive ability and body control. (Source: BMC Sports Science, Medicine and Rehabilitation)
Source: BMC Sports Science, Medicine and Rehabilitation - April 30, 2024 Category: Sports Medicine Source Type: research
