A sustainable and expedited 'One-Stop' prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility.

Objective: To assess the carbon footprint, accessibility, and diagnostic performance of an expedited 'One-Stop' prostate cancer (PCa) diagnostic pathway.

Materials And Methods: A total of 1083 consecutive patients undergoing magnetic resonance imaging (MRI) followed by transrectal ultrasound fusion-guided prostate biopsy (PBx) were identified from a prospective database. The patients were divided according to the diagnostic pathway: One-Stop, with MRI and same-day PBx (3 hours apart), or Standard, with MRI followed by a second visit for PBx.

Solution-Processed MoS-Expanded Graphite as a Fast-Charging Anode for Lithium-Ion Batteries.

The widespread demand for battery-powered technologies has propelled the search for efficient and commercially viable electrode materials with fast-charging abilities. Reported herein is an MoS-expanded graphite (EG) composite as a stable and high-rate lithium-ion battery (LIB) anode, delivering specific capacities of 796 mAh g at 0.5 A g and 320 mAh g at 20 A g over 400 cycles.

Considerations for social networks and health data sharing: An overview.

The use of network analysis as a tool has increased exponentially as more clinical researchers see the benefits of network data for modeling of infectious disease transmission or translational activities in a variety of areas, including patient-caregiving teams, provider networks, patient-support networks, and adoption of health behaviors or treatments, to name a few. Yet, relational data such as network data carry a higher risk of deductive disclosure. Cases of reidentification have occurred and this is expected to become more common as computational ability increases.

Predicting lymph node metastasis in thyroid cancer: systematic review and meta-analysis on the CT/MRI-based radiomics and deep learning models.

Background: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lymph node metastasis (LNM) a critical factor for recurrence and survival. Radiomics and deep learning (DL) advancements offer the potential for improved LNM prediction using CT and MRI, though challenges in diagnostic accuracy remain.

Methods: A systematic review and meta-analysis were conducted per established guidelines, with searches across PubMed, Scopus, Web of Science, and Embase up to February 15, 2024.

Orchestrating cancer therapy: Recent advances in nanoplatforms harmonize immunotherapy with multifaceted treatments.

Advancements in cancer therapy have increasingly focused on leveraging the synergistic effects of combining immunotherapy with other treatment modalities, facilitated by the use of innovative nanoplatforms. These strategies aim to augment the efficacy of standalone treatments while addressing their inherent limitations. Nanoplatforms enable precise delivery and controlled release of therapeutic agents, which enhances treatment specificity and reduces systemic toxicity.

SPOCK2 controls the proliferation and function of immature pancreatic β-cells through MMP2.

Human pluripotent stem cell-derived β-cells (SC-β-cells) represent an alternative cell source for transplantation in diabetic patients. Although mitogens could in theory be used to expand β-cells, adult β-cells very rarely replicate. In contrast, newly formed β-cells, including SC-β-cells, display higher proliferative capacity and distinct transcriptional and functional profiles.

Subtypes of brain change in aging and their associations with cognition and Alzheimer's disease biomarkers.

Structural brain changes underlie cognitive changes and interindividual variability in cognition in older age. By using structural MRI data-driven clustering, we aimed to identify subgroups of cognitively unimpaired older adults based on brain change patterns and assess how changes in cortical thickness, surface area, and subcortical volume relate to cognitive change. We tested (1) which brain structural changes predict cognitive change (2) whether these are associated with core cerebrospinal fluid (CSF) Alzheimer's disease biomarkers, and (3) the degree of overlap between clusters derived from different structural modalities in 1899 cognitively healthy older adults followed up to 16 years.

MRI free water mediates the association between diffusion tensor image analysis along the perivascular space and executive function in four independent middle to aged cohorts.

Introduction: Diffusion tensor image analysis along the perivascular space (DTI-ALPS) index was proposed for assessing glymphatic clearance function. This study evaluated DTI-ALPS as a biomarker for cerebral small vessel disease (cSVD) related vascular cognitive impairment and dementia (VCID).

Methods: Four independent cohorts were examined.

The relationship between channel interaction, electrode placement, and speech perception in adult cochlear implant users.

This study (1) characterized the effects of channel interaction using spectral blurring, (2) evaluated an image-guided electrode selection (IGES) method aiming to reduce channel interaction, and (3) investigated the impact of electrode placement factors on the change in performance by condition. Twelve adult MED-EL (Innsbruck, Austria) cochlear implant recipients participated. Performance was compared across six conditions: baseline (no blurring), all blurred, apical blurred, middle blurred, basal blurred, and IGES.

Hemolysis due to anti-IH in a patient with beta-thalassemia and infection.

Anti-IH is a common cold agglutinin that is typically clinically insignificant. We present a case that resulted in hemolysis. A 32-year-old male patient with transfusion-independent beta-thalassemia intermedia presented with symptomatic anemia.

Comprehensive characterization of MCL-1 in patients with colorectal cancer: Expression, molecular profiles, and outcomes.

Myeloid cell leukemia 1 (MCL-1) is a member of the B-cell lymphoma 2 protein family and has anti-apoptotic functions. Deregulation of MCL-1 has been reported in several cancers, including lung and breast cancer. In the present study, the association of MCL-1 expression with molecular features in colorectal cancer (CRC) has been highlighted.

Higher-order transient membrane protein structures.

This study shows that five membrane proteins-three GPCRs, an ion channel, and an enzyme-form self-clusters under natural expression levels in a cardiac-derived cell line. The cluster size distributions imply that these proteins self-oligomerize reversibly through weak interactions. When the concentration of the proteins is increased through heterologous expression, the cluster size distributions approach a critical distribution at which point a phase transition occurs, yielding larger bulk phase clusters.

Enrollment in Medicare is associated with fewer outpatient mental healthcare visits among those with mental health symptoms.

Objective: To test whether enrolling in traditional Medicare (TM) or Medicare Advantage (MA) at age 65 reduces mental healthcare utilization among individuals with mental health symptoms and low or moderate family incomes.

Study Setting And Design: We employ a fuzzy regression discontinuity design, comparing the likelihood of having an outpatient mental health visit or a psychotropic drug fill among individuals younger than or older than the age 65 Medicare eligibility threshold.

Data Sources And Analytic Sample: We analyze 2014-2021 Medical Expenditure Panel Survey data.

Willingness to Use Oral and Long-Acting Injectable PrEP in Substance-Using Men who have Sex with Men (SU-MSM) in High HIV Incidence Southern U.S. Cities: A NIDA Clinical Trials Network Study.

In Southern U.S. states with high HIV incidence and low HIV Pre-Exposure Prophylaxis (PrEP) uptake, enhanced efforts to increase interest in and willingness to use PrEP are needed.

Social Engagement and Neurocognition in Latino and Non-Latino White Older Persons with HIV.

The present study investigated differences in the quantity and quality of social engagement, and their associations with neurocognition among older Latino and non-Latino White persons with HIV (PWH). Participants were age 50 + community-dwelling PWH living in southern California (n = 116; 50% Latino [53% Spanish-speaking], 50% non-Latino White; Age: M = 58.03; Education: M = 13.

A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.

As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rarely offer new insights to assist clinicians in predicting disease prognosis and treatment response. Using longitudinal retinal imaging data, we developed and validated a predictive model for DR progression: AI-driven Diabetic Retinopathy Progression Prediction Algorithm (ADRPPA).