Environment scan of generative AI infrastructure for clinical and translational science.

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers.

Manipulating autophagic degradation in human diseases: from mechanisms to interventions.

Targeted degradation, having emerged as a powerful and promising strategy in drug discovery in the past two decades, has provided a solution for many once undruggable targets involved in various diseases. While earlier targeted degradation tools, as exemplified by PROteolysis-TArgeting Chimera (PROTAC), focused on harnessing the ubiquitin-proteasome system, novel approaches that aim to utilize autophagy, a potent, lysosome-dependent degradation pathway, have also surfaced recently as promising modalities. In this review, we first introduce the mechanisms that establish selectivity in autophagy, which provides the rationales for autophagy-based targeted degradation; we also provide an overview on the panoply of cellular machinery involved in this process, an arsenal that could be potentially harnessed.

Impact of cariprazine on body weight and blood pressure among adults with bipolar I disorder, schizophrenia, or major depressive disorder in a real-world setting.

Background: Atypical antipsychotics are a common treatment for serious mental illness, but many are associated with adverse effects, including weight gain and cardiovascular issues, and real-world experience may differ from clinical trial data. Cariprazine has previously demonstrated a favorable safety and tolerability profile in clinical trials. Here, we evaluated the effects of cariprazine on body weight and blood pressure for bipolar I disorder (BP-I), schizophrenia, or as adjunctive treatment for major depressive disorder (MDD) using real-world data.

Health Expenditures of Patients With Diabetes After Bariatric Surgery: Comparing Gastric Bypass and Sleeve Gastrectomy.

Background: Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) differ in their effects on body weight and risk for reoperation. However, it is unclear whether long-term health expenditures differ by procedure type in patients with diabetes.

Objective: To compare health expenditures 3 years before and 5.

The Association of Epstein-Barr Virus Donor and Recipient Serostatus With Outcomes After Kidney Transplantation : A Retrospective Cohort Study.

Background: Prior studies indicate that 1% to 4% of Epstein-Barr virus (EBV)-seronegative recipients of EBV-seropositive donor (EBV D+/R-) kidneys develop posttransplant lymphoproliferative disorder (PTLD). However, these estimates are based on limited data that lack granularity.

Objective: To determine the associations between pretransplant EBV D+/R- and recipient EBV-seropositive status (R+) and the outcomes of PTLD and graft and patient survival among adult kidney transplant recipients.

Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.

Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.

Effects of Noise and Public Setting on Blood Pressure Readings : A Randomized Crossover Trial.

Background: Guidelines emphasize quiet settings for blood pressure (BP) measurement.

Objective: To determine the effect of noise and public environment on BP readings.

Design: Randomized crossover trial of adults in Baltimore, Maryland.

Predicting inflammatory response of biomimetic nanofibre scaffolds for tissue regeneration using machine learning and graph theory.

Tissue regeneration after a wound occurs through three main overlapping and interrelated stages namely inflammatory, proliferative, and remodelling phases, respectively. The inflammatory phase is key for successful tissue reconstruction and triggers the proliferative phase. The macrophages in the non-healing wounds remain in the inflammatory loop, but their phenotypes can be changed interactions with nanofibre-based scaffolds mimicking the organisation of the native structural support of healthy tissues.

Fully Synthetic Data for Complex Surveys.

When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from surveys collected with complex sampling designs. Our approach adheres to the general strategy proposed by Rubin (1993).

Landscapes-a lens for assessing sustainability.

Context: There are urgent calls to transition society to more sustainable trajectories, at scales ranging from local to global. Landscape sustainability (LS), or the capacity for landscapes to provide equitable access to ecosystem services essential for human wellbeing for both current and future generations, provides an operational approach to monitor these transitions. However, the complexity of landscapes complicates how and what to consider when assessing LS.

Prediction of induction motor faults using machine learning.

Unplanned downtime in industrial sectors presents significant challenges, impacting both production efficiency and profitability. To tackle this issue, companies are actively working towards optimizing their operations and reducing disruptions that hinder their ability to meet customer demands and financial goals. Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis.

Extremely early initiation of vasopressors might not decrease short-term mortality for adults with septic shock: a systematic review and meta-analysis.

Background: The optimal timing for initiating vasopressor therapy in patients with septic shock remains unclear. This study aimed to assess the impact of early versus late vasopressor initiation on clinical outcomes.

Methods: A systematic review and meta-analysis were conducted by searching PubMed, Embase, and Cochrane databases.

Outcomes of Acute Limb Ischemia at a Large Public Hospital in Brazil: insights before, during and after the COVID-19 pandemic.

Introduction: This study compared outcomes of patients with acute limb ischemia (ALI) before, during, and after the COVID-19 pandemic, hypothesizing that poor outcomes observed during the pandemic have not yet been resolved.

Methods: This retrospective, observational, single-center study analyzed ALI patients from 2019 to 2023.

Results: Over five years, 298 patients underwent surgery for ALI at our hospital: 35 had COVID-19 (COVID Group), 132 tested negative (Non-COVID Group), 71 were treated before the pandemic (Pre-COVID Group), and 60 after (Post-COVID Group).

Prescription Stimulant Dispensing to US Children: 2017-2023.

Objective: To evaluate changes in prescription stimulant dispensing to children aged 5 to 17 years associated with the COVID-19 pandemic and the shortage of immediate-release mixed amphetamine salts (Adderall), which was announced in October 2022.

Methods: We analyzed the 2017 to 2023 IQVIA Longitudinal Prescription Database, which captures 92% of US prescriptions. Using an interrupted time series design, we evaluated level and slope changes in the monthly stimulant-dispensing rate (number of children with stimulant dispensing per 100 000 children) in March 2020 and October 2022.

Family functioning in adolescents and young adults with differences of sex development.

Objective: Family functioning influences various psychosocial outcomes for individuals with pediatric chronic health conditions (e.g., Leeman, J.

Analysis of the protective effect of hydrogen sulfide over time in ischemic rat skin flaps.

Background: Hydrogen sulfide (HS) is a widely studied gasotransmitter, and its protective effect against ischemia-reperfusion damage has been explored in several studies. Therefore, a requirement exists for a comprehensive study about HS effects on ischemia-reperfusion damage in flap surgery. The aim of this study is to examine the effect of hydrogen sulfide by creating ischemia-reperfusion injury in the vascular-stemmed island flap prepared from the rat groin area.

Biomarkers and Social Determinants in atherosclerotic Arterial Diseases: A Scoping Review.

Background: Arterial diseases like coronary artery disease, carotid stenosis, peripheral artery disease, and abdominal aortic aneurysm have high morbidity and mortality, making them key research areas. Their multifactorial nature complicates patient treatment and prevention. Biomarkers offer insights into the biochemical and molecular processes, while social factors also significantly impact patients' health and quality of life.

Non-Occlusive Mesenteric Ischemia in Aortic Surgery: What You Need to Know.

Background: Nonocclusive mesenteric ischemia (NOMI), a subtype of acute mesenteric ischemia, is primarily caused by mesenteric arterial vasoconstriction and decreased vascular resistance, leading to impaired intestinal perfusion.Commonly observed after cardiac surgery, NOMI affects older patients with cardiovascular or systemic diseases, accounting for 20-30% of acute mesenteric ischemia cases with a mortality rate of ∼50%. This review explores NOMI's pathophysiology, clinical implications in aortic dissection, and the unmet needs in diagnosis and management, emphasizing its prognostic significance.

Dysregulation of Mitochondrial Homeostasis in Cardiovascular Diseases.

Mitochondria dysfunction plays a central role in the development of vascular diseases as oxidative stress promotes alterations in mitochondrial morphology and function that contribute to disease progression. Redox imbalances can affect normal cellular processes including mitochondrial biogenesis, electrochemical equilibrium, and the regulation of mitochondrial DNA. In this review, we will discuss these imbalances and, in particular, the potential role of mitochondrial fusion, fission, biogenesis, and mitophagy in the context of vascular diseases and how the dysregulation of normal function might contribute to disease progression.

TGFBI regulates the TGF-β pathway to affect the malignant progression and cisplatin sensitivity in diffuse large B-cell lymphoma.

Despite the association between aberrant TGFBI expression and tumors development found in various cancer types, the role of TGFBI in diffuse large B-cell lymphoma (DLBCL) progression is not clear. This study attempted to reveal how TGFBI impacts malignant progression and cisplatin sensitivity in DLBCL. Bioinformatics and qRT-PCR were used to analyze expression of TGFBI.

Unraveling complexity and leveraging opportunities in uncommon breast cancer subtypes.

Special histologic subtypes of breast cancer (BC) exhibit unique phenotypes and molecular profiles with diagnostic and therapeutic implications, often differing in behavior and clinical trajectory from common BC forms. Novel methodologies, such as artificial intelligence may improve classification. Genetic predisposition plays roles in a subset of cases.

Effects of Exosome miR-494 on Proliferation, Migration, and Invasion of Trophoblastic Cells by Regulating the PTEN/PI3K/Akt Pathway.

Objective: To investigate the effects of the exosomal miR-494 targeting phospholipinositol 3-kinase (PI3K)/protein kinase B (AKT)/rapamycin target protein (mTOR) pathway on proliferation, migration, and invasion of trophoblast cells.

Methods: Decidual macrophages were randomly divided into control group, mimic NC group, miR-494 mimic group, inhibitor NC group, and miR-494 inhibitor group. Each group was transfected with corresponding miR-494 mimic NC, miR-494 mimic, and inhibitor NC and miR-494 inhibitor, while the cells of control group were only replaced with fresh medium.

A Challenging Case of Myeloid Sarcoma Misdiagnosed as High-Grade B-Cell Lymphoma.

A 46-year-old female presented with back pain associated with progressive bilateral lower extremity weakness and paresthesia. Imaging studies revealed a retroperitoneal mass with severe spinal compression. Histological sections showed blastoid cells with large nuclei, irregular membranes, fine chromatin, and prominent nucleoli.