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Disruptive multiple cell death pathways of bisphenol-A.
Toxicol Mech Methods
January 2025
Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, India.
Endocrine-disrupting chemicals (EDCs) significantly contribute to health issues by interfering with hormonal functions. Bisphenol A (BPA), a prominent EDC, is extensively utilized as a monomer and plasticizer in producing polycarbonate plastic and epoxy resins, making it one of the highest-demanded chemicals in commercial use. This is the major component used in plastic products, including bottles, containers, storage items, and food serving ware.
View Article and Find Full Text PDFOptimal allocation of antenatal and young child nutrition interventions: an individual-based global burden of disease calibrated microsimulation.
BMC Glob Public Health
January 2025
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Background: Undernutrition remains a global crisis and is a focus of Sustainable Development Goals. While there are multiple known, effective interventions, complex interactions between prevention and treatment and resource constraints can lead to difficulties in allocating funding. Simulation studies that use in silico simulation can help illuminate the interactions between interventions and provide insight into the cost-effectiveness of alternative packages of options.
View Article and Find Full Text PDFMultiChem: predicting chemical properties using multi-view graph attention network.
BioData Min
January 2025
Department of Computer Science, Hanyang University, Seoul, Republic of Korea.
Background: Understanding the molecular properties of chemical compounds is essential for identifying potential candidates or ensuring safety in drug discovery. However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. Recent advances in deep learning approaches have offered deeper insights into molecular structures.
View Article and Find Full Text PDFWill the increase of medical equipment affect medical expenditure? Empirical evidence from a quasi-experiment in China.
BMC Health Serv Res
January 2025
School of Public Policy and Administration, Xi'an Jiaotong University, No. 28 Xianning West Road, Xi'an, Shaanxi, 710049, China.
Background: Many studies have shown that using new technologies and medical equipment contributes to increasing health expenditure. Relatively less empirical studies have measured the impact of medical equipment on rising medical costs in China. Against this backdrop, we aim to examine whether the large-scale medical equipment deployment explains the increase in health expenditure.
View Article and Find Full Text PDFA radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling.
BMC Med Inform Decis Mak
January 2025
Department of Orthopedics, the First Hospital of Jilin University, Changchun, Jilin Province, 130021, China.
Purpose: Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis.
Methods: Patients who underwent multiple drilling were enrolled.
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