Protocol of a parallel group Randomized Control Trial (RCT) for Mobile-assisted Medication Adherence Support (Ma-MAS) intervention among Tuberculosis patients. by Zekariyas Sahile, Lua Perimal-Lewis, Paul Arbon, Anthony John Maeder

“…A total of 186 participants (93 per group) will be individually randomized into one of the two groups with a 1:1 allocation ratio by a computer-generated algorithm. Group one (intervention) participants will receive daily SMS texts and weekly phone calls concerning their daily medication intake and medication refill clinic visit reminder and group two (control) participants will receive the same routine standard treatment care as the intervention group, but no SMS text and phone calls. …”
Get full text

Co-benefits of nature-based solutions: A health impact assessment of the Barcelona Green Corridor (Eixos Verds) plan by Tamara Iungman, Sergi Ventura Caballé, Ricard Segura-Barrero, Marta Cirach, Natalie Mueller, Carolyn Daher, Gara Villalba, Evelise Pereira Barboza, Mark Nieuwenhuijsen

“…Preventable mortality at the census tract level for adult residents was estimated, and to address uncertainties, we performed Monte Carlo iterations. We computed the percentage increase in GS (land use) and tree cover and converted them into Normalized Difference Vegetation Index (NDVI) to conduct the HIA, employing a Generalized Additive Model (GAM). …”
Get full text

An integrative analysis of ASCL1 in breast cancer and inhibition of ASCL1 increases paclitaxel sensitivity by activating ferroptosis via the CREB1/GPX4 axis by Xiaolu Yang, Xiaolu Yang, Yilun Li, Yilun Li, Yaqi Peng, Yuan Chang, Binglu He, Binglu He, Tianqi Zhang, Tianqi Zhang, Shiyu Zhang, Cuizhi Geng, Yunjiang Liu, Xiaolong Li, Jun Hao, Li Ma

“…The TIP database was employed to investigate the connection between ASCL1 expression and immunoreactivity scores, and six computational approaches were applied to evaluate immune cell infiltration. …”
Get full text

High-performance CT features supporting accurate pre-operative tumor staging in colon cancer by Jianhua Yuan, Cangzheng Jin, Jianrong Si, Baobao Liu, Xiaohan Si, Jianzhi Chen

“…Background and aimsAccurate pre-treatment tumor staging is essential for treatment decision-making. Multi-slice spiral computed tomography (CT) is currently the standard method for pre-operative clinical tumor staging, but accurately applying the CT findings in tumor staging remains a challenge due to the poor pathological understanding of the CT signs. …”
Get full text

Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Effect sizes, 95% confidence intervals (CIs), and prediction intervals were computed for each meta-analysis. The methodological quality of the SRMAs was evaluated using the Measurement Tool to Assess Systematic Reviews 2, and the quality of evidence was assessed through the Grading of Recommendations, Assessment, Development, and Evaluation criteria. …”
Get full text

Development of an eHealth Intervention Including Self-Management for Reducing Sedentary Time in the Transition to Retirement: Participatory Design Study by Lisa Hultman, Caroline Eklund, Petra von Heideken Wågert, Anne Söderlund, Maria Lindén, Magnus L Elfström

“…ResultsParticipants expressed a desire for an easy-to-use eHealth intervention, which could be accessed from mobile phones, tablets, and computers, and could be individualized to the user. …”
Get full text

Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

“…Methods Data from the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) were subjected to analysis to compute immune and stromal scores utilizing the ESTIMATE algorithm. …”
Get full text

Study of a Deep Learning Reconstruction Algorithm for Displaying Small- and Medium-sized Blood Vessels in Upper Abdominal Energy Spectrum CT by Qin WANG, Weijie YAN, Yuan YUAN, Hehan TANG, Liping DENG

“…Objective: To investigate the effectiveness and clinical value of using a deep learning reconstruction algorithm (DLIR) to display small blood vessels in upper abdominal computed tomography (CT) with an enhanced energy spectrum. …”
Get full text

An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs) by Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu

“…Unfortunately, these patients are not included in low dose computer tomography (LDCT) screening programs and are not actually considered in early diagnosis. …”
Get full text

Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors by Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao

“…Objectives: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. …”
Get full text

Effect of Melatonin as an Antioxidant Drug to Reverse Hepatic Steatosis: Experimental Model by Blanca Martínez Soriano, Antonio Güemes, Guillermo Pola, Azucena Gonzalo, Pilar Palacios Gasós, Ana C. Navarro, Roberto Martínez-Beamonte, Jesús Osada, José J. García

“…We analyze the parameters of oxidative stress: malondialdehyde (MDA), 4-hydroxyalkenals (4-HDA), and carbonyls, degree of fat infiltration (analyzed by direct vision by a pathologist and by means of a computer program of image treatment), and serological parameters of lipid metabolism and hepatic damage. …”
Get full text

Neonatal near Miss and Its Predictors among Neonates Delivered at Debretabor General Hospital, Northern Ethiopia; A Retrospective Analysis by Habtamu Abie Tassew, Fisseha Yetwale Kassie, Muhabaw Shumye Mihret

“…Both crude and adjusted odds ratios with the corresponding 95% CI were computed. The level of significance has been claimed based on the adjusted odds ratio with 95% CI and its p value of ≤0.05. …”
Get full text

Determination of Palatal Soft Tissue Thickness and Safe Zone for Palatal Soft Tissue Harvest Using CBCT: A Retrospective Study by Hanan Aldhanhani, Bhavna Jha Kukreja, Sesha Reddy, Jovita D’souza, Hossam Abdelmagyd

“…The aim of the present study is to comprehensively analyze the palatal mucosal thickness and indicate the safety zone for palatal soft tissue harvesting using cone beam computed tomography (CBCT). Material and Methods. As this was a retrospective analysis of cases previously reported to the hospital, written consent was not acquired. …”
Get full text

Unveiling the signal valve specifically tuning the TGF-β1 suppression of osteogenesis: mediation through a SMAD1-SMAD2 complex by Ying-Wen Wang, Ching-Wei Luo

“…Mouse models of chronic and acute bone loss followed by biochemical assays and micro-computed tomography demonstrated the bone effects when functionally blocking the critical co-repressor HDAC1. …”
Get full text

Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

“…The choice between the two depends on specific project requirements, including interpretability, computational resources, and data nature.…”
Get full text

Warrick score in rheumatoid-arthritis interstitial lung disease: a promising tool for assessing the extent and progression of lung involvement by Duygu Temiz Karadag, Sevtap Dogan, Neslihan Gokcen, Oznur Sadioglu Cagdas, Ayten Yazici, Ayse Cefle

“…Methods RA-ILD patients underwent consecutive Warrick scoring based on initial high-resolution computed tomography (HRCT) at diagnosis and the first follow-up. …”
Get full text

Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer by Lu Zheng, Lu Zheng, Yanzhu Bian, Yanzhu Bian, Yujing Hu, Congna Tian, Xinchao Zhang, Shuheng Li, Xin Yang, Yanan Qin

“…ObjectiveTo analyse positron emission tomography/ computed tomography (PET/CT) imaging and clinical data from patients with non-small cell lung cancer (NSCLC), to identify characteristics of survival beneficiaries of immune checkpoint inhibitors (ICIs) treatment and to establish a survival prediction model.MethodsA retrospective analysis was conducted on PET/CT imaging and clinical parameters of 155 NSCLC patients who underwent baseline PET/CT examination at the Department of Nuclear Medicine, Hebei General Hospital. …”
Get full text

The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models by Gloria-Edith Boudreault-Morales, Cesar Marquez-Chin, Xilin Liu, José Zariffa

“…HPE model performances were monitored through accuracy and computational efficiency. Evaluation metrics include Mean per Joint Position Error (MPJPE), Floating Point Operations (FLOPs) and frame rates (frames per second). …”
Get full text

Thermal properties and non-bonded interactions in human PMP2 variants: A molecular dynamics study by Prabin Aryal, Jhulan Powrel

“…Many studies on this disease have been conducted, including clinical as well as computational, but no effective medical cure has yet been found. …”
Get full text

Photosynthetic Pigments with Potential for a Photosynthetic Antenna: A DFT Analysis by Jesús Francisco Monzón-Bensojo, Manuel A. Flores-Hidalgo, Diana Barraza-Jiménez

“…Finally, excited-state computations were carried out to acquire UV-Vis spectra of the combinations. …”
Get full text