Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model by Fuyu Guo, Shiwei Sun, Xiaoqian Deng, Yue Wang, Wei Yao, Peng Yue, Shaoduo Wu, Junrong Yan, Junrong Yan, Junrong Yan, Xiaojun Zhang, Xiaojun Zhang, Xiaojun Zhang, Yangang Zhang, Yangang Zhang, Yangang Zhang

“…The objective is to provide guidance for developing scientifically individualized treatment plans, assessing prognosis, and planning preoperative interventions.MethodsA retrospective analysis was conducted on clinical and imaging data from 270 patients with BC confirmed by surgical pathology at the Third Hospital of Shanxi Medical University between November 2022 and April 2024. …”
Get full text

Multidisciplinary collaboration and nursing practice of bone marrow suppression combined with catheter-related bloodstream infection of implanted port in a patient undergoing chemo... by WEI Ya (魏雅), LI Siqin (李思琴), LIU Yeqing (刘叶清), YUAN Wei (袁维), PENG Wenjie (彭文洁), FU Jianghong (付江红)

“…This article summarized the multidisciplinary collaboration and nursing practice of bone marrow suppression combined with catheter-related bloodstream infection (CRBSI) of implanted port in a patient undergoing chemotherapy for lung cancer. A retrospective analysis was conducted on the clinical data of a lung cancer patient who developed CRBSI after chemotherapy-induced myelosuppression. …”
Get full text

A systematic review on the assessment of pregnancy-specific psychological trauma during pregnancy: A call to action by Soudabeh Givrad, MD, Kathryn M. Wall, Lindsey Wallace Goldman, Jin Young Shin, Eloise H. Novak, Amanda Lowell, Francesca Penner, Michèle J. Day, Lea Papa, Drew Wright, Helena J.V. Rutherford

“…To build a knowledge base to develop future measure(s) of PSPT, we conducted a systematic review to understand how and when PSPT has been measured during pregnancy. …”
Get full text

Identification of novel pQTL‐SNPs associated with lung adenocarcinoma risk: A multi‐stage study by Yutong Wu, Huiwen Xu, Liping Mao, Rongrong Zhao, Junfeng Chu, Lili Huang, Wendi Zhang, Yiran Liu, Qiong Chen, Xiaobo Tao, Siqi Li, Shenxuan Zhou, Anhui Ning, Zhenyu Li, Tian Tian, Lei Zhang, Jiahua Cui, Guangyu Tian, Minjie Chu

“…Methods “Blood +” high depth blood proteomics analysis was performed on plasma from female LUAD patients and female healthy controls, and combined with proteomics data from tumors and adjacent non‐tumor tissues of female LUAD patients to screen proteins uniformly expressed in plasma and tissues. pQTL‐SNPs were then screened through multiple databases and subjected to multilevel screening. …”
Get full text

Automatic diagnosis of agromyzid leafminer damage levels using leaf images captured by AR glasses by Zhongru Ye, Yongjian Liu, Fuyu Ye, Hang Li, Ju Luo, Jianyang Guo, Zelin Feng, Chen Hong, Lingyi Li, Shuhua Liu, Baojun Yang, Wanxue Liu, Qing Yao

“…Traditionally, surveyors estimate the damage by visually comparing the proportion of damaged to intact leaf area, a method that lacks objectivity, precision, and reliable data traceability. To address these issues, an advanced survey system that combines augmented reality (AR) glasses with a camera and an artificial intelligence (AI) algorithm was developed in this study to objectively and accurately assess leafminer damage in the field. …”
Get full text

The Ethical Significance of Brain-Computer Interfaces as Enablers of Communication by Toma Gruica

“…The first treats them as medical devices warranting standard risk-benefit analysis, assessing safety, efficacy, and clinical outcomes.[2] The second framework situates BCIs within the emerging field of neuroethics, emphasizing concerns about privacy, cognitive liberty, data security, and the potential for manipulation.[3] Although previous work has already emphasized the ethical importance of BCIs in restoring communicative capacities, this paper develops the claim further by foregrounding what may be termed the ethical function of BCIs.[4] Their significance lies not just in enhancing particular interactions or reducing barriers, but in re-establishing the very possibility of communication, through which individuals assert their will, can participate in community, and be recognized as interlocutors. …”
Get full text

Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional th... by Haihong Zhu, Xuan Luo, Zhixian Sun, Yonglin Hua, Yuxin Xiao, Huilong Li, Xiaowu Ma, Wenliang Tan, Zhiqin Xie, Ziyu Zhang, Chenwei Tang, Hongkai Zhuang, Weikai Xu, Yajin Chen, Changzhen Shang

“…However, biomarkers for predicting the response to LPI therapy remain to be further explored. We aimed to develop a radiomics model to noninvasively predict the efficacy of LPI therapy.Methods Clinical data of patients with HCC receiving LPI therapy were collected in our institution. …”
Get full text

The impact of circWWC3 on neoadjuvant therapy for triple-negative breast cancer and the construction of a nomogram for predicting pathological complete response after neoadjuvant t... by Haoqi Wang, Haoqi Wang, Hongbo Liu, Hongbo Liu, Shan Gao, Lijia Wang, Zihao Bai, Yi Zhang, Peijin Zhang, Fei Liu, Fei Liu, Cuizhi Geng, Cuizhi Geng

“…A nomogram for predicting pCR in TNBC was developed and subsequently validated.ResultsFrom January 2020 to December 2023, a total of 205 patients were included in the final analysis. …”
Get full text

Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…The validated nomogram, developed using longitudinal data from a substantial elderly cohort, incorporates CMI to enable preclinical risk stratification, supporting timely preventive strategies.…”
Get full text

Opportunities and practices supporting responsive health care for forced migrants: lessons from transnational practice and a mixed-methods systematic review by Amy Robinson, Protus Musotsi, Ziaur Rahman A Khan, Laura Nellums, Bayan Faiq, Kofi Broadhurst, Gisela Renolds, Michael Pritchard, Andrew Smith

“…These findings were pooled with the textual summaries of qualitative findings and examined and categorised through a framework synthesis approach to data analysis. We conducted a thematic synthesis of intervention and practice designs, in what we saw as their critical features as they related to aspects of access. …”
Get full text

How do individuals with mental health disorder and spinal cord injury gain access to participate in voluntary sport groups in Switzerland? by Florence Epiney, Siegfried Nagel, Christopher Klenk

“…Interviews were conducted during spring 2024 in (Swiss-)German or French. Data were analyzed using thematic analysis with an inductive and deductive approach to be able to identify themes and codes (Braun & Clarke, 2022). …”
Get full text

Acceptability of a Web-Based Health App (PortfolioDiet.app) to Translate a Nutrition Therapy for Cardiovascular Disease in High-Risk Adults: Mixed Methods Randomized Ancillary Pilo... by Meaghan E Kavanagh, Laura Chiavaroli, Selina M Quibrantar, Gabrielle Viscardi, Kimberly Ramboanga, Natalie Amlin, Melanie Paquette, Sandhya Sahye-Pudaruth, Darshna Patel, Shannan M Grant, Andrea J Glenn, Sabrina Ayoub-Charette, Andreea Zurbau, Robert G Josse, Vasanti S Malik, Cyril W C Kendall, David J A Jenkins, John L Sievenpiper

“…To enhance implementation of the Portfolio Diet, we developed the PortfolioDiet.app, an automated, web-based, multicomponent, patient-facing health app that was developed with psychological theory. …”
Get full text

Mageleie til voksne intensivpasienter med akutt lungesviktsyndrom under og etter covid-19 pandemien: Intensivsykepleieres erfaring by Andreas Urstad, Maren Engebretsen, Simen Steindal, Brith Andresen

“…Metode: Et eksplorerende kvalitativt design ble valgt. Data ble samlet via individuelle semistrukturerte intervju av seks intensivsykepleiere ved lokalsykehus. …”
Get full text

Novel post-translational modification learning signature reveals B4GALT2 as an immune exclusion regulator in lung adenocarcinoma by Ge Zhang, Zhenfa Zhang, Lianmin Zhang, Guangyao Zhou, Pengpeng Zhang, Dingli Wang, Shuai Jiang

“…While post-translational modifications are known to influence tumor progression, their prognostic value in LUAD remains largely unexplored.Methods We developed a post-translational modification learning signature (PTMLS) using machine learning techniques, analyzing data from 1231 LUAD patients across seven global cohorts. …”
Get full text

Establishment and validation a relapse prediction model for bipolar disorder by Xiaoqian Zhang, Xiaoqian Zhang, Xiaoqian Zhang, Xiaoqian Zhang, Minghao Wu, Daojin Wang, Long Wang, Long Wang, Long Wang, Wen Xie, Wen Xie, Wen Xie

“…Recurrence risk factors for BD were selected using univariate and binary logistic regression analyses based on the clinical data of the patients and other pertinent information. …”
Get full text

Culturally Adapted Guided Internet-Based Cognitive Behavioral Therapy for Hong Kong People With Depressive Symptoms: Randomized Controlled Trial by Jia-Yan Pan, Jonas Rafi

“…These scales were administered at preintervention, postintervention, and at 3-month and 6-month follow-up assessments. Data analysis was conducted using linear mixed effects modeling, adhering to the intent-to-treat principle. …”
Get full text

Construction of human activity‐based phosphorylation networks by Robert H Newman, Jianfei Hu, Hee‐Sool Rho, Zhi Xie, Crystal Woodard, John Neiswinger, Christopher Cooper, Matthew Shirley, Hillary M Clark, Shaohui Hu, Woochang Hwang, Jun Seop Jeong, George Wu, Jimmy Lin, Xinxin Gao, Qiang Ni, Renu Goel, Shuli Xia, Hongkai Ji, Kevin N Dalby, Morris J Birnbaum, Philip A Cole, Stefan Knapp, Alexey G Ryazanov, Donald J Zack, Seth Blackshaw, Tony Pawson, Anne‐Claude Gingras, Stephen Desiderio, Akhilesh Pandey, Benjamin E Turk, Jin Zhang, Heng Zhu, Jiang Qian

“…Here, we developed a new strategy, called CEASAR, based on functional protein microarrays and bioinformatics to experimentally identify substrates for 289 unique kinases, resulting in 3656 high‐quality KSRs. …”
Get full text

Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research by Philipp Goebl, Jed Wingrove, Omar Abdelmannan, Barbara Brito Vega, Jonathan Stutters, Silvia Da Graca Ramos, Owain Kenway, Thomas Rossor, Evangeline Wassmer, Douglas L. Arnold, D. Louis Collins, Cheryl Hemingway, Sridar Narayanan, Jeremy Chataway, Declan Chard, Juan Eugenio Iglesias, Frederik Barkhof, Geoff J. M. Parker, Neil P. Oxtoby, Yael Hacohen, Alan Thompson, Daniel C. Alexander, Olga Ciccarelli, Arman Eshaghi

“…MindGlide uniquely enables quantitative analysis of archival single-contrast MRIs, unlocking insights from untapped hospital datasets.…”
Get full text

Metabolic modeling elucidates phenformin and atpenin A5 as broad-spectrum antiviral drugs against RNA viruses by Alina Renz, Mirjam Hohner, Raphaël Jami, Maximilian Breitenbach, Jonathan Josephs-Spaulding, Johanna Dürrwald, Lena Best, Victoria Dulière, Chloé Mialon, Stefanie M. Bader, Georgios Marinos, Nantia Leonidou, Filipe Cabreiro, Marc Pellegrini, Marcel Doerflinger, Manuel Rosa-Calatrava, Andrés Pizzorno, Andreas Dräger, Michael Schindler, Christoph Kaleta

“…Abstract The SARS-CoV-2 pandemic has reemphasized the urgent need for broad-spectrum antiviral therapies. We developed a computational workflow using scRNA-Seq data to assess cellular metabolism during viral infection. …”
Get full text

Predictive and prognostic features of early and locally advanced <i>PIK3CA</i>-mutated luminal HER2-negative breast cancer by A. I. Stukan, T. Yu. Semiglazova, S. I. Kutukova, V. A. Porkhanov, V. N. Bodnya, E. N. Imyanitov, V. V. Antipova, Z. K. Khachmamuk, O. Yu. Chukhray, S. D. Maksimenko

“…Background. Data on the prognostic role of the PIK3CA mutation in hormone receptor-positive (HR+) HER2-negative (HER2–) breast cancer (BC) are contradictory; nevertheless, there are indications of its negative predictive and prognostic significance. …”
Get full text