Article
Environmental Sciences
Haohu Lu, Dexin Yang, Yu Shi, Kelie Chen, Peiwei Li, Sisi Huang, Dongyu Cui, Yuqin Feng, Tianru Wang, Jun Yang, Xinqiang Zhu, Dajing Xia, Yihua Wu
Summary: This study aims to establish a computational system called Toxicogenomics Scoring System (TGSS) to predict the carcinogenicity of chemicals by coupling chemical-gene interactions with multiple cancer transcriptomic datasets. The system uses gene signatures derived from chemical-gene interaction data to rank genes based on their effects on tumorigenesis. Carcinogenicity scores are then calculated to quantify the correlation between chemical-related gene signatures and ranked gene lists. The performance of TGSS is validated in multiple cancer cohorts.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Review
Endocrinology & Metabolism
C. E. Lam-Chung, D. Cuevas-Ramos
Summary: Despite the challenges in screening for Cushing syndrome, the development and validation of clinical models may help in accurately predicting the presence of the disease, particularly in high-risk populations, and thereby reducing the time to diagnosis.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Review
Chemistry, Analytical
Nikiforos Alygizakis, Francois Lestremau, Pablo Gago-Ferrero, Ruben Gil-Solsona, Katarzyna Arturi, Juliane Hollender, Emma L. Schymanski, Valeria Dulio, Jaroslav Slobodnik, Nikolaos S. Thomaidis
Summary: Non-target screening (NTS) methods are increasingly popular for searching a growing number of chemicals. This study provides evidence for communicating the confidence of NTS identification and develops a machine learning approach for reliable classification. The model efficiently excludes substances with insufficient evidence and identifies the relevance of different parameters for identification. A harmonized IP-based system is proposed, improving reporting precision and reproducibility while being suitable for automation.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Pharmacology & Pharmacy
Jee Yun Kim, Kyun Young Kim, Jeong Yee, Hye Sun Gwak
Summary: This study aimed to construct a risk scoring system for vancomycin-associated acute kidney injury (AKI). A retrospective review of medical records was conducted and potential risk factors were identified. Machine learning methods were used to predict the occurrence of AKI. The developed scoring system showed good predictive performance and can be applied in clinical settings where multiple nephrotoxic agents are used with vancomycin therapy.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiu Liu, Hang Zhou, Xinzhi Xu, Ying Li, Ruixia Hong, Kaifeng Huang, Hao Shi, Fang Li
Summary: This study aimed to construct a biparametric ultrasound (BU) scoring system for the risk assessment of prostate cancer (PCa) and to provide an option for the detection of clinically significant PCa. The results showed that the BU scoring system had similar efficacy and value compared to multiparametric magnetic resonance imaging (mpMRI) in clinical practice.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiu Liu, Hang Zhou, Xinzhi Xu, Ying Li, Ruixia Hong, Kaifeng Huang, Hao Shi, Fang Li
Summary: A biparametric ultrasound scoring system was constructed for risk assessment and detection of clinically significant prostate cancer (csPCa). The system showed efficacy and value for csPCa diagnosis compared to multiparametric magnetic resonance imaging (mpMRI).
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Multidisciplinary Sciences
Xiang Zhou, Su-Mei Cao, Yong-Lin Cai, Xiao Zhang, Shanshan Zhang, Guo-Fei Feng, Yufeng Chen, Qi-Sheng Feng, Yijun Chen, Ellen T. Chang, Zhonghua Liu, Hans-Olov Adami, Jianjun Liu, Weimin Ye, Zhe Zhang, Yi-Xin Zeng, Miao Xu
Summary: The authors developed a comprehensive risk score (CRS) that combines risk effects of EBV and human genetics for NPC risk stratification and found that the odds ratio of developing NPC is higher in the top decile compared to the bottom quintile of CRSs in the validation dataset. When combining CRS with EBV serology tests, the positive prediction value of screening for NPC can be significantly increased.
NATURE COMMUNICATIONS
(2021)
Article
Oncology
Wei-Miao Wu, Kai Gu, Yi-Hui Yang, Ping-Ping Bao, Yang-Ming Gong, Yan Shi, Wang-Hong Xu, Chen Fu
Summary: This study aimed to develop and validate an optimal risk-scoring system for colorectal cancer (CRC) screening. The results indicated the potential of using logistic regression-based scoring systems incorporating fecal immunochemical test (FIT) results in mass screening for CRC.
Article
Medicine, General & Internal
Natthaya Chaomuang, Patcharin Khamnuan, Nipaporn Chuayunan, Acharaporn Duangjai, Surasak Saokaew, Pochamana Phisalprapa
Summary: This study aimed to establish an easy-to-use risk scoring system for predicting the risk of amputation in patients with NF. The system showed moderate power in predicting amputation with excellent calibration and good performance in the validation cohort.
FRONTIERS IN MEDICINE
(2021)
Article
Environmental Sciences
Ludi Zhang, Peng Sun, Dawei Sun, Yanhua Zhou, Lei Han, Hengdong Zhang, Baoli Zhu, Boshen Wang
Summary: This study applied four occupational health risk assessment models to analyze the non-carcinogenic and carcinogenic effects of benzene exposure in the working environment for 1629 employees in 50 factories in Jiangsu Province, China. The highest occupational health hazard of benzene was found in the petroleum processing industry, while the pharmaceutical manufacturing industry had the lowest hazard.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Psychology, Educational
Kara M. Styck, Christopher J. Anthony, Lia E. Sandilos, James C. DiPerna
Summary: The study found significant rater effects in CLASS scores, but adjusting for these effects did not improve the relationship between CLASS scores and child outcomes.
Article
Chemistry, Medicinal
Hui Zhu, Jincai Yang, Niu Huang
Summary: This study investigates the scoring functions used in structure-based virtual screening, finding that machine-learning scoring functions (MLSFs) have unsatisfactory generalization capacity. By combining target-specific patterns with features shared among similar compounds, better performance can be achieved. Therefore, it is recommended to assess the generalization ability of MLSFs using the Pfam-cluster approach and to be cautious with the features learned by MLSFs.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2022)
Article
Environmental Sciences
Krishnamoorthi Vimalkumar, Murugasamy Mayilsamy, Elayaraja Arun, Balasubramanian Gobinath, Saravanan Prasanth, Patil Nishikant Nikhil, Selvaraj Krishna-Kumar, Sampath Srimurali, Martin Mkandawire, Ramaswamy Babu-Rajendran
Summary: Community/industrial wastewater is a major source of anthropogenic chemicals and its treatment is a challenging task for many countries. Emerging contaminants are widely present in the environment and have health effects on non-target organisms. Monitoring of these contaminants is crucial for understanding their status in aquatic environments.
Article
Endocrinology & Metabolism
Seda Grigoryan, Winnie Nhan, Lei Zhang, Caitlin Urban, Lili Zhao, Adina F. Turcu
Summary: This study aimed to assess the rates and patterns of PPGL screening among eligible patients. The study found that roughly half of patients with adrenal nodules and hypertension were screened for PPGL, but patients with treatment-resistant or early-onset hypertension were rarely screened.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Environmental Sciences
Miao Cao, Jingpu Fan, Changsheng Guo, Miao Chen, Jiapei Lv, Wenjun Sun, Beidou Xi, Jian Xu
Summary: In this study, LC-QTOF-MS and GC-QTOF-MS were used to characterize the occurrence of contaminants of emerging concerns (CECs) in the Yellow River Estuary (YRE) surface water. A total of 295 and 315 chemicals were identified by LC-QTOF-MS and GC-QTOF-MS, respectively. The study identified 81 priority control pollutants in the surface water of YRE based on toxicological priority index (ToxPi).
ENVIRONMENT INTERNATIONAL
(2023)
Article
Gastroenterology & Hepatology
Shirley Cohen-Mekelburg, Tony Van, Jeffrey A. Berinstein, Xianshi Yu, Deena Kelly Costa, Beth I. Wallace, Sameer Saini, Andrew J. Admon, Peter D. R. Higgins, Ji Zhu, Akbar K. Waljee
Summary: This study examined the association between facility characteristics and the adoption of ustekinumab for inflammatory bowel disease. The results showed that ustekinumab adoption increased over time and was higher in urban facilities with more teamwork. Early adopters were more likely to be high-volume facilities. These findings suggest the importance of targeted dissemination strategies to improve medication uptake and enhance inflammatory bowel disease care.
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Medicine, Research & Experimental
Beth I. Wallace, Hui-Ju Tsai, Paul Lin, Kristian Aasbjerg, Ann Chen Wu, Yi-Fen Tsai, Christian Torp-Pedersen, Akbar K. Waljee, Tsung-Chieh Yao
Summary: This study investigated and compared the prescription patterns of oral corticosteroids (OCS) in the general populations of the United States, Taiwan, and Denmark from 2009 to 2018. The findings showed a steady increase in OCS use, particularly short-term prescribing to healthy adults, in all three countries.
CTS-CLINICAL AND TRANSLATIONAL SCIENCE
(2023)
Article
Biology
Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Zhenke Wu, Anthony K. Ngugi, Srijan Sen, Jianli Wang, Stephen Wong, Jessica A. Baker, Eileen M. Weinheimer-Haus, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Akbar K. Waljee, Amina Abubakar, Zul Merali
Summary: This study aims to predict the near-term risk of major depressive episodes and future mood among healthcare workers in Kenya by identifying and validating weighted sensor stream signatures. The study will use a mobile application platform and advanced data science analytic approaches to identify predictors of mental health disorders. The findings could inform precise interventions to mitigate depression and ensure a healthy, resilient healthcare workforce for sustainable economic growth in Kenya, East Africa, and neighboring countries in sub-Saharan Africa. This protocol paper provides an opportunity to share the planned study implementation methods and approaches.
BMC RESEARCH NOTES
(2023)
Meeting Abstract
Gastroenterology & Hepatology
Mohamed Noureldin, Joel H. Rubenstein, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Mohamed Noureldin, Joel H. Rubenstein, Jeffrey Berinstein, Shirley Cohen-Mekelburg, Sameer D. Saini, Peter D. Higgins, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Codey Pham, Anthony Xu, Shubhada Sansgiry, Akbar K. Waljee, Jason K. Hou
Meeting Abstract
Gastroenterology & Hepatology
Andrew J. Read, Akbar K. Waljee, Sameer D. Saini
Meeting Abstract
Gastroenterology & Hepatology
Joel H. Rubenstein, Simon Fontaine, Peter W. Macdonald, Jennifer Burns, Richard Evans, Maria Arasim, Joy W. Chang, Elizabeth Firsht, Sarah Hawley, Sameer D. Saini, Lauren P. Wallner, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Kerry A. Ryan, Jason K. Hou, Jessica A. Baker, Christopher Krenz, Raymond De Vries, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Jessica L. Sheehan, LaVana Greene-Higgs, Jeffrey Berinstein, John Piette, Kenneth Resnicow, Akbar K. Waljee, Peter D. Higgins, Shirley Cohen-Mekelburg
Meeting Abstract
Gastroenterology & Hepatology
Shirley Cohen-Mekelburg, Tony Van, Jeffrey Berinstein, Xianshi Yu, Deena Costa, Beth I. Wallace, Sameer D. Saini, Andrew J. Admon, Peter D. Higgins, Ji Zhu, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Shirley Cohen-Mekelburg, Ariel Jordan, Brooke Kenney, Helen Burgess, Joy W. Chang, Hsou Mei Hu, Elliot B. Tapper, Kenneth Langa, Deborah Levine, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
LaVana Greene-Higgs, Ariel Jordan, Jessica L. Sheehan, Jeffrey Berinstein, Andrew J. Admon, Akbar K. Waljee, Megan Riehl, John Piette, Kenneth Resnicow, Peter D. Higgins, Shirley Cohen-Mekelburg
Meeting Abstract
Gastroenterology & Hepatology
Jason K. Hou, Codey Pham, Shubhada Sansgiry, Varsha Modi, Akbar K. Waljee
Meeting Abstract
Gastroenterology & Hepatology
Jeffrey Berinstein, Neelakanta A. Atkuri, Elliot Berinstein, Jessica L. Sheehan, Laura Johnson, Shirley Cohen-Mekelburg, Hui Jiang, Nicole Walkim, Kelley M. Kidwell, Inbal Billie Nahum-Shani, Robert J. Battat, Akbar K. Waljee, Peter D. Higgins