Article
Public, Environmental & Occupational Health
Amanda L. Roy, Ashley R. Isaia, Andrea L. DaViera, Yochai Eisenberg, Chris D. Poulos
Summary: This study introduces a novel method that links individual GPS coordinates with locations of environmental characteristics to improve the measurement accuracy of environmental exposures. The research found that using GPS-based indices revealed stronger correlations with violent crimes and youths' psychological functioning.
AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY
(2021)
Article
Clinical Neurology
Marta Fernandes, Aidan Cardall, Jin Jing, Wendong Ge, Lidia M. V. R. Moura, Claire Jacobs, Christopher McGraw, Sahar F. Zafar, M. Brandon Westover
Summary: The automated EHR phenotyping (AEP) model accurately identifies patients with epilepsy, enabling large-scale epilepsy research using EHR databases.
Article
Ecology
Jules E. Farquhar, Arman Pili, Wyn Russell
Summary: This study examines the geographical segregation and climatic niches of different color morphs of the Lace monitor in Australia. The results show a clinal transition in the occurrence of color morphs, with the Bell's morph being more prevalent in inland areas and the Lace morph being rare or absent in coastal regions. The realized climatic niches analysis reveals that the Bell's morph occupies areas that are more arid and experience a broader range of thermal extremes compared to the Lace morph.
JOURNAL OF BIOGEOGRAPHY
(2023)
Article
Business
Avinash Kumar, Shibashish Chakraborty, Pradip Kumar Bala
Summary: In recent years, the proliferation of grocery mobile apps has accelerated due to increasing acceptance of mobile grocery shopping. Customer satisfaction is crucial for these apps in a highly competitive market, and online reviews provide valuable information for analyzing it. This study uses Latent Dirichlet Analysis (LDA) to analyze online customer reviews and identify determinants of satisfaction. Dominance analysis and correspondence analysis were conducted to understand the importance and differentiation of these determinants. The results will help business managers of grocery mobile apps make informed decisions on customer satisfaction management.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Oncology
Limor Appelbaum, Jose P. Cambronero, Jennifer P. Stevens, Steven Horng, Karla Pollick, George Silva, Sebastien Haneuse, Gail Piatkowski, Nordine Benhaga, Stacey Duey, Mary A. Stevenson, Harvey Mamon, Irving D. Kaplan, Martin C. Rinard
Summary: This study utilized electronic health record databases and machine learning models to successfully identify individuals at high risk of pancreatic ductal adenocarcinoma (PDAC). The LR model performed the best, able to identify high-risk patients 365 days before diagnosis. Risk stratification revealed a significantly higher cancer prevalence in the high-risk group compared to the entire dataset.
EUROPEAN JOURNAL OF CANCER
(2021)
Article
Multidisciplinary Sciences
Sandra Guauque-Olarte, Laura Cifuentes-C, Cristian Fong
Summary: This study utilized text mining to extract relevant clinical information and identify oral manifestations in patients with COVID-19. The most common oral manifestations were xerostomia and mouth pain or swelling. These findings are significant for reducing the risk of infection between dentists and patients.
SCIENTIFIC REPORTS
(2023)
Article
Psychiatry
George Karystianis, Armita Adily, Peter W. Schofield, Handan Wand, Wilson Lukmanjaya, Iain Buchan, Goran Nenadic, Tony Butler
Summary: In Australia, domestic violence reports mostly rely on data from various sources such as the police, courts, hospitals, and surveys. However, there are information gaps regarding victim injuries, mental health status, and types of abuse. This study used text mining to analyze police-attended domestic violence event narratives and found valuable insights on mental health, abuse types, and victim injuries. The findings highlight the importance of extracting information from police narratives for addressing domestic violence as a significant public health problem.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Oncology
Tamar Safra, Barliz Waissengrin, Deanna Gerber, Rinat Bernstein-Molho, Geula Klorin, Lina Salman, Dana Josephy, Rakefet Chen-Shtoyerman, Ilan Bruchim, Melissa K. Frey, Bhavana Pothuri, Franco Muggia
Summary: The study evaluated the incidence of breast cancer and overall survival in ovarian cancer patients carrying BRCA1/2 mutations. It found that routine breast surveillance may be sufficient in ovarian cancer survivors, as the incidence of breast cancer after ovarian cancer was low in BRCA1/2 mutation carriers.
GYNECOLOGIC ONCOLOGY
(2021)
Article
Pharmacology & Pharmacy
Mengyu Tao, Fan Sun, Juan Wang, Yujing Wang, Hongrui Zhu, Meiqi Chen, Liyun Liu, Li Liu, Houwen Lin, Xia Wu
Summary: This study establishes patient-derived organoids (PDOs) from epithelial ovarian cancer (EOC) and evaluates their sensitivity to poly ADP-ribose polymerase inhibitors (PARPi). The PDOs recapitulate patient clinical response and demonstrate heterogeneity in drug response. The study also reveals potential mechanisms of resistance and identifies combination strategies to reverse resistance.
PHARMACOLOGICAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Nandita Bhaskhar, Wui Ip, Jonathan H. Chen, Daniel L. Rubin
Summary: This study found that machine learning models trained using audit logs in conjunction with clinical data outperformed models trained using clinical data alone in clinical outcome prediction tasks, and were more robust to temporal distribution shifts in the data.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Article
Oncology
Azam Majidi, Renhua Na, Susan J. Jordan, Anna De Fazio, Penelope M. Webb
Summary: Research on the potential survival benefits of statins in women with ovarian cancer found that the use of lipophilic statins may be associated with reduced mortality, especially among women with hyperlipidaemia. Further investigation in larger cohorts or randomized trials is needed to validate these findings.
INTERNATIONAL JOURNAL OF CANCER
(2021)
Article
Computer Science, Artificial Intelligence
Hans Christian Schmitz, Bernhard Lutz, Dominik Wolff, Dirk Neumann
Summary: Can machine learning help in making profits through trading on corporate disclosures? This study explores this question and provides insights into the profitability of trading strategies based on textual content of corporate disclosures. The results show significant annualized returns and suggest the importance of additional features and neutral market predictions in machine learning models.
DECISION SUPPORT SYSTEMS
(2023)
Article
Oncology
Michael W. Caminear, Brittney S. Harrington, Rahul D. Kamdar, Michael J. Kruhlak, Christina M. Annunziata
Summary: The study found that disulfiram was more effective in reducing the viability of TICs compared to NCTs, affecting NF kappa B signaling, and was more suitable as a therapeutic to prevent EOC relapse.
FRONTIERS IN ONCOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Rayane da Silva Abreu, Deborah Antunes, Aline dos Santos Moreira, Fabio Passetti, Julia Badaro Mendonca, Natassia Silva de Araujo, Tayanne Felippe Sassaro, Anael Viana Pinto Alberto, Nina Carrossini, Priscila Valverde Fernandes, Mayla Abrahim Costa, Ana Carolina Ramos Guimaraes, Wim Maurits Sylvain Degrave, Mariana Caldas Waghabi
Summary: Ovarian cancer is a deadly gynecological tumor, ranking among the seven most common cancers in women due to its difficulty in early detection. This study analyzed aptamers and their potential targets in ovarian cancer cells using computational approaches. Specific aptamers were selected using the Cell-SELEX method, and their potential targets were proposed based on proteomic data analysis. Four specific aptamers for ovarian tumors were identified, and their potential targets were determined through Molecular Docking.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Health Care Sciences & Services
Edoardo Bianchini, Elke Warmerdam, Robbin Romijnders, Klarissa Hanja Stuerner, Ralf Baron, Sebastian Heinzel, Francesco Ernesto Pontieri, Clint Hansen, Walter Maetzler
Summary: Using a smartphone while walking can lead to en bloc turning, increasing the risk of falls. This turning behavior is particularly dangerous for individuals with Parkinson disease and may be used to differentiate individuals with lower-back pain and early Parkinson disease.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2015)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2015)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2016)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2016)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2017)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2017)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2017)
Editorial Material
Pediatrics
Ian Wacogne
ARCHIVES OF DISEASE IN CHILDHOOD-EDUCATION AND PRACTICE EDITION
(2018)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2018)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2018)
Editorial Material
Infectious Diseases
Jackie A. Cassell
SEXUALLY TRANSMITTED INFECTIONS
(2019)
Article
Geriatrics & Gerontology
Richard Hoile, Naji Tabet, Helen Smith, Stephen Bremner, Jackie Cassell, Elizabeth Ford
AGING & MENTAL HEALTH
(2020)
Article
Medicine, General & Internal
Elizabeth Ford, Joanne Sheppard, Seb Oliver, Philip Rooney, Sube Banerjee, Jackie A. Cassell
Summary: The study aimed to identify 'known but unlabelled' dementia patients using data from primary care patient records, achieving higher accuracy with the use of keywords from clinic notes compared to coded data alone.
Article
Psychology, Clinical
Paul Flowers, Gabriele Vojt, Maria Pothoulaki, Fiona Mapp, Melvina Woode Owusu, Jackie A. Cassell, Claudia Estcourt, John Saunders
Summary: This paper describes the process of optimizing self-sampling packs for STIs and BBVs using the BCW approach, and suggests specific intervention functions and behavior change techniques for optimization based on a detailed behavioral analysis and the TDF framework.
BRITISH JOURNAL OF HEALTH PSYCHOLOGY
(2022)
Review
Medicine, General & Internal
Priyamvada Paudyal, Kavian Kulasabanathan, Jackie A. Cassell, Anjum Memon, Padam Simkhada, Sharada Prasad Wasti