Results 111 to 120 of about 2,942,669 (315)

Predicting surgical outcomes of acute diffuse peritonitis: Updated risk models based on real‐world clinical data

Annals of Gastroenterological Surgery
Aim The existing predictive risk models for the surgical outcome of acute diffused peritonitis (ADP) need renovation by adding relevant variables such as ADP's definition or causative etiology to pursue outstanding data collection reflecting the real ...
Naoya Sato, Shinya Hirakawa, Shigeru Marubashi, Hisateru Tachimori, Taro Oshikiri, Hiroaki Miyata, Yoshihiro Kakeji, Yuko Kitagawa   +7 more
doaj   +1 more source

Occupations at Risk and Organizational Well-Being: An Empirical Test of a Job Insecurity Integrated Model [PDF]

, 2017
Antonio Chirumbolo, Flavio Urbini, Antonino Callea, Alessandro Lo Presti, Alessandra Talamo   +4 more
openalex   +1 more source

Derivation and validation of a clinical prediction model for risks of venous thromboembolism in diabetic and general populations

, 2021
Cheng‐Chieh Lin, Ching‐Chu Chen, Chia‐Ing Li, Chiu-Shong Liu, Wen‐Yuan Lin, Chih‐Hsueh Lin, Shing-Yu Yang, Tsai‐Chung Li   +7 more
openalex   +1 more source

Identification and quantitative analysis of flash flood risks for small catchments in China: a new operational modelling approach [PDF]

, 2022
Changjun Liu, Qiang Ma, Xiaolei Zhang, Changzhi Li, Qing Li, Philippe Gourbesville, Liang Guo, Liuqian Ding   +7 more
openalex   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction

Frontiers in Immunology
BackgroundPreeclampsia, a hypertensive disorder during pregnancy affecting 2-8% of pregnancies globally, remains a leading cause of maternal and fetal morbidity.
Jingjing Chen, Dan Zhang, Chengxiu Zhu, Lin Lin, Kejun Ye, Ying Hua, Mengjia Peng   +6 more
doaj   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

Laplace Transformation of the Ruin Time for a Risk Model with a Parisian Implementation Delay

Mathematics
In this paper, we apply the concept of the Parisian implementation delay to dividend payments and assume that the claim amount paid Zi by the insurance company for the ith time follows an exponential distribution.
Tao Sun, Xinqiu Zhang
doaj   +1 more source

Developing a simple and practical decision model to predict the risk of incident type 2 diabetes among the general population: The Di@bet.es Study

, 2022
Sergio Martínez‐Hervás, María Morales‐Suárez‐Varela, Irene Andrés‐Blasco, Francisco Lara-Hernández, Isabel Peraita‐Costa, José T. Real, Ana-Bárbara García-García, Felipe Javier Chaves   +7 more
openalex   +2 more sources