Results 71 to 80 of about 90,463 (317)

Clinical Impact of Maximum Plasma Concentration of Busulfan in Pediatric Patients Undergoing Allogenic Hematopoietic Stem Cell Transplantation

Clinical Pharmacology &Therapeutics, EarlyView.
Busulfan's narrow therapeutic index and high pharmacokinetic (PK) variability warrant investigation of its exposure–toxicity relationship. We retrospectively analyzed 334 pediatric and young adult patients who underwent allogeneic hematopoietic stem cell transplantation at Seoul National University Children's Hospital between 2009 and 2020 and received
Sungyeun Bae, Jung Yoon Choi, Kyung Taek Hong, Bo Kyung Kim, Hyun Jin Park, Kyung‐Sang Yu, Su‐jin Rhee, Hyoung Jin Kang   +7 more
wiley   +1 more source

Xylose Acetals ‐ a New Class of Sustainable Solvents and Their Application in Enzymatic Polycondensation

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
Novel organic solvents with an unmodified carbohydrate core were synthesised both from D‐xylose and directly from biomass and were successfully used as reaction media for lipase biocatalysts to synthesise aliphatic and aromatic polyesters. Abstract The use of organic solvents in academic research and industry applications is facing increasing ...
Anastasia O. Komarova, Cicely M. Warne, Hugo Pétremand, Laura König‐Mattern, Johannes Stöckelmaier, Chris Oostenbrink, Georg M. Guebitz, Jeremy Luterbacher, Alessandro Pellis   +8 more
wiley   +1 more source

A machine learning model for distinguishing Kawasaki disease from sepsis

Scientific Reports, 2023
KD is an acute systemic vasculitis that most commonly affects children under 5 years old. Sepsis is a systemic inflammatory response syndrome caused by infection.
Chi Li, Yu-chen Liu, De-ran Zhang, Yan-xun Han, Bang-jie Chen, Yun Long, Cheng Wu   +6 more
doaj   +1 more source

Can we predict surgical outcomes: A systematic review and critical appraisal of clinical prediction models in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico, Mandavi Kashyap, Chantelle Q. Y. Lin, Karl M. Klein, Olayinka I. Arimoro, Samuel Wiebe   +5 more
wiley   +1 more source

Development and Validation of a Nomogram for Predicting Overall Survival in Pancreatic NeuroendocrineTumors

Translational Oncology, 2018
BACKGROUND: The objective of current study was to develop and validate a nomogram to predict overall survival in pancreatic neuroendocrine tumors (PNETs).
Dong-liu Miao, Wei Song, Jun Qian, Zhi-gang Zhu, Qiong Wu, Chang-guang Lv, Lei Chen   +6 more
doaj   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Evolution of Fagan's Nomogram; a Commentary

Emergency, 2016
I read with interest your paper entitled "Pre and post-test probabilities and Fagan’s nomogram. I would like to add a note concerning an update on Fagan’s Nomogram.
Abdelrahman Ibrahim Abushouk
doaj  

Personalized Precision in Healthcare Payment Systems: Insights From a Real‐World Cancer Patients Cohort Study

Health Care Science, EarlyView.
We developed an effective prediction model for reasonably high hospitalization costs, using gastric cancer surgery patients as an example. Integrating this assessment into the healthcare payment system based on diagnosis‐related groups is expected to improve the individualization and precision of health insurance fund utilization.
Kan Xue, Hongrui Tian, Qi Wang, Yinkui Wang, Fei Shan, Yansui Yang, Miao Yu, Zhonghu He, Ziyu Li, Jiafu Ji   +9 more
wiley   +1 more source

A Prediction Model for One‐Year Disability Risk Among Community‐Dwelling Older Adults in China: Integrating Physical, Metabolic, and Psychosocial Factors

Health Care Science, EarlyView.
Based on a prospective cohort of 1003 older adults, we developed and validated a practical disability prediction model integrating physical, metabolic, and psychosocial factors (AUC = 0.716), presented via a user‐friendly nomogram for community use. ABSTRACT Background Disability in older adults, characterized by progressive limitations in performing ...
Yanjun Ma, Chaofan Geng, Zhibin Wang, Yiwei Zhao, Lixin Ma, Pengpeng Ye, Leilei Duan, Guoping Peng, Yi Tang   +8 more
wiley   +1 more source

A nomogram based on conventional ultrasound and elastography for diagnosing BI-RADS category 3–5 lesions

BMC Medical Imaging
Objective To develop a nomogram using conventional ultrasound and elastography to offer a more objective and accurate Breast Imaging Reporting and Data System (BI-RADS) classification, and minimize unnecessary biopsies.
Yi Chen, Yongbin Li, Jieyu Zhong, Haiying Zhou, Yanping Chen, Yan Chen, Desheng Sun   +6 more
doaj   +1 more source