Results 151 to 160 of about 72,806 (269)

An interpretable radiomics–deep learning nomogram from whole‐body bone scintigraphy for MDP‐avid bone metastasis prediction in NSCLC

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Whole‐body bone scintigraphy (WBS) remains a widely used first‐line screening tool for bone metastasis, but differentiating MDP‐avid metastatic lesions from benign bone abnormalities in non‐small cell lung cancer (NSCLC) remains challenging. Purpose To develop and externally validate a radiomics and deep learning bone signature (RDB)
Weihao Zhai, Xiaolin Li, Qian Zhou, Taohu Zhou, Yi Wang, Xiuxiu Zhou, Xin'ang Jiang, Ziwei Zhang, Qianxi Jin, Shiyuan Liu, Li Fan   +10 more
wiley   +1 more source

Predicting time to glycemic stability in hospitalized type 2 diabetes patients using insulin resistance indices: a nomogram development and validation study. [PDF]

Endocr Connect
Ke Y, Shi S, Zhou N, Shi H, Zhang M, He Y, Liu H, Liu X, Jiang J, Lv C, Zhao N.   +10 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Prediction of Relapse and Glucocorticoid Dependence in Eosinophilic Granulomatosis With Polyangiitis: Findings From a Large European Cohort

Arthritis &Rheumatology, Volume 78, Issue 8, Page 1710-1717, August 2026.
Objective Eosinophilic granulomatosis with polyangiitis (EGPA) is a small vessel vasculitis characterized by eosinophilia, asthma, and ear, nose, and throat (ENT) involvement. Although glucocorticoids (GCs) are effective in controlling symptoms, relapses and GC dependence are common. The aim of this study was to develop predictive models for vasculitis
Matthias Papo, Pauline Martinot, Renato A. Sinico, Vítor Silvestre‐Teixeira, Nils Venhoff, Maria‐Letizia Urban, Michele Iudici, Juliane Mahrhold, Francesco Locatelli, Giulia Cassone, Franco Schiavon, Benjamin Seeliger, Thomas Neumann, Claudia Feder, Matthieu Groh, Chiara Marvisi, Maxime Samson, Thomas Barba, David Jayne, Arianna Troilo, Jens Thiel, Bernhard Hellmich, Sara Monti, Carlomaurizio Montecucco, Carlo Salvarani, Jean‐Emmanuel Kahn, Bernard Bonnotte, Cécile‐Audrey Durel, Xavier Puéchal, Luc Mouthon, Loïc Guillevin, Giacomo Emmi, Augusto Vaglio, Raphaël Porcher, Benjamin Terrier, on behalf of the French Vasculitis Study Group and the Eosinophilic Granulomatosis with Polyangiitis European Study Group   +35 more
wiley   +1 more source

Beyond traditional survival estimates: conditional survival and individualized prognosis in primary breast lymphoma. [PDF]

Transl Cancer Res
Zhang H, Wu G, Liao C.
europepmc   +1 more source

Nuclear PML expression as a prognostic biomarker in localised clear cell renal cell carcinoma

BJUI Compass, Volume 7, Issue 8, August 2026.
Abstract Objectives To evaluate nuclear promyelocytic leukaemia protein (PML) expression as a prognostic biomarker in localised clear cell renal cell carcinoma (ccRCC), aiming to improve postoperative risk stratification. Materials and methods Two independent retrospective cohorts of patients undergoing surgery for localised ccRCC were analysed: an ...
Sakari Kosola, Teemu D. Laajala, Iida Payne, Antti Kukkula, Lassi Luomala, Tuomas Mirtti, Kalle Mattila, Paula Vainio, Maria Sundvall, Panu M. Jaakkola   +9 more
wiley   +1 more source

Nomograms for manometer constants [PDF]

Biochemical Journal, 1945
openaire   +2 more sources

Machine Learning‐Based Prediction of Poor Outcomes in Intracerebral Hemorrhage: A Systematic Review and Meta‐Analysis

Brain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background Spontaneous intracerebral hemorrhage (ICH) is associated with high risks of mortality and disability, yet early and accurate outcome prediction remains challenging. This study systematically evaluated the performance of machine learning (ML) models in predicting key adverse outcomes (hematoma expansion [HE], poor functional outcome,
Qi Deng, Weitao Cheng, Hui Lu, Nan Fei, Rong He, Yuanyuan Chen, Jianlong Bi, Wenluo Zhang   +7 more
wiley   +1 more source

Autoantibodies combined with systemic inflammation markers for predicting bone metastases in non-small cell lung cancer patients. [PDF]

Front Immunol
Cheng S, Chen D, Du R, Wang C, Xian J, Liu L, Wan H, Ye T.   +7 more
europepmc   +1 more source

Real‐World Prognostic Analysis of Clinical Characteristics in Extensive‐Stage Small Cell Lung Cancer: A Nomogram for Survival Prediction in Patients Receiving First‐Line Immunochemotherapy With Serplulimab

Cancer Medicine, Volume 15, Issue 8, August 2026.
Among 239 patients reviewed, 109 patients with extensive‐stage small‐cell lung cancer receiving first‐line serplulimab‐based immunochemotherapy were included. A nomogram incorporating liver metastasis, maintenance therapy, albumin, and neutrophil‐to‐lymphocyte ratio predicted overall survival and significantly stratified patients into three risk groups
Ying Zhu, Zhongwen Li, Ming Zhang, Yuyun Lan, Yarong Wang, Yao Liu, Yibing Liu   +6 more
wiley   +1 more source