Results 231 to 240 of about 354,255 (314)

Preoperative Doppler Ultrasound Parameters as Predictors of Arteriovenous Fistula Maturation in End-Stage Renal Disease: A Prospective Cohort Study. [PDF]

Int J Nephrol Renovasc Dis
Haji Ahmadi S, Sadeghi Zadeh S, Shahbandari M, Elhaie M.   +3 more
europepmc   +1 more source

Predicting the Efficacy of Adjuvant Chemotherapy Using Immuno‐Nutritional and Inflammatory Markers in Elderly Patients With Stage III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine whether immuno‐nutritional and inflammatory markers could serve as predictors of the outcomes of postoperative adjuvant chemotherapy for stage III colorectal cancer in elderly patients. Postoperative lymphocyte‐to‐monocyte ratio and postoperative C‐reactive protein‐to‐albumin ratio accurately predicted the efficacy of ...
Tomoya Tago, Yasuyuki Takamizawa, Takeharu Kato, Hiroshi Nagata, Konosuke Moritani, Shunsuke Tsukamoto, Yukihide Kanemitsu   +6 more
wiley   +1 more source

Fatal Escherichia coli Necrotizing Fasciitis in a Patient With End-Stage Renal Disease and Type 2 Diabetes Mellitus. [PDF]

Cureus
Clark CA, Boyd P, Richbart S, Khawaja I.
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Prevalence and Predictors of Pulmonary Hypertension in End-Stage Renal Disease: a Single-Center Cross-Sectional Study. [PDF]

Maedica (Bucur)
Neagu A, Capusa C, Zugravu A, Croitoru EL, Bogdan MA.   +4 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Elevated beta-human chorionic gonadotropin levels in a patient with end-stage renal disease awaiting kidney transplantation: a case report. [PDF]

J Med Case Rep
Rahbar M, Latifi M, Talebian MT, Hajialireza Tehrani T, Dehghani S.   +4 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques

Advanced Intelligent Systems, EarlyView.
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali, Derya Demir, Kutsev B. Ozyoruk, Yasin Almalioglu, Emre C. Kose, Drew F. K. Williamson, Gurdeniz Serin, G. Evren Keles, Banu S. Kumbaraci, Ceren Utku, Uguray P. Hacisalihoglu, Ilknur Turkmen, Figen Ozturk, Kayhan Basak, Yavuz Nuri Ertas, Mehmet Turan   +15 more
wiley   +1 more source

Enhancing end-stage renal disease outcome prediction: a multisourced data-driven approach. [PDF]

J Am Med Inform Assoc
Li Y, Padman R.
europepmc   +1 more source