Results 51 to 60 of about 33,934 (312)

Analysis of risk factors of secondary intracranial infection in patients with severe traumatic brain injury and construction of a Nomogram prediction model

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery, 2023
Objective To screen the risk factors of intracranial infection in patients with severe traumatic brain injury (sTBI) and establish a Nomogram model based on these risk factors.
ZOU Ting⁃ting   +5 more
doaj   +1 more source

Neuron‐Derived MIF Engages VCAM1 to Fuel a Self‐Amplifying CXCL8 Loop That Drives Perineural Invasion and Metastasis in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li   +13 more
wiley   +1 more source

Machine learning to predict the occurrence of thyroid nodules: towards a quantitative approach for judicious utilization of thyroid ultrasonography

open access: yesFrontiers in Endocrinology
IntroductionUltrasound is instrumental in the early detection of thyroid nodules, which is crucial for appropriate management and favorable outcomes.
Qijun Liang, Zhenhong Qi, Yike Li
doaj   +1 more source

Prostate cancer nomograms: an update

open access: yes, 2006
Objective: Several nomograms have been developed to predict outcomes related to prostate cancer (PCa). Methods: We provide a descriptive and an analytic comparison of nomograms.
Huland H   +7 more
core   +1 more source

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya   +2 more
wiley   +1 more source

Nomograms for Predicting Cancer-Specific and Overall Survival Among Patients With Endometrial Carcinoma: A SEER Based Study

open access: yesFrontiers in Oncology, 2020
Background: This study aimed to develop a detailed survival prognostication tool based on various clinical indicators of patients because of the lack of comprehensive prognostic tool.Methods: Data regarding 63,729 patients with endometrial carcinoma were
Lingping Zhu   +3 more
doaj   +1 more source

Metabolite-assisted models improve risk prediction of coronary heart disease in patients with diabetes

open access: yesFrontiers in Pharmacology, 2023
Background: Patients with diabetes have a two-to four-fold increased incidence of cardiovascular diseases compared with non-diabetics. Currently, there is no recognized model to predict the occurrence and progression of CVDs in diabetics.Objective: This ...
Min Shen   +4 more
doaj   +1 more source

Staging Systems and Nomograms for Soft Tissue Sarcoma

open access: yes, 2023
Reliable tools for prognosis prediction are crucially needed by oncologists so they can tailor individual treatments. However, the wide spectrum of histologies and prognostic behaviors of sarcomas challenges their development.
Maria Danieli, Alessandro Gronchi
core   +1 more source

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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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   +4 more
wiley   +1 more source

Nomograms for Visualizing Linear Support Vector Machines [PDF]

open access: yes, 2004
Support vector machines are often considered to be black box learning algorithms. We show that for linear kernels it is possible to open this box and visually depict the content of the SVM classifier in high-dimensional space in the interactive format of
Ivan Bratko   +9 more
core   +1 more source

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