Results 231 to 240 of about 98,614 (388)

Uterine Artery Doppler in Complicated Twin Pregnancies. [PDF]

open access: yesDiagnostics (Basel)
Filipecka-Tyczka D   +13 more
europepmc   +1 more source

A nomogram incorporating clinical and laboratory indicators for predicting metabolic dysfunction‐associated fatty liver disease in newly diagnosed type 2 diabetes patients

open access: yesJournal of Diabetes Investigation, EarlyView.
It is critical to develop a simple, cost‐effective and practical predictive measurement for screening MAFLD individuals in the early stage of T2DM. We developed a nomogram model based on eight clinical and laboratory indicators to predict MAFLD in patients with newly diagnosed T2DM.
Tingting Li   +4 more
wiley   +1 more source

Identification and verification of feature biomarkers associated with CD14+ monocytes in type 1 diabetes

open access: yesJournal of Diabetes Investigation, EarlyView.
ID1 was identified as the feature gene of CD14+ monocytes, which exhibited the well‐known ability of diagnosis and prediction of T1D. ABSTRACT Aims/Introduction Monocytes contribute to the immune dysregulation of pancreatic islets in Type 1 diabetes mellitus (T1D).
Jin Huang   +6 more
wiley   +1 more source

Nomogram for Predicting Hypoglycemia in Type 2 Diabetes Mellitus Patients Treated with Insulin Pump During Enteral Nutrition

open access: yesDiabetes, Metabolic Syndrome and Obesity
Jufei Wu,1,* Jishi Wu,2,* Yan Zhou,3 Xiaohua Lu,4 Wane Zhao,4 Fengmei Xu1 1Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, People’s Republic of China; 2Department of General Medicine, The First Affiliated
Wu J, Wu J, Zhou Y, Lu X, Zhao W, Xu F
doaj  

Diagnosis melanoma with artificial intelligence systems: A meta‐analysis study and systematic review

open access: yesJournal of the European Academy of Dermatology and Venereology, EarlyView.
This meta‐analysis evaluates the diagnostic accuracy of AI‐based skin cancer models. The pooled AUC was 0.96, with sensitivity and specificity of 0.89 and 0.92, respectively. Hybrid models demonstrated superior performance (AUC: 0.98) compared to single DL (AUC:0.95) and ML (AUC:0.95) models.
Gözde Ertürk Zararsız   +10 more
wiley   +1 more source

Nomogram for Deep Vein Thrombosis Prediction Post‐Endovascular Thrombectomy in Acute Ischemic Stroke: A Retrospective Multicenter Observational Study

open access: yesJournal of Clinical Nursing, EarlyView.
ABSTRACT Background Deep vein thrombosis (DVT) is a frequent complication following endovascular thrombectomy (EVT) in patients with acute ischaemic stroke (AIS), potentially leading to fatal pulmonary embolism (PE). Identifying patients early at high risk for DVT is clinically important.
Li Han   +8 more
wiley   +1 more source

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