Results 191 to 200 of about 204,238 (313)

The Crude Venom of the Whitetail Lancehead, Bothrops leucurus, and Two of Its Enzymatic Components Are Selectively Cytotoxic for Glioma Cells In Vitro

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Malignant glioma is the most common primary brain tumor, and glioblastoma multiforme (GBM) remains its most aggressive and incurable form. Snake venoms contain bioactive compounds with promising antitumoral properties against several cancer types.
M. O. H. V. Rosário   +7 more
wiley   +1 more source

Microbiota-Neuroinflammation Crosstalk in Primary Brain Tumors: Focus on Glioblastoma. [PDF]

open access: yesBrain Behav
AlRamadneh TN   +8 more
europepmc   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu   +11 more
wiley   +1 more source

Review of glioblastoma and systemic comorbidities. [PDF]

open access: yesFront Oncol
Tianqing Z, Yuan G, Qianyi Y, Yanchu L.
europepmc   +1 more source

Deep‐Learning Based Contrast Boosting: A Multi‐Center Multi‐Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Gadolinium‐based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition.
Srivathsa Pasumarthi Venkata   +10 more
wiley   +1 more source

Machine Learning Model for Predicting Hepatocellular Carcinoma Development in Patients With Hepatitis B Virus‐Related Cirrhosis Receiving Antiviral Therapy

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Few prediction models have been specifically designed to evaluate the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B and cirrhosis. This study aimed to develop a machine learning‐based prediction model to assess the risk of developing HCC in patients with hepatitis B virus (HBV)‐related cirrhosis undergoing nucleos(
Pao‐Yuan Huang   +4 more
wiley   +1 more source

Coupling Landscape Patterns and Ecosystem Services With Sustainable Development Goals for Regional Sustainability: Evidence From the Yellow River Basin

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Human activities are accelerating ecosystem degradation, making regional sustainability transitions increasingly urgent. Although the United Nations Sustainable Development Goals (SDGs) provide a unified global framework for action, their implementation at the regional scale still lacks operational approaches for evaluating whether progress in
Li Luo   +6 more
wiley   +1 more source

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