Results 251 to 260 of about 24,246,868 (339)

Distinction Between Homozygous and Heterozygous Subjects with Hereditary Haemochromatosis Using Iron Status Markers and Receiver Operating Characteristic (ROC) Analysis

, 1995
Nils Milman, Michael Albeck
openalex   +2 more sources

Mac‐2 Binding Protein Glycosylation Isomer (M2BPGi)–Based Risk Stratification Refined by Tumor Metabolic Activity in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
M2BPGi reflects background liver fibrosis and hepatic functional impairment. PET SUVmax reflects tumor metabolic aggressiveness. Their combination identifies a dual‐high subgroup with the poorest recurrence‐free and overall survival. ABSTRACT Aim To evaluate the prognostic significance of preoperative Mac‐2 binding protein glycosylation isomer (M2BPGi)
Kojiro Shirabe, Junya Mita, Shinji Itoh, Takeo Toshima, Yoshiyuki Kitamura, Norifumi Iseda, Takuro Isoda, Kousei Ishigami, Tomoharu Yoshizumi   +8 more
wiley   +1 more source

Diagnostic Utility of Platelet Indices in Differentiating Hypoproductive and Hyperdestructive Thrombocytopenia: A Cross-Sectional Study From North India. [PDF]

Cureus
Choudhary R, Choudhary P, Sharma SP, Gupta YK, Udawat H.   +4 more
europepmc   +1 more source

Evaluating Risk Assessments Using Receiver Operating Characteristic (ROC) Analysis: Rationale, Advantages, Insights, and Limitations

, 2012
Douglas Mossman
openalex   +1 more source

Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease

Annals of Gastroenterological Surgery, EarlyView.
KRAS mutation demonstrated a prognostic impact according to primary tumor sidedness, independent of tumor morphology, in patients undergoing hepatectomy for colorectal liver metastases. A nomogram integrating biological and clinicopathological factors was developed to provide continuous biological risk assessment.
Yuzo Umeda, Toshiharu Mitsuhashi, Tomokazu Fuji, Toru Kojima, Takeshi Koujima, Tatsuo Matsuda, Daisuke Satoh, Masaru Inagaki, Kosei Takagi, Toshiyoshi Fujiwara   +9 more
wiley   +1 more source

Adipokine patterns in type 1 and type 2 diabetes mellitus: comparative analysis of adiponectin-leptin ratio, visfatin, and TNF-α. [PDF]

Front Endocrinol (Lausanne)
Wu B, He H, Zeng J, Lai X, Bai Y.
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Nonlinear Association of Estimated Pulse Wave Velocity With Bone Health Outcomes: Evidence From the NHANES Database. [PDF]

Int J Endocrinol
Zhu X, Zhou Z.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source