Results 191 to 200 of about 280,956 (255)

Urinary DNA methylation biomarkers for bladder cancer diagnosis: a single center case-control study. [PDF]

Front Oncol
Li C, Fang R, Wang J, Wang Y, Zhao S, Wu Q, Ying C, Rao M.   +7 more
europepmc   +1 more source

Current Status and Challenges of Imaging‐Based Diagnosis of Lymph Node Metastasis in Colon Cancer: The Lymph Node Committee of the Japanese Society for Cancer of the Colon and Rectum

Annals of Gastroenterological Surgery, EarlyView.
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa, Yuji Takayama, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hideki Ueno   +4 more
wiley   +1 more source

Lower-Limb Phase Angle and Muscle Mass Ratio Are Associated with Slow Timed Up and Go Performance in Community-Dwelling Japanese Adults. [PDF]

J Clin Med
Homma D, Imai N, Miyasaka D, Yamato M, Ishisaki M, Sugahara T, Yamada M, Suzuki H, Horigome Y, Sakagami A, Dohmae Y, Endo N, Minato I, Kawashima H.   +13 more
europepmc   +1 more source

Carcinoembryonic Antigen Messenger RNA in Pelvic Lavage Fluid Predicts Local Recurrence After Curative‐Intent Resection of Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
Pelvic lavage carcinoembryonic antigen (CEA) mRNA was quantified in 178 patients undergoing curative‐intent resection for rectal cancer. Positive pelvic lavage CEA mRNA was significantly associated with local recurrence and provided additional prognostic information beyond circumferential resection margin (CRM) status.
Hiroyuki Asai, Yushi Yamakawa, Kazuyoshi Shiga, Shuhei Uehara, Akira Kato, Takuya Suzuki, Hajime Ushigome, Hiroki Takahashi, Yoichi Matsuo, Shuji Takiguchi   +9 more
wiley   +1 more source

On the Appropriate Classification of Discriminative Power Categories When Performing the Receiver Operating Characteristic Curve Analysis. [PDF]

Interdiscip Cardiovasc Thorac Surg
Nezic D.
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

An Immune Model Incorporating NK Cells and IL-12 to Predict the Efficacy of the Initial Treatment Cycle of Efgartigimod in Generalized Myasthenia Gravis. [PDF]

Drug Des Devel Ther
Xin H, Zhong Y, Zhang M, Wu L, Li Q, Li X, Wu Y, Zhang L, Peng J, Xie C, Zhu D, Hao Y, Guan Y, Wang K.   +13 more
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

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study. [PDF]

JMIR Aging
Zhong G, Huang X, Li C, Wang D, Huang D, Sun M, Zhou Q, Guo Y.   +7 more
europepmc   +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