Results 171 to 180 of about 186,023 (249)

Machine learning based on body composition radiomics for predicting early recurrence in colorectal cancer: a multicenter study. [PDF]

Front Nutr
Zhou Y, Zhou M, Tan Y, Zhao J, Zeng S, Yu A, Dong S, Liu L, Zhong L.   +8 more
europepmc   +1 more source

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 more
wiley   +1 more source

Prognostic Models for Small Hepatocellular Carcinoma Using Inflammatory Indices and Machine Learning: A Propensity Score-Matched Study. [PDF]

Int J Gen Med
Cong Y, Gou Y, Ma Z, Huang W, Zhang L, Guo Q, Aji T, Shao Y.   +7 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

How much is enough? Defining the critical resection margin in myxofibrosarcoma. [PDF]

World J Surg Oncol
Wallner C, Drysch M, Reinkemeier F, Schmidt S, Sogorski A, Stricker I, Dadras M, Lehnhardt M, Puscz F.   +8 more
europepmc   +1 more source

Lipid Nanoparticle Co‐Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy

Advanced Materials, EarlyView.
Co‐encapsulation of p53 mRNA and the small molecule ciclopirox within a lipid nanoparticle yields an all‐in‐one chemoimmunotherapy for oral squamous cell carcinoma. The platform engages caspase‐driven apoptosis in cancer cells while repolarizing tumor‐associated macrophages, achieving tumor reduction in both p53‐susceptible and p53‐resistant models and
Marshall S. Padilla, Jacqueline J. Li, Qunzhou Zhang, Korey Patwari, Shihong Shi, Hannah M. Yamagata, Ryann A. Joseph, Briyanna N. Hymms, Sridatta V. Teerdhala, Emily Fitzgerald, Ori Z. Chalom, Kushol Gupta, Mohamad‐Gabriel Alameh, Drew Weissman, Anh D. Le, Michael J. Mitchell   +15 more
wiley   +1 more source

Multicenter Study of Multimodal MRI Radiomics and Deep Learning-Based Segmentation for Predicting Local Recurrence of Nasopharyngeal Carcinoma. [PDF]

Cancers (Basel)
Yao D, Lai Y, Bin X, Li J, Chen B, Tang A.   +5 more
europepmc   +1 more source

Quantifying the Dynamics of Interpersonal Interaction: A Primer on Cross-Recurrence Quantification Analysis using R.

, 2015
Coco M, Dale R
openaire   +2 more sources

Decoupling Activation and Preservation: Architectural Design Principles of Organic Frameworks for Selective Photocatalytic Methane Oxidation

Advanced Materials, EarlyView.
Selective methane (CH4) photooxidation emerges from architectural decoupling of activation and preservation. Programmable organic semiconductor frameworks spatially organize oxidative flux and intermediate residence, separating reaction zones from product domains to synchronize activation strength with stabilization and establish a selective oxidation ...
Minxian Zhang, Jie He, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +5 more
wiley   +1 more source

Development and Validation of a Nursing-Integrated Nomogram to Predict 1-Year Ulcer Recurrence in Patients with Diabetic Foot Ulcers After Endovascular Therapy. [PDF]

Diabetes Metab Syndr Obes
Fu L, Zeng W, Ding H, Chen Z, Chen X.
europepmc   +1 more source