Results 201 to 210 of about 35,592 (307)

Label‐Free Machine Learning Prediction of Chemotherapy on Tumor Spheroids Using a Microfluidics Droplet Platform

Small Science, EarlyView.
A droplet‐based microfluidic platform is used to form and test drugs on spheroids, from cell line and PDX cells. Images are taken and morphological features of spheroids are used to train a neural network to classify spheroid viability in a label‐free manner.
Caroline Parent, Hasti Honari, Tiziana Tocci, Franck Simon, Sakina Zaidi, Audric Jan, Vivian Aubert, Olivier Delattre, Hervé Isambert, Claire Wilhelm, Jean‐Louis Viovy   +10 more
wiley   +1 more source

Some Remarks on the Fucik Spectrum of the p-Laplacian and Critical Groups

, 2000
E. N. Dancer, Kanishka Perera
openalex   +2 more sources

Positive solutions of inequality with $p$-Laplacian in exterior domains [PDF]

, 2002
Robert Mařı́k
openalex   +1 more source

Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy

Small Methods, EarlyView.
A generative AI model for super‐resolution microscopy images is presented. Super‐resolution microscopy provides high spatial detail at the expense of lower time resolution. Using it for live samples requires computational image reconstruction. It is unclear what good priors and metrics for AI‐generated super‐resolution images are.
Meri Abgaryan, Xinning Cui, Nandu Gopan, Gabriel della Maggiora, Artur Yakimovich, Ivo F. Sbalzarini   +5 more
wiley   +1 more source

Upper and lower solutions method and a singular superlinear boundary value problem for the one-dimensional p-Laplacian

, 2001
Daqing Jiang
openalex   +1 more source

POCALI: Prediction and Insight on CAncer LncRNAs by Integrating Multi‐Omics Data with Machine Learning

Small Methods, EarlyView.
Long non‐coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis and therapy, highlighting the urgent need for computational methods to accelerate their comprehensive discovery. Here, to better predict and provide functional insight into cancer lncRNAs, a novel interpretable machine‐learning method (POCALI) is ...
Ziyan Rao, Chenyang Wu, Yunxi Liao, Chuan Ye, Shaodong Huang, Dongyu Zhao   +5 more
wiley   +1 more source

The signal quality of tripolar Laplacian electrogram compared to bipolar electrogram in cardiac electrophysiology. [PDF]

J Arrhythm
Yamashita S, Takemoto M, Fujimoto W, Kuroda K, Imanishi J, Iwasaki M, Todoroki T, Okuda M.   +7 more
europepmc   +1 more source

Local Hölder regularity of gradients for evolutional p-Laplacian systems [PDF]

, 2002
Masashi Misawa
openalex   +1 more source

Thermal Imaging for Quality Control in Thin Silicon‐Based Coatings for Lithium‐Ion Batteries: Defect Detection, Drying Dynamics, and Machine Learning‐Based Mass Loading Estimation

Small Methods, EarlyView.
Thermal imaging offers a non‐destructive approach to quality control in silicon‐based lithium‐ion battery electrodes, enabling the detection of defects, variations in mass loading, and the monitoring of drying dynamics. This study introduces an automated defect‐detection‐algorithm and a machine learning‐based Random Forest model to estimate mass ...
Adil Amin, Philipp Valentin Geiping, Ahammed Suhail Odungat, Fatih Özcan, Doris Segets   +4 more
wiley   +1 more source

$C^{1,\alpha}$ Local Regularity for the Solutions of the $p$-Laplacian on the Heisenberg Group for $2≤p<1+\sqrt5$

, 2001
Silvana Marchi
openalex   +2 more sources