Results 81 to 90 of about 28,610,872 (373)
INTRODUCTION This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.
R. E. Donatelli+3 more
semanticscholar +1 more source
In this explorative biomarker analysis, we assessed serial sampling of circulating tumor cells (CTCs) with CellSearch in two randomized trials testing immune checkpoint inhibitors (ICIs) in metastatic breast cancer. Our data demonstrate a prognostic potential of CTCs, most apparent 4 weeks into ICI therapy.
Nikolai Kragøe Andresen+13 more
wiley +1 more source
Optimizing Convolutional Neural Network Architectures
Convolutional neural networks (CNNs) are commonly employed for demanding applications, such as speech recognition, natural language processing, and computer vision.
Luis Balderas+2 more
doaj +1 more source
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT).
Ricardo Petri Silva+3 more
doaj +1 more source
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha+6 more
wiley +1 more source
A Green AI Methodology Based on Persistent Homology for Compressing BERT
Large Language Models (LLMs) like BERT have gained significant prominence due to their remarkable performance in various natural language processing tasks. However, they come with substantial computational and memory costs.
Luis Balderas+2 more
doaj +1 more source
A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer
Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini+11 more
wiley +1 more source
A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread.
Hatef Dastour, Quazi K. Hassan
doaj +1 more source
Nonlinear time-series analysis revisited
In 1980 and 1981, two pioneering papers laid the foundation for what became known as nonlinear time-series analysis: the analysis of observed data---typically univariate---via dynamical systems theory.
Bradley, Elizabeth, Kantz, Holger
core +1 more source
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source