Results 71 to 80 of about 2,372,317 (320)
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková+14 more
wiley +1 more source
Probability Model Based Coverage-Enhancing Algorithm for WSNs of Nodes' Adjustable Movement Pattern
Aimed at the defects of current coverage-enhancing algorithms, firstly the probability model is introduced into the coverage-enhancing algorithm of the directional sensor network based on the virtual potential field, and the probability model would have ...
Junjie Huang+4 more
doaj +1 more source
Machine Learning Enabled Performance Prediction Model for Massive-MIMO HetNet System
To support upcoming novel applications, fifth generation (5G) and beyond 5G (B5G) wireless networks are being propelled to deploy an ultra-dense network with an ultra-high spectral efficiency using the combination of heterogeneous network (HetNet ...
Shuvabrata Bandopadhaya+2 more
doaj +1 more source
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi+12 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
On Downlink NOMA in Heterogeneous Networks With Non-Uniform Small Cell Deployment
Compared to orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) can achieve higher spectral efficiency by exploiting the power domain multiplexing.
Tao Han+6 more
doaj +1 more source
Neural network probability estimation for broad coverage parsing [PDF]
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-corner parsing, and these parameters are used to search for the most probable parse.
openaire +3 more sources
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Prediction Limits for Poisson INAR(1) Process
We discuss the problem of deriving an estimative prediction limit as well as a simulation-based improved prediction limit for a future realization from the stationary, first-order Poisson INAR(1) process.
Khreshna Syuhada+2 more
doaj +1 more source
ABSTRACT Objective The characteristics and utility of composite progression independent of relapse activity (cPIRA; worsening on the Expanded Disability Status Scale [EDSS], or 9‐Hole Peg Test, or Timed 25‐Foot Walk Test) were evaluated as an endpoint in relapsing multiple sclerosis (RMS) trials using the ENSEMBLE (NCT03085810) and pooled OPERA I/II ...
Ludwig Kappos+11 more
wiley +1 more source