Results 31 to 40 of about 5,397,815 (312)

Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique

open access: yesBioMedInformatics
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality.
Nusrath Tabassum   +3 more
doaj   +1 more source

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

open access: yesIEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization

open access: yesFrontiers in Genetics
Microarray gene expression data have emerged as powerful tools in cancer classification and diagnosis. However, the high dimensionality of these datasets presents significant challenges for feature selection, leading to the development of various ...
Swetha Dhamercherla   +2 more
doaj   +1 more source

Cancer Pain Assessment and Classification [PDF]

open access: yesCancers, 2019
More than half of patients affected by cancer experience pain of moderate-to-severe intensity, often in multiple sites, and of different etiologies and underlying mechanisms. The heterogeneity of pain mechanisms is expressed with the fluctuating nature of cancer pain intensity and clinical characteristics.
Augusto Caraceni, Morena Shkodra
openaire   +2 more sources

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Cancer trends: Breast, cervical and colorectal cancer 1994-2019: National trends for cancers with population-based screening programmes in Ireland

open access: yes, 2022
The overall burden of cancer in Ireland is increasing, primarily due to population growth and ageing, with the annual number of cases of breast cancer, cervical cancer and colorectal cancer estimated to increase by 50%, 56% and 113% respectively by 2045 ...
National Cancer Registry Ireland (NCRI)
core  

HER3 Is an Actionable Target in Advanced Prostate Cancer.

open access: yes, 2021
It has been recognized for decades that ERBB signaling is important in prostate cancer, but targeting ERBB receptors as a therapeutic strategy for prostate cancer has been ineffective clinically.
Bertan, C   +44 more
core   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

MicroAIbiome: Decoding Cancer Types from Microbial Profiles Using Explainable Machine Learning

open access: yesMicroorganisms
Microbial communities within human tissues are increasingly recognized as promising biomarkers for cancer detection. However, leveraging microbiome data for multiclass cancer classification remains challenging due to its compositional structure, high ...
Md Motiur Rahman   +5 more
doaj   +1 more source

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