Results 91 to 100 of about 8,124,451 (335)

An Efficient Cancer Classification Model Using Microarray and High-Dimensional Data

Computational Intelligence and Neuroscience, 2021
Cancer can be considered as one of the leading causes of death widely. One of the most effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using expression profiling technique which is based on microarray gene.
Hanaa Fathi, Hussain Alsalman, Abdu H. Gumaei, Ibrahim I. M. Manhrawy, Abdelazim G. Hussien, P. El-Kafrawy   +5 more
semanticscholar   +1 more source

Validation of a Multivariate Serum Profile for Epithelial Ovarian Cancer Using a Prospective Multi-Site Collection [PDF]

, 2010
In previous studies we described the use of a retrospective collection of ovarian cancer and benign disease samples, in combination with a large set of multiplexed immunoassays and a multivariate pattern recognition algorithm, to develop an 11-biomarker ...
Beth Y. Karlan, Brian C. Mansfield, Brigitte E. Miller, Eva Chalas, Glenn E. Bigsby, Greg P. Bertenshaw, James F. Barter, James P. Mapes, James W. Orr, Jinghua Zhao, Katharine J. Bergstrom, Laurie L. Stephen, Lynda D. Roman, Michael E. McCollum, Partha Seshaiah, Paul A. DiSilvestro, Ping F. Yip, Robert W. Holloway, Ronald D. Alvarez, Suraj Amonkar, Tzong-Hao Chen   +20 more
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Unsupervised Hierarchical Clustering Identifies Immune Gene Subtypes in Gastric Cancer

Frontiers in Pharmacology, 2021
Objectives: The pathogenesis of heterogeneity in gastric cancer (GC) is not clear and presents as a significant obstacle in providing effective drug treatment.
Jing Cao, Jiao Gong, Xinhua Li, Zhaoxia Hu, Yingjun Xu, Hong Shi, Danyang Li, Guangjian Liu, Yusheng Jie, Bo Hu, Yutian Chong   +10 more
doaj   +1 more source

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

, 2017
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to annotate.
C Varela, G Carneiro, H Greenspan, N Dhungel, T Kooi, TG Dietterich, W Shen, Z Jiao, Z Yan   +8 more
core   +1 more source

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell, Kavitha Srivatsa, Paola Angelini, Pei‐Chi Kao, Brady Payne, Arlene Naranjo, Sveva Castelli, Miho Kato, Miki Ohira, Ulriche Pöetschger, Yaël Mossé, Lucas Moreno, Meredith S. Irwin, Ramya Ramanujachar, Wendy B. London   +14 more
wiley   +1 more source

The consensus immunoscore: toward a new classification of colorectal cancer

OncoImmunology, 2020
In its latest edition, the WHO classification of the Digestive System Tumors introduced for the first time the immune response as essential and desirable diagnostic criteria for colorectal cancer.
Anastasia Lanzi, Franck Pagès, Christine Lagorce-Pagès, Jérôme Galon   +3 more
doaj   +1 more source

Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction

IEEE Access, 2023
Cancer Research has advanced during the past few years. Using high throughput technology and advances in artificial intelligence, it is now possible to improve cancer diagnosis and targeted therapy, by integrating the investigation and analysis of ...
Imene Zenbout, Abdelkrim Bouramoul, Souham Meshoul, Mounira Amrane   +3 more
doaj   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

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

Microorganisms
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, Shiva Shokouhmand, Saeka Rahman, Nafisa Nawar Tamzi, Smriti Bhatt, Miad Faezipour   +5 more
doaj   +1 more source