Results 121 to 130 of about 11,426,298 (383)
Molecular Oncology, EarlyView.Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane +16 more
wiley +1 more source
IEEE Access, 2019 This paper presents a fuzzy c-means clustering interval type-2 cerebellar model articulation neural network (FCM-IT2CMANN) method to help physicians improve diagnostic accuracy.
Tien-Loc Le
doaj +1 more source
ARTMAP-IC and Medical Diagnosis: Instance Counting and Inconsistent Cases [PDF]
, 1996 For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTMAP system.
Carpenter, Gail A., Markuzon, Natalya
core +1 more source
Predictive data mining approaches in medical diagnosis: A review of some diseases prediction
International Journal of Data and Network Science, 2019 Article history: Received: October 18, 2018 Received in revised format: December 20, 2018 Accepted: January 8, 2019 Available online: January 8, 2019 Due to the increasing technological advances in all fields, a considerable amount of data has been ...
R. Ghorbani, R. Ghousi
semanticscholar +1 more source
Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression
Molecular Oncology, EarlyView.Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park +6 more
wiley +1 more source
A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease
IEEE Access, 2017 Parkinson's disease (PD) is a progressive neurodegenerative motor system disorder. Early diagnosis of PD is important to control the symptoms appropriately. Recent voice and speech recognition techniques provide alternative solutions for PD screening. In
Zhennao Cai, Jianhua Gu, Hui-Ling Chen
doaj +1 more source
Research Pattern Classification using imaging techniques for Infarct and Hemorrhage Identification in the Human Brain [PDF]
, 2006 Medical Image analysis and processing has great significance in the field of medicine, especially in Non- invasive treatment and clinical study. Medical imaging techniques and analysis tools enable the Doctors and Radiologists to arrive at a specific ...
S, SubhaRan, T, Kesavamurthy
core
Molecular Oncology, EarlyView.TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam +9 more
wiley +1 more source
Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay
Comput. Math. Methods Medicine, 2019 Early diagnosis of dengue continues to be a concern for public health in countries with a high incidence of this disease. In this work, we compared two machine learning techniques: artificial neural networks (ANN) and support vector machines (SVM) as ...
Jorge Daniel Mello-Román +3 more
semanticscholar +1 more source