Results 81 to 90 of about 2,746,777 (373)

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer

open access: yesMolecular Oncology, EarlyView.
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu   +7 more
wiley   +1 more source

Automating Abnormality Detection in Musculoskeletal Radiographs through Deep Learning [PDF]

open access: yesarXiv, 2020
This paper introduces MuRAD (Musculoskeletal Radiograph Abnormality Detection tool), a tool that can help radiologists automate the detection of abnormalities in musculoskeletal radiographs (bone X-rays). MuRAD utilizes a Convolutional Neural Network (CNN) that can accurately predict whether a bone X-ray is abnormal, and leverages Class Activation Map (
arxiv  

Abnormalities in Nicotiana [PDF]

open access: yesBotanical Gazette, 1918
Synanthy, or coalescence of blossoms, was noted in a species of tobacco, the seed of which was obtained from South America (S.P.I. no. 33708). This collection of seed gave red, purple, and white-flowered plants. In leaf characters the plants appeared fairly uniform. Although the seed was labeled N.
openaire   +2 more sources

Mechanisms of abnormal brain development leading to transsexualism (review)

open access: yesАндрология и генитальная хирургия, 2014
Overview of national and world literature on sexual autoidentification is analyzed. Prenatal brain development abnormalities leading to transsexualism are discussed.
L. F. Kurilo   +4 more
doaj  

Multiplex single‐cell profiling of putative cancer stem cell markers ALDH1, SOX9, SOX2, CD44, CD133 and CD15 in endometrial cancer

open access: yesMolecular Oncology, EarlyView.
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien   +7 more
wiley   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song   +13 more
wiley   +1 more source

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval [PDF]

open access: yesarXiv, 2021
In medical imaging, the characteristics purely derived from a disease should reflect the extent to which abnormal findings deviate from the normal features. Indeed, physicians often need corresponding images without abnormal findings of interest or, conversely, images that contain similar abnormal findings regardless of normal anatomical context.
arxiv  

Abnormality of the Introitus. [PDF]

open access: yesBJOG: An International Journal of Obstetrics & Gynaecology, 1905
n ...
openaire   +2 more sources

Plasma lipidomic and metabolomic profiles in high‐grade glioma patients before and after 72‐h presurgery water‐only fasting

open access: yesMolecular Oncology, EarlyView.
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé   +7 more
wiley   +1 more source

Identifying epileptogenic abnormalities through spatial clustering of MEG interictal band power [PDF]

open access: yesarXiv, 2023
Successful epilepsy surgery depends on localising and resecting cerebral abnormalities and networks that generate seizures. Abnormalities, however, may be widely distributed across multiple discontiguous areas. We propose spatially constrained clusters as candidate areas for further investigation, and potential resection.
arxiv  

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