Breast cancer (BC) is one of the most heterogeneous groups of cancer. As every biotype of
BC is unique and presents a particular “omic” signature, they are increasingly characterized …

Lipids are a major component of extracellular vesicles; however, their significance in
tumorigenesis and progression has not been well elucidated. As we previously found that …

Uterine fibroids (UF) is the most common (about 70% cases) type of gynecological disease,
with the recurrence rate varying from 11 to 40%. Because UF has no distinct …

There is an extraordinary flood of new technologies in medicine nowadays. Sophisticated
diagnostics based on genome assays, mass spectrometry and cell sorting platforms are …

Hundreds of compounds are detected during untargeted lipidomics analysis. The potential
efficacy of lipids as disease markers makes it important to select the species with the most …

Altered lipid metabolism has been associated with the progression of various cancers, and
aberrant expression of enzymes involved in the lipid metabolism has been detected in …

In this work a study is conducted on the Breast tissues using machine learning algorithms to
identify the Breast cancer. The paper proposes a hierarchical two stage classification frame …

Background: Recently developed methods of ambient ionization allow rapid obtaining of
large mass spectrometric datasets, which have a great application in biological and medical …

The development of minimally invasive, non-traumatic and stable approaches for the
diagnosis of metastatic lesions of regional lymph nodes upon breast cancer is of great …