[HTML][HTML] Artificial intelligence enhances diagnostic flow cytometry workflow in the detection of minimal residual disease of chronic lymphocytic leukemia
Simple Summary Flow cytometric immunophenoty** is critical in detecting minimal
residual disease (MRD) in patients with chronic lymphocytic leukemia (CLL). However, flow …
residual disease (MRD) in patients with chronic lymphocytic leukemia (CLL). However, flow …
MAGIC‐DR: An interpretable machine‐learning guided approach for acute myeloid leukemia measurable residual disease analysis
Multiparameter flow cytometry is widely used for acute myeloid leukemia minimal residual
disease testing (AML MRD) but is time consuming and demands substantial expertise …
disease testing (AML MRD) but is time consuming and demands substantial expertise …
Computational assessment of measurable residual disease in acute myeloid leukemia using mixture models
Background The proportion of residual leukemic blasts after chemotherapy assessed by
multiparameter flow cytometry, is an important prognostic factor for the risk of relapse and …
multiparameter flow cytometry, is an important prognostic factor for the risk of relapse and …
Identifying novel subtypes of functional gastrointestinal disorder by analyzing nonlinear structure in integrative biopsychosocial questionnaire data
Background/Objectives: Given the limited success in treating functional gastrointestinal
disorders (FGIDs) through conventional methods, there is a pressing need for tailored …
disorders (FGIDs) through conventional methods, there is a pressing need for tailored …
Fuzzy information Discrimination measures and their application to low dimensional embedding construction in the UMAP algorithm
Dimensionality reduction techniques are often used by researchers in order to make high
dimensional data easier to interpret visually, as data visualization is only possible in low …
dimensional data easier to interpret visually, as data visualization is only possible in low …
Fraud detection in credit card transactions using HDBSCAN, UMAP and SMOTE methods
Credit card abuse and fraud in credit card transactions pose a serious threat to financial
companies and consumers. To overcome this problem, accurate and effective fraud …
companies and consumers. To overcome this problem, accurate and effective fraud …
[HTML][HTML] Preterm infants show an atypical processing of the mother's voice
To understand the consequences of prematurity on language perception, it is fundamental to
determine how atypical early sensory experience affects brain development. At term …
determine how atypical early sensory experience affects brain development. At term …
Towards self-explainable transformers for cell classification in flow cytometry data
Decisions of automated systems in healthcare can have far-reaching consequences such as
delayed or incorrect treatment and thus must be explainable and comprehensible for …
delayed or incorrect treatment and thus must be explainable and comprehensible for …
[HTML][HTML] Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation
In healthcare, vast amounts of data are increasingly collected through sensors for smart
health applications and patient monitoring or diagnosis. However, such medical data often …
health applications and patient monitoring or diagnosis. However, such medical data often …
HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention
In the realm of hematologic cell populations classification, the intricate patterns within flow
cytometry data necessitate advanced analytical tools. This paper presents' HemaGraph', a …
cytometry data necessitate advanced analytical tools. This paper presents' HemaGraph', a …