Hematology

Leukemia

Latest AI and machine learning research in leukemia for healthcare professionals.

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Inhibitory activity of extracts of Hebridean brown seaweeds on lipase activity.

The effect of three Hebridean brown seaweeds on lipase activity was assessed using a turbidimetric l...

May 2015 27057089
Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. Howe...

May 2015 25998519
Clinical evaluation of postoperative chemotherapy based on genetic testing in patients with stage IIIA non-small cell lung cancer.

BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy s...

Apr 2015 26816538
Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative ...

Apr 2015 25828383
Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selecti...

Mar 2015 25880524
HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals.

PURPOSE: Cancer care involves extensive knowledge about numerous chemotherapy drugs and chemotherapy...

Mar 2015 25736385
Colored Traveling Salesman Problem.

The multiple traveling salesman problem (MTSP) is an important combinatorial optimization problem. I...

Dec 2014 25494521
Integrating GO and KEGG terms to characterize and predict acute myeloid leukemia-related genes.

BACKGROUND/OBJECTIVE: Acute myeloid leukemia (AML) is a progressive and malignant cancer of myelogen...

Oct 2014 25343280
Accept/decline decision module for the liver simulated allocation model.

Simulated allocation models (SAMs) are used to evaluate organ allocation policies. An important comp...

Aug 2014 25171940
The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross...

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Comprehensive wiring diagrams from electron microscopy (EM) are a powerful tool to understand the in...

Deep Learning Spatial Profiling of CD103+CD8+ T Cells and Survival in Rectal Cancer After Neoadjuvant Chemoradiotherapy

Background: CD8+ tumor-infiltrating lymphocytes (TILs) are established prognostic markers in colorec...

dbGIST: An LLM-Assisted Multi-Omics Resource for Target Exploration and Cross-Dataset Validation in Gastrointestinal Stromal Tumors

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointes...

Molecular Characterization of T-Lineage Acute Lymphoblastic Leukemia by an Optimal-Transport Based Multi-Omics Integration Framework

T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive pediatric malignancy characterized b...

Normative modeling for quantitative brain MRI phenotyping and biomarker discovery for pediatric leukodystrophies

Importance: Leukodystrophies are a heterogeneous group of genetic disorders affecting the white matt...

Identification of amino acid metabolism-related biomarkers in liver fibrosis: a transcriptomic analysis with experimental validation

Background Liver fibrosis (LF) represents a pivotal pathological phase in the advancement of chronic...

Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines

Symbolic methods are generally not considered competitive with strong modern learners on realistic s...

A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...

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