Hematology

Leukemia

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

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A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ran...

Geometric-attributes-based segmentation of cortical bone slides using optimized neural networks.

In cortical bone, solid (lamellar and interstitial) matrix occupies space left over by porous microf...

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...

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...

All-atom 3D structure prediction of transmembrane β-barrel proteins from sequences.

Transmembrane β-barrels (TMBs) carry out major functions in substrate transport and protein biogenes...

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 ...

Data Mining and Machine Learning Tools for Combinatorial Material Science of All-Oxide Photovoltaic Cells.

Growth in energy demands, coupled with the need for clean energy, are likely to make solar cells an ...

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...

A Synergistic Role of Myeloperoxidase and High Sensitivity Troponin T in the Early Diagnosis of Acute Coronary Syndrome.

Aim of this study was to evaluate the role of Myeloperoxidase (MPO) and high sensitive Troponin T in...

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

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

"You gotta try it all": Parents' Experiences with Robotic Gait Training for their Children with Cerebral Palsy.

AIMS: Innovative robotic technologies hold strong promise for improving walking abilities of childre...

Colored Traveling Salesman Problem.

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

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...

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

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

Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks.

DNA logic circuits are essential building blocks for molecular computers. Traditional molecular logi...

Machine learning driven prediction of drug efficacy in lung cancer: based on protein biomarkers and clinical features.

Currently, chemotherapy drugs are the first-line treatment for lung cancer patients, and evaluating ...

CAISR: achieving human-level performance in automated sleep analysis across all clinical sleep metrics.

STUDY OBJECTIVES: To develop and validate a Complete Artificial Intelligence Sleep Report system (CA...

Sensitive Detection and Identification Method of Erythrocyte-like Cells upon Doxorubicin Induced Differentiation with Vibrational Techniques.

Altered differentiation of blood cell precursors and their clonal expansion occurs in various types ...

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