Article

Machine Learning Driven Dashboard for Chronic Myeloid Leukemia Prediction using Protein Sequences

2024-06-26

Abstract excerpt

In Southeast Asia, the incidence of Leukemia, a malignant blood cancer originating from hema-topoietic progenitor cells, is on the rise, marked by a concerning 54% mortality rate. This study focuses on enhancing early-stage prediction to improve patient recovery prospects significantly. Leveraging Machine Learning and Data Science, we employ protein sequential data from frequently mutated genes such as BCL2, HSP90...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e60b805a-d504-548d-ab80-66707f1af794
DOI: 10.20944/preprints202312.0053.v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine Learning Driven Dashboard for Chronic Myeloid Leukemia Prediction using Protein SequencesDOI 10.20944/preprints202312.0053.v2Read

Diagnosis of acute promyelocytic leukemia based on routine biological parameters using machine learningSemantic proximity Read

AI-Driven Identification and Validation of RXFP1 as a CML Biomarker Using Gene Expression and Integrated GUI ToolsSemantic proximity Read

A Supervised Machine Learning Model to Predict Therapy Response and Mortality at 90 days After Acute Myeloid Leukemia DiagnosisSemantic proximity Read

Repositioning of FDA-approved anti-cancer drugs for fatal blast crisis CML by integrated high-throughput genomic and artificial intelligence-based drug discovery analyses of pan-leukemic genetic abnormalities: Implications in post-COVID-19 eraSemantic proximity Read

Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia PatientsSemantic proximity Read

A normalized differential sequence feature encoding method based on amino acid sequencesSemantic proximity Read

Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniquesSemantic proximity Read

Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniquesSemantic proximity Read

Potential biomarkers for adult acute myeloid leukemia minimal residual disease assessment searched by serum peptidome profilingSemantic proximity Read

[Predictive Value of Acute Phase Proteins on the Prognosis of Patients with Acute Myeloid Leukemia].Semantic proximity Read

AI-based Cancer Models for Prediction of Antibody-Drug Conjugate (ADC) Response in OncologySemantic proximity Read

Precision oncology for acute myeloid leukemia using a knowledge bank approachSemantic proximity Read