Quantitative Analysis of Hematopoietic and Leukemic Stem Cell Dynamics in Acute Myeloid Leukemia: A Mathematical Approach

This study aims to unravel the growth dynamics of hematopoietic and leukemic stem cells within the bone marrow, viewing them as a complex network of interconnected compartments representing distinct stages of cellular differentiation. Leveraging insights from established models of cancer cell growth, we have undertaken a comprehensive re-examinations and reinterpretation of some classical growth models, subsequently reformulating them into a fractional order derivative-based framework. Employing this innovative approach, we have delved into the intricate interplay between self-renewal and proliferation rates across diverse sub-stages of cellular differentiation. Our investigations illuminate the nuanced regulatory mechanisms governing stem cell dynamics, offering significant insights into the pathophysiology of hematopoietic disorders, notably acute myeloid leukemia.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Published
2024-09-23
DOI
https://doi.org/10.47191/ijmcr/v12i9.02
Primary Topic
Chronic Myeloid Leukemia Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Analysis of Hematopoietic and Leukemic Stem Cell Dynamics in Acute Myeloid Leukemia: A Mathematical Approach

Sapna Ratan Shah, Ashik Babu Parambath, Kavita Arora
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH
Chronic Myeloid Leukemia Treatments
article

Quantitative Analysis of Hematopoietic and Leukemic Stem Cell Dynamics in Acute Myeloid Leukemia: A Mathematical Approach

Sapna Ratan Shah, Ashik Babu Parambath, Kavita Arora
article en

Abstract

This study aims to unravel the growth dynamics of hematopoietic and leukemic stem cells within the bone marrow, viewing them as a complex network of interconnected compartments representing distinct stages of cellular differentiation. Leveraging insights from established models of cancer cell growth, we have undertaken a comprehensive re-examinations and reinterpretation of some classical growth models, subsequently reformulating them into a fractional order derivative-based framework. Employing this innovative approach, we have delved into the intricate interplay between self-renewal and proliferation rates across diverse sub-stages of cellular differentiation. Our investigations illuminate the nuanced regulatory mechanisms governing stem cell dynamics, offering significant insights into the pathophysiology of hematopoietic disorders, notably acute myeloid leukemia.

INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCHVol. 12(09)
Jawaharlal Nehru University (IN)
Openalex Percentile: Top 75%
Chronic Myeloid Leukemia Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantitative Analysis of Hematopoietic and Leukemic Stem Cell Dynamics in Acute Myeloid Leukemia: A Mathematical Approach — Sapna Ratan Shah, Ashik Babu Parambath, et al. · INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH (2024) | TGRS Research Map | TGRS