A review on nature-inspired algorithms for cancer disease prediction and classification

A Yaqoob, RM Aziz, NK Verma, P Lalwani, A Makrariya… - Mathematics, 2023 - mdpi.com
In the era of healthcare and its related research fields, the dimensionality problem of high-
dimensional data is a massive challenge as it is crucial to identify significant genes while …

XGBoost-based simple three-item model accurately predicts outcomes of acute ischemic stroke

CC Chung, ECY Su, JH Chen, YT Chen, CY Kuo - Diagnostics, 2023 - mdpi.com
An all-inclusive and accurate prediction of outcomes for patients with acute ischemic stroke
(AIS) is crucial for clinical decision-making. This study developed extreme gradient boosting …

Military vehicle object detection based on hierarchical feature representation and refined localization

Y Ouyang, X Wang, R Hu, H Xu, F Shao - IEEE Access, 2022 - ieeexplore.ieee.org
Military vehicle object detection technology in complex environments is the basis for the
implementation of reconnaissance and tracking tasks for weapons and equipment, and is of …

Pilot study of combination gemogenovatucel-T (Vigil) and durvalumab in women with relapsed BRCA-wt triple-negative breast or ovarian cancer

M Barve, P Aaron, L Manning… - Clinical Medicine …, 2022 - journals.sagepub.com
Background: Gemogenovatucel-T (Vigil) is a triple-function autologous tumor cell
immunotherapy which expresses granulocyte-macrophage colony-stimulating factor and …

A new treatment for breast cancer using a combination of two drugs: AZD9496 and palbociclib

O Nave, Y Shor, R Bar, EE Segal, M Sigron - Scientific Reports, 2024 - nature.com
In this study, we examined a mathematical model of breast cancer (BC) treatment that
combines an oral oestrogen receptor inhibitor, AZD9496 with Palbociclib, a selective …

Review of intelligent algorithms for breast cancer control: A Latin America perspective

JM Valencia-Moreno… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Breast cancer in women is a worldwide health problem that is one of the main causes of
death. This situation is accentuated in Latin America and the Caribbean countries, where …

[HTML][HTML] Optimizing cancer therapy for individuals based on tumor-immune-drug system interaction

X Chen, T Li, W Cao - Mathematical Biosciences and Engineering, 2023 - aimspress.com
Chemotherapy is a crucial component of cancer therapy, albeit with significant side effects.
Chemotherapy either damages or inhibits the immune system; therefore, its efficacy varies …

Deep Learning Approach for Quantification of Fluorescently Labeled Blood Cells in Danio rerio (Zebrafish)

S Thapa, DL Stachura - Bioinformatics and Biology Insights, 2021 - journals.sagepub.com
Neutrophils are a type of white blood cell essential for the function of the innate immune
system. To elucidate mechanisms of neutrophil biology, many studies are performed in …

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review

L Mao, H Wang, LS Hu, NL Tran, PD Canoll… - arXiv preprint arXiv …, 2024 - arxiv.org
Cancer remains one of the most challenging diseases to treat in the medical field. Machine
learning has enabled in-depth analysis of rich multi-omics profiles and medical imaging for …

A new operational matrix method to solve nonlinear fractional differential equations

M Hedayati, R Ezzati - Nonlinear Engineering, 2024 - degruyter.com
This study aims to propose novel Zernike wavelets and a new method based on the
operational matrices for solving nonlinear fractional differential equations. First, non …