Targeting inflammation as cancer therapy

M Wang, S Chen, X He, Y Yuan, X Wei - Journal of Hematology & …, 2024 - Springer
Inflammation has accompanied human beings since the emergence of wounds and
infections. In the past decades, numerous efforts have been undertaken to explore the …

Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare

M Samiei, A Hassani, S Sarspy, IE Komari… - Journal of Cancer …, 2023 - Springer
Background and objectives Skin conditions in humans can be challenging to diagnose. Skin
cancer manifests itself without warning. In the future, these illnesses, which have been an …

The nexus of inflammation-induced epithelial-mesenchymal transition and lung cancer progression: a roadmap to pentacyclic triterpenoid-based therapies

KV Odarenko, MA Zenkova, AV Markov - International Journal of …, 2023 - mdpi.com
Lung cancer is the leading cause of cancer-related death worldwide. Its high mortality is
partly due to chronic inflammation that accompanies the disease and stimulates cancer …

A novel machine learning approach on texture analysis for automatic breast microcalcification diagnosis classification of mammogram images

ZM Sarvestani, J Jamali, M Taghizadeh… - Journal of Cancer …, 2023 - Springer
Purpose Screening programs use mammography as a diagnostic tool for the early detection
of breast cancer. Mammogram enhancement is used to increase the local contrast of the …

[HTML][HTML] Microsomal prostaglandin E synthase-1 inhibition promotes shunting in arachidonic acid metabolism during inflammatory responses in vitro

J Liu, B Peng, J Steinmetz-Späh, H Idborg… - Prostaglandins & Other …, 2023 - Elsevier
Abstract Microsomal Prostaglandin E Synthase 1 (mPGES-1) is the key enzyme for the
generation of the pro-inflammatory lipid mediator prostaglandin E 2 (PGE 2), which …

Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning

K Mowlani, M Jafari Shahbazzadeh… - Journal of Cancer …, 2023 - Springer
Purpose Brain tumors are among the most lethal forms of cancer, so early diagnosis is
crucial. As a result of machine learning algorithms, radiologists can now make accurate …

Chromatin gatekeeper and modifier CHD proteins in development, and in autism and other neurological disorders

T Muhammad, SF Pastore, K Good, J Ausió… - Psychiatric …, 2023 - journals.lww.com
Chromatin, a protein–DNA complex, is a dynamic structure that stores genetic information
within the nucleus and responds to molecular/cellular changes in its structure, providing …

The Activation of PPARγ by (2Z, 4E, 6E)-2-methoxyocta-2, 4, 6-trienoic Acid Counteracts the Epithelial–Mesenchymal Transition Process in Skin Carcinogenesis

E Flori, S Mosca, G Cardinali, S Briganti, M Ottaviani… - Cells, 2023 - mdpi.com
Cutaneous squamous cell carcinoma (cSCC) is the most common UV-induced keratinocyte-
derived cancer, and its progression is characterized by the epithelial–mesenchymal …

A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition

M Hamian, K Faez, S Nazari, M Sabeti - The Journal of Supercomputing, 2023 - Springer
Here, a new layered spiking neural network (SNN) learning framework is proposed using
optimization algorithms for rapid and efficient pattern recognition and classification. In …

Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction

H Khezripour, SP Mozaffari, M Reshadi… - Biomedical Physics & …, 2023 - iopscience.iop.org
Arrhythmias using electrocardiogram (ECG) signal is important in medical and computer
research due to the timely diagnosis of dangerous cardiac conditions. The current study …