[HTML][HTML] Curcumin and its novel formulations for the treatment of hepatocellular carcinoma: new trends and future perspectives in cancer therapy
SM Meybodi, P Rezaei, N Faraji… - Journal of Functional …, 2023 - Elsevier
Hepatocellular carcinoma (HCC), as a common malignancy of the liver, is the second
leading cause of cancer-related death in the world and mostly occurs in patients with a …
leading cause of cancer-related death in the world and mostly occurs in patients with a …
Optimizing classification of diseases through language model analysis of symptoms
This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …
automating disease prediction from symptoms. Specifically, we explored the use of two …
A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
Cancer is becoming the most toxic ailment identified among individuals worldwide. The
mortality rate has been increasing rapidly every year, which causes progression in the …
mortality rate has been increasing rapidly every year, which causes progression in the …
[HTML][HTML] Integrating Differential Evolution into Gazelle Optimization for advanced global optimization and engineering applications
S Biswas, G Singh, B Maiti, AES Ezugwu… - Computer Methods in …, 2025 - Elsevier
Abstract The Gazelle Optimization Algorithm (GOA) is an innovative metaheuristic inspired
by the survival tactics of gazelles in predator-rich environments. While GOA demonstrates …
by the survival tactics of gazelles in predator-rich environments. While GOA demonstrates …
Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
Heart disease is a category of various conditions that affect the heart, which includes
multiple diseases that influence its structure and operation. Such conditions may consist of …
multiple diseases that influence its structure and operation. Such conditions may consist of …
Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification
Lung cancer is an important global health problem, and it is defined by abnormal growth of
the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its …
the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its …
EEG-based optimization of eye state classification using modified-BER metaheuristic algorithm
This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to
improve the precision of categorizing eye states as either open (0) or closed (1). The …
improve the precision of categorizing eye states as either open (0) or closed (1). The …
Orthopedic disease classification based on breadth-first search algorithm
AM Elshewey, AM Osman - Scientific Reports, 2024 - nature.com
Orthopedic diseases are widespread worldwide, impacting the body's musculoskeletal
system, particularly those involving bones or hips. They have the potential to cause …
system, particularly those involving bones or hips. They have the potential to cause …
Optimizing poultry audio signal classification with deep learning and burn layer fusion
This study introduces a novel deep learning-based approach for classifying poultry audio
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …
signals, incorporating a custom Burn Layer to enhance model robustness. The methodology …
A fast-flying particle swarm optimization for resolving constrained optimization and feature selection problems
Abstract Particle Swarm Optimization (PSO) is popular because of its ease of use and few
parameter tunings. Also, updating particle velocity using the global and particles' personal …
parameter tunings. Also, updating particle velocity using the global and particles' personal …