The use of intelligent techniques in medicine has brought a ray of hope in terms of treating
leukaemia patients. Personalized treatment uses patient's genetic profile to select a mode of …

Introduction Artificial intelligence (AI) has been applied to a wide range of daily activities to
assist in decision-making. Randomized clinical trials can compare the efficacy of treatment …

In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …

Purpose Many classifier approaches and algorithms are developed in recent days to handle
large dimensionality problems in biomedical data mining and machine learning. The …

The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

Personalized medicine is the approach that tailors the treatment of patients based on their
unique genetic makeup and genetic environment. When equipped with details of individual …

Simple Summary The field of artificial intelligence (AI) is quickly becoming recognized for its
potential to significantly improve medicine. AI is still in its infancy when it comes to treating …

Traditionally, classification of complex genetic diseases such as cancer has been performed
on the basis of nonmolecular criteria such as tumor tissue type, pathological features, and …

Analyzing gene expression profiles (GEP) through artificial intelligence provides meaningful
insight into cancer disease. This study introduces DeepSHAP Autoencoder Filter for Genes …

Although the methods by which leukemia is classified have been improved for effective
therapies, leukemia patients occasionally exhibit diverse, sometimes unpredictable …