Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …

The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …

The early identification and diagnosis of leukemia, ie, the exact distinction of malignant
leukocytes at the lowest possible cost in the early stages of the disease, is a key challenge …

Acute lymphoblastic leukemia (ALL) is considered the most fatal form of leukemia (also
known as blood cancer). It propagates quickly among adults and children and could lead to …

Accurate reservoir permeability determination is crucial in hydrocarbon exploration and
production. Conventional methods relying on empirical correlations and assumptions often …

Background The emergence of artificial intelligence (AI) tools such as ChatGPT and Bard is
disrupting a broad swathe of fields, including medicine. In pediatric medicine, AI is also …

Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by numerous
immature lymphocytes. Even though automation in ALL prognosis is an essential aspect of …

Abstract Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the
presence of excess immature lymphocytes., Even though automation in ALL prognosis is …

The requirement to manage complicated nonlinear systems with high uncertainty is one of
the main drivers of progress in the identification and control discipline. Since most of the …