The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …

Purpose Identifying cancer nursing research priorities is central to influencing the direction
of cancer care research. The aim of this rapid review was to explore research priorities …

Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …

In this review we explore innovative approaches in the treatment of hematologic cancers by
combining various therapeutic modalities. We discuss the synergistic potential of combining …

The retina is a vulnerable structure that is frequently affected by different systemic
conditions. The main mechanisms of systemic retinal damage are either primary insult of …

Reliable and rapid medical diagnosis is the cornerstone for improving the survival rate and
quality of life of cancer patients. The problem of clinical decision-making pertaining to the …

Traditional drug discovery often involves laborious and time-consuming processes.
However, emerging artificial intelligence (AI)-based models offer new ways to expedite the …

Cancer treatment is one of the fundamental challenges in clinical setting, especially in
relapsed/refractory malignancies. The novel immunotherapy-based treatments bring new …

The incidence of acute myeloid leukemia (AML) is increasing annually, and timely
diagnostic and treatments can substantially improve patient survival rates. AML ty** …

Cancer was until recently considered a homogenous disease with clearly defined
boundaries based on the organ involved and the TNM stage of a tumour. Current challenges …