Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …

Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have
a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic …

Background and objectives Morphological differentiation among blasts circulating in blood
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …

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 …

The production of blood cells is affected by leukemia, a type of bone marrow cancer or blood
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …

The deep integration of Internet of Medical Things (IoMT) and Artificial intelligence makes
the further development of intelligent medical services possible, but privacy leakage and …

Introduction. Persistent negative mental-emotional experiences and the body's responses to
stress may have a negative impact on physical condition and mental-emotional status of …

Abstract The recently developed International Consensus (IC) classification of hematologic
neoplasms is primarily based on input from clinical advisory committees composed of …

Patients with polycythemia vera (PV) are at significant risk of thromboembolic events (TE).
The PV-AIM study used the Optum® de-identified Electronic Health Record dataset and …

Insight into the critical role of B-cell receptor signaling for the pathogenesis of chronic
lymphocytic leukemia (CLL) led to the development of targeted therapies directed at key …