Resistance to tyrosine kinase inhibitors in chronic myeloid leukemia—from molecular mechanisms to clinical relevance

R Alves, AC Gonçalves, S Rutella, AM Almeida… - Cancers, 2021 - mdpi.com
Simple Summary Chronic myeloid leukemia (CML) is a myeloproliferative neoplasia
associated with a molecular alteration, the fusion gene BCR-ABL1, that encodes the tyrosine …

[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects

Y El Alaoui, A Elomri, M Qaraqe… - Journal of Medical …, 2022 - jmir.org
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 …

Machine learning-based clinical decision support using laboratory data

HC Çubukçu, Dİ Topcu, S Yenice - Clinical Chemistry and Laboratory …, 2024 - degruyter.com
Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia

M Shanbehzadeh, MR Afrash, N Mirani… - BMC Medical Informatics …, 2022 - Springer
Introduction Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from
the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of …

The Association between Blood Test Trends and Undiagnosed Cancer: A Systematic Review and Critical Appraisal

PS Virdee, KK Collins, C Friedemann Smith, X Yang… - Cancers, 2024 - mdpi.com
Simple Summary Blood tests are commonly requested by doctors. Blood tests are done for
many reasons and invesitgating symptoms or monitoring existing conditions are just …

Design and development of an intelligent system for predicting 5-year survival in gastric cancer

MR Afrash, M Shanbehzadeh… - Clinical Medicine …, 2022 - journals.sagepub.com
Background: Gastric cancer remains one of the leading causes of worldwide cancer-specific
deaths. Accurately predicting the survival likelihood of gastric cancer patients can inform …

Applications of machine learning in chronic myeloid leukemia

M Elhadary, AA Elsabagh, K Ferih, B Elsayed… - Diagnostics, 2023 - mdpi.com
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by
dysregulated growth and the proliferation of myeloid cells in the bone marrow caused by the …

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

A Balagopalan, I Baldini, LA Celi, J Gichoya… - PLOS Digital …, 2024 - journals.plos.org
Despite significant technical advances in machine learning (ML) over the past several years,
the tangible impact of this technology in healthcare has been limited. This is due not only to …

Artificial Intelligence-Based Management of Adult Chronic Myeloid Leukemia: Where Are We and Where Are We Going?

S Bernardi, M Vallati, R Gatta - Cancers, 2024 - mdpi.com
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 …

Higher prevalence of harbouring BCR::ABL1 in first-degree relatives of chronic myeloid leukaemia (CML) patients compared to normal population

JW Kuan, AT Su, SP Sim, SP Tay - BMC cancer, 2024 - Springer
Background The role of familial influence in chronic myeloid leukaemia (CML) occurrence is
less defined. Previously, we conducted a study to determine the prevalence of harbouring …