Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
<p>Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. Although many patients remain asymptomatic, a subset may exhibit typical...
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| مؤلفون آخرون: | , , , , , , , , , |
| منشور في: |
2023
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| _version_ | 1864513539470786560 |
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| author | Mohamed Elhadary (16329082) |
| author2 | Amgad Mohamed Elshoeibi (17430963) Ahmed Badr (16238297) Basel Elsayed (14614273) Omar Metwally (17430966) Ahmed Mohamed Elshoeibi (17430969) Mervat Mattar (17430972) Khalil Alfarsi (17430975) Salem AlShammari (17430978) Awni Alshurafa (15468195) Mohamed Yassin (4166515) |
| author2_role | author author author author author author author author author author |
| author_facet | Mohamed Elhadary (16329082) Amgad Mohamed Elshoeibi (17430963) Ahmed Badr (16238297) Basel Elsayed (14614273) Omar Metwally (17430966) Ahmed Mohamed Elshoeibi (17430969) Mervat Mattar (17430972) Khalil Alfarsi (17430975) Salem AlShammari (17430978) Awni Alshurafa (15468195) Mohamed Yassin (4166515) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohamed Elhadary (16329082) Amgad Mohamed Elshoeibi (17430963) Ahmed Badr (16238297) Basel Elsayed (14614273) Omar Metwally (17430966) Ahmed Mohamed Elshoeibi (17430969) Mervat Mattar (17430972) Khalil Alfarsi (17430975) Salem AlShammari (17430978) Awni Alshurafa (15468195) Mohamed Yassin (4166515) |
| dc.date.none.fl_str_mv | 2023-09-22T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.blre.2023.101134 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/preprint/Revolutionizing_chronic_lymphocytic_leukemia_diagnosis_A_deep_dive_into_the_diverse_applications_of_machine_learning/24607302 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Cardiovascular medicine and haematology Oncology and carcinogenesis Information and computing sciences Artificial intelligence Machine learning Artificial intelligence Chronic lymphocytic leukemia Diagnosis Machine learning |
| dc.title.none.fl_str_mv | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| dc.type.none.fl_str_mv | Text Preprint info:eu-repo/semantics/publishedVersion text preprint |
| description | <p>Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. Although many patients remain asymptomatic, a subset may exhibit typical lymphoma symptoms, acquired immunodeficiency disorders, or autoimmune complications. Diagnosis involves blood tests showing increased lymphocytes and further examination using peripheral blood smear and flow cytometry to confirm the disease. With the significant advancements in machine learning (ML) and artificial intelligence (AI) in recent years, numerous models and algorithms have been proposed to support the diagnosis and classification of CLL. In this review, we discuss the benefits and drawbacks of recent applications of ML algorithms in the diagnosis and evaluation of patients diagnosed with CLL.</p><h2>Other Information</h2> <p> Published in: Blood Reviews<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.blre.2023.101134" target="_blank">https://dx.doi.org/10.1016/j.blre.2023.101134</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_973f54be98bfe81348e835f08841084c |
| identifier_str_mv | 10.1016/j.blre.2023.101134 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24607302 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learningMohamed Elhadary (16329082)Amgad Mohamed Elshoeibi (17430963)Ahmed Badr (16238297)Basel Elsayed (14614273)Omar Metwally (17430966)Ahmed Mohamed Elshoeibi (17430969)Mervat Mattar (17430972)Khalil Alfarsi (17430975)Salem AlShammari (17430978)Awni Alshurafa (15468195)Mohamed Yassin (4166515)Biomedical and clinical sciencesCardiovascular medicine and haematologyOncology and carcinogenesisInformation and computing sciencesArtificial intelligenceMachine learningArtificial intelligenceChronic lymphocytic leukemiaDiagnosisMachine learning<p>Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. Although many patients remain asymptomatic, a subset may exhibit typical lymphoma symptoms, acquired immunodeficiency disorders, or autoimmune complications. Diagnosis involves blood tests showing increased lymphocytes and further examination using peripheral blood smear and flow cytometry to confirm the disease. With the significant advancements in machine learning (ML) and artificial intelligence (AI) in recent years, numerous models and algorithms have been proposed to support the diagnosis and classification of CLL. In this review, we discuss the benefits and drawbacks of recent applications of ML algorithms in the diagnosis and evaluation of patients diagnosed with CLL.</p><h2>Other Information</h2> <p> Published in: Blood Reviews<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.blre.2023.101134" target="_blank">https://dx.doi.org/10.1016/j.blre.2023.101134</a></p>2023-09-22T06:00:00ZTextPreprintinfo:eu-repo/semantics/publishedVersiontextpreprint10.1016/j.blre.2023.101134https://figshare.com/articles/preprint/Revolutionizing_chronic_lymphocytic_leukemia_diagnosis_A_deep_dive_into_the_diverse_applications_of_machine_learning/24607302CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/246073022023-09-22T06:00:00Z |
| spellingShingle | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning Mohamed Elhadary (16329082) Biomedical and clinical sciences Cardiovascular medicine and haematology Oncology and carcinogenesis Information and computing sciences Artificial intelligence Machine learning Artificial intelligence Chronic lymphocytic leukemia Diagnosis Machine learning |
| status_str | publishedVersion |
| title | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| title_full | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| title_fullStr | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| title_full_unstemmed | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| title_short | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| title_sort | Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning |
| topic | Biomedical and clinical sciences Cardiovascular medicine and haematology Oncology and carcinogenesis Information and computing sciences Artificial intelligence Machine learning Artificial intelligence Chronic lymphocytic leukemia Diagnosis Machine learning |