AIMC Topic: Leukemia

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Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis.

EBioMedicine Dec 24, 2024
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) algorithms have shown great promise in clinical medicine. Despite the increasing number of published algorithms, most remain unvalidated in real-world clinical settings. This study ai...
Humans Machine Learning Algorithms ROC Curve Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia Computer Simulation Leukemia, Myeloid, Acute Diagnosis, Computer-Assisted
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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Leukemia research Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Adolescent Child, Preschool Child Leukemia, Myeloid, Acute Male Middle Aged Hematopoietic Stem Cell Transplantation Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma Treatment Outcome Follow-Up Studies Graft vs Host Disease Retrospective Studies Female Aged Young Adult Adult Survival Rate Humans Machine Learning Prognosis Leukemia
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Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning.

Cancer science Nov 18, 2024
Leukemia is highly heterogeneous, meaning that different types of leukemia require different treatments and have different prognoses. Current clinical diagnostic and typing tests are complex and time-consuming. In particular, all of these tests rely ...
Leukemia, Promyelocytic, Acute Single-Cell Analysis Humans Leukocytes Deep Learning Leukemia
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Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenotyping.

Talanta Nov 2, 2024
The disease progression and treatment options of leukemia between different subtypes vary considerably, emphasizing the importance of phenotyping. However, early typing of leukemia remains challenging due to the lack of highly sensitive and specific ...
K562 Cells Lab-On-A-Chip Devices Leukemia Humans Algorithms Machine Learning Phenotype Spectrum Analysis, Raman
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Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning.

Scientific reports Sep 18, 2024
Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs (white blood cells) in the bone marrow of the human body. Blood-forming tissue cancer influences the lymphatic and bone marrow system. The early diagnosis and dete...
Humans Deep Learning Image Processing, Computer-Assisted Leukemia Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted
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Prediction of leukemia peptides using convolutional neural network and protein compositions.

BMC cancer Jul 26, 2024
Leukemia is a type of blood cell cancer that is in the bone marrow's blood-forming cells. Two types of Leukemia are acute and chronic; acute enhances fast and chronic growth gradually which are further classified into lymphocytic and myeloid leukemia...
Neural Networks, Computer Peptides ROC Curve Leukemia Humans
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Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework.

Sensors (Basel, Switzerland) Jul 8, 2024
Acute lymphoblastic leukemia, commonly referred to as ALL, is a type of cancer that can affect both the blood and the bone marrow. The process of diagnosis is a difficult one since it often calls for specialist testing, such as blood tests, bone marr...
Leukemia Image Processing, Computer-Assisted Internet of Things Precursor Cell Lymphoblastic Leukemia-Lymphoma Artificial Intelligence Algorithms Humans Deep Learning Neural Networks, Computer
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Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network.

Scientific reports Jul 7, 2024
Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests and medical experts, is costly and time-consuming. ...
Machine Learning Algorithms Humans Hematologic Neoplasms Gene Expression Profiling Leukemia Neural Networks, Computer Supervised Machine Learning Oligonucleotide Array Sequence Analysis
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Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition.

Scientific reports Jul 4, 2024
The diagnosis of leukemia is a serious matter that requires immediate and accurate attention. This research presents a revolutionary method for diagnosing leukemia using a Capsule Neural Network (CapsNet) with an optimized design. CapsNet is a cuttin...
Image Processing, Computer-Assisted Leukemia Machine Learning Humans Algorithms Neural Networks, Computer Databases, Factual
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Machine learning-based model for predicting outcomes in cerebral hemorrhage patients with leukemia.

European journal of radiology Jun 1, 2024
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) in leukemia patients progresses rapidly with high mortality. Limited data are available on imaging studies in this population. The study aims to develop prediction models for 7-day and short-term ...
Aged Predictive Value of Tests Retrospective Studies Humans Tomography, X-Ray Computed Leukemia Adult Middle Aged Machine Learning Male Female Adolescent Prognosis Cerebral Hemorrhage
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