AIMC Topic: Hematologic Neoplasms
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Machine learning in paediatric haematological malignancies: a systematic review of prognosis, toxicity and treatment response models.
Pediatric research
Aug 31, 2024
BACKGROUND: Machine Learning (ML) has demonstrated potential in enhancing care in adult oncology. However, its application in paediatric haematological malignancies is still emerging, necessitating a comprehensive review of its capabilities and limit...
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. ...
A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach.
Scientific reports
Jun 13, 2024
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients with hematological malignancies. However, some concerns remain that they may cause serious cardiovascular adverse events (AEs), for which data are scar...
An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia.
EBioMedicine
May 28, 2024
BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and diagnostic data, like drug responses and measurable residual disease, creates challenges for efficient clinical comprehension and interpretation. Using ...
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives.
Artificial intelligence in medicine
Apr 21, 2024
Hematology is the study of diagnosis and treatment options for blood diseases, including cancer. Cancer is considered one of the deadliest diseases across all age categories. Diagnosing such a deadly disease at the initial stage is essential to cure ...
Robot therapy aids mental health in patients with hematological malignancy during hematopoietic stem cell transplantation in a protective isolation unit.
Scientific reports
Feb 27, 2024
Patients with hematological malignancy experience physical and psychological pain, such as a sense of isolation and confinement due to intensive chemotherapy in a protective isolation unit (PIU). We examined whether the intervention of a robotic pupp...
Recommendations for using artificial intelligence in clinical flow cytometry.
Cytometry. Part B, Clinical cytometry
Feb 26, 2024
Flow cytometry is a key clinical tool in the diagnosis of many hematologic malignancies and traditionally requires close inspection of digital data by hematopathologists with expert domain knowledge. Advances in artificial intelligence (AI) are trans...
Advances in next-generation sequencing and emerging technologies for hematologic malignancies.
Haematologica
Feb 1, 2024
Innovations in molecular diagnostics have often evolved through the study of hematologic malignancies. Examples include the pioneering characterization of the Philadelphia chromosome by cytogenetics in the 1970s, the implementation of polymerase chai...
Broadening the horizon: potential applications of CAR-T cells beyond current indications.
Frontiers in immunology
Nov 27, 2023
Engineering immune cells to treat hematological malignancies has been a major focus of research since the first resounding successes of CAR-T-cell therapies in B-ALL. Several diseases can now be treated in highly therapy-refractory or relapsed condit...
AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears.
Journal of hematology & oncology
Mar 21, 2023
Acute myeloid leukemia (AML) is a deadly hematological malignancy. Cellular morphology detection of bone marrow smears based on the French-American-British (FAB) classification system remains an essential criterion in the diagnosis of hematological m...
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