Latest AI and machine learning research in leukemia for healthcare professionals.
Robot-assisted gait training following acute stroke could allow patients with severe disability to r...
Minimal residual disease (MRD) as measured by multiparameter flow cytometry (FCM) is an independent ...
Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that performs ...
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within...
In this work, random forest (RF), support vector machine, k-nearest neighbor and C4.5 decision tree,...
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) su...
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neura...
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature...
The question of whether ultrasound point shear wave elastography can differentiate renal cell carcin...
Quantitative structure-activity relationships (QSAR) are introduced to predict acute oral toxicity (...
Chronic pharyngitis is a common disease, which has a long duration and a wide range of onset. It is ...
Software implementations of brain-inspired computing underlie many important computational tasks, fr...
Biological tumour volume (GTV) delineation on F-FDG PET acquired during induction chemotherapy (ICT)...
This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing machine lea...
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The go...
Numerous models have investigated cancer behavior by considering different factors in chemotherapy. ...
KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile inject...
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosar...
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with comput...
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an importa...
BACKGROUND: Although software tools abound for the comparison, analysis, identification, and classif...