Latest AI and machine learning research in leukemia for healthcare professionals.
Electronic health records contain patient's information that can be used for health analytics tasks ...
We have designed and developed an effective drug delivery system using biocompatible polymer of poly...
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized ...
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately...
Atomistic machine learning (AML) simulations are used in chemistry at an ever-increasing pace. A lar...
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death ...
We propose computing primitive for an all-optical spiking neural network (SNN) based on vertical-cav...
The antimicrobial nature of silk-fibroin (SF) is reported but antioxidant potential and the immunom...
The majority of anti-cancer drugs fail to reach clinical trials due to their low water solubility. A...
Automated cell classification in cancer biology is a challenging topic in computer vision and machin...
Arthritis patients develop hand bone loss, which leads to destruction and functional impairment of t...
Heterogeneity in cell signaling pathways is increasingly appreciated as a fundamental feature of cel...
Deep generative models, such as variational autoencoders (VAEs) or deep Boltzmann machines (DBMs), c...
(Kakadu plum) is a native Australian fruit consumed by Indigenous Australians for centuries. Commer...
The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as prognost...
In this paper, we introduce a novel algorithm that aims to estimate chromosomes' structure from thei...
Magnetic micro/nanorobots attracted much attention in biomedical fields because of their precise mov...
Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It...
The performance of current machine learning methods to detect heterogeneous pathology is limited by ...
Computational drug repositioning, which is an efficient approach to find potential indications for d...
Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accuratel...