Latest AI and machine learning research in leukemia for healthcare professionals.
Emerging evidence highlights RNA N6-methyladenosine (m6A) modifications as pivotal regulators of tum...
Leukemia is a significant clinical issue, and some of its subtypes are characterized by dysregulated...
The typical objective of genomic analyses is to assess additive genetic variance in traits. However,...
OBJECTIVES: To develop and externally validate a computed tomography (CT)-based multitask learning m...
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which...
Acute Lymphoblastic Leukemia (ALL) is a dangerous form of leukemia, which disturbs the bone marrow a...
Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This rev...
Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells,...
The treatment of hypopharyngeal cancer faces complex challenges, and accurate prediction of chemothe...
OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic ...
Fine-tuned REINVENT generative model integrated with structure- and ligand-based computational appro...
BACKGROUND: Non-small cell lung cancer (NSCLC) patients undergoing neoadjuvant chemotherapy (NACT) f...
BACKGROUND: Swallowing dysfunction is a common consequence of neurological disorders such as stroke,...
BACKGROUND: Predicting mortality in chronic obstructive pulmonary disease (COPD) patients supports c...
OBJECTIVES: To assess treatment response in osteosarcoma, two automated convolutional neural network...
BACKGROUND AND AIMS: Histological grading of renal cell carcinoma (RCC) is an important part of diag...
Algorithmic decision support is rapidly becoming a staple of personalized medicine, particularly for...
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions gov...
PURPOSE: To develop and validate an AI method for automated quantification of whole-skeleton bone ma...
Single-cell genomic technologies are transforming insect science, shifting the field from basic desc...
OBJECTIVE: Treatment decision-making for non-small cell lung cancer (NSCLC) is complex, necessitatin...