Latest AI and machine learning research in oncology/hematology for healthcare professionals.
We tested whether machine-learning algorithm could find biomarkers predicting overall survival in b...
Triple negative (TN) breast cancer is a subtype of breast cancer which is difficult for early detect...
Training a neural network with a large labeled dataset is still a dominant paradigm in computational...
BACKGROUND: Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of mali...
Leukemia is usually diagnosed by viewing the smears of blood and bone marrow using microscopes and c...
Invasive ductal carcinoma (IDC) breast cancer is a significant health concern for women all around t...
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and ide...
The study aimed to analyze potential prognostic factors in patients treated with robotic radiosurger...
Cancer is a complicated worldwide health issue with an increasing death rate in recent years. With t...
The diversification of the characteristic sequences of anti-cancer peptides has imposed difficulties...
BACKGROUND: At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. Afte...
Breast cancer among women is the second most common cancer worldwide. Non-invasive techniques such a...
OBJECTIVES: Multimodal kidney-preserving (MKP) strategies may be an option for patients with localis...
OBJECTIVE: Artificial intelligence (AI) has facilitated the analysis of medical imaging given increa...
Toll-like receptor (TLR)-4 and TLR9 are known to play important roles in the immune system, and seve...
The information captured by the gist signal, which refers to radiologists' first impression arising ...
Colorectal cancer is a high death rate cancer until now; from the clinical view, the diagnosis of th...
Celep & Doğan is an endemic species of Turkey. To our knowledge, the number of studies on biologica...
The expression of the proinflammatory cytokine tumor necrosis factor-α (TNF-α) is associated with pr...
BACKGROUND: The accuracy of estimating microvascular invasion (MVI) preoperatively in hepatocellular...
OBJECTIVES/HYPOTHESIS: To develop a deep-learning-based automatic diagnosis system for identifying n...