Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radia...
OBJECTIVE: This study aimed to identify and analyze immunogenic cell death (ICD)-related multi-omics...
OBJECTIVE: This study explored the capabilities of large language models (LLMs) GPT-3.5, GPT-4, and ...
Background This investigation delves into the potential application of data-driven survival modeling...
Meta-analysis and machine learning is used to investigate factors influencing variation in biomass p...
BACKGROUND: The extension of onboard cone-beam CT (CBCT) imaging for real-time treatment planning is...
The diagnosis and prognosis of Primary Central Nervous System Lymphoma (PCNSL) present significant c...
To identify the molecular targets and possible mechanisms of isoliquiritigenin (ISO) in affecting ch...
BACKGROUND: Mitotic catastrophe is well-known as a major pathway of endogenous tumor death, but the ...
Multiple machine learning techniques were employed to identify key long non-coding RNA (lncRNA) biom...
OBJECTIVE: This study aims to investigate the ability of ChatGPT to generate reliably accurate respo...
Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...
PURPOSE: Dynamic Spot-scanning Proton Arc (SPArc) therapy has gained attention for enhancing dosimet...
Cancer continues to be among the most substantial health challenges globally. Among various natural ...
OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with ...
As a newly discovered histone modification, abnormal lactation has been found to be present in and c...
Major depressive disorder (MDD) is a multifactorial disorder involving genetic and environmental fac...
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, estab...
The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its ...
RATIONALE AND OBJECTIVES: The research aims to examine how CT-derived habitat radiomics can be used ...
OBJECTIVES: To evaluate the role of multimodal magnetic resonance imaging radiomics features in pred...