Latest AI and machine learning research in oncology/hematology for healthcare professionals.
RATIONALE AND OBJECTIVES: Breast cancer carries a substantial long-term risk of bone metastasis, whi...
Magnetic Resonance Imaging (MRI) is a key modality in cancer treatment, providing high soft tissue c...
Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and invasive e...
Neoadjuvant chemotherapy (NAC) can eliminate all invasive cancer in some breast cancer patients, ach...
This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer...
BACKGROUND: Emerging evidence indicates the functional importance of the thymus in adult health and ...
Cancer cell lines (CLs) are widely used to study tumor biology and drug response, yet their translat...
Accurate differentiation of BCR::ABL1-negative myeloproliferative neoplasms (MPNs) based on bone mar...
In order to accurately identify tumor boundaries and improve diagnostic efficiency, this study propo...
While precision oncology increasingly adopts tissue-agnostic paradigms, current strategies remain he...
Radiotherapy-triggered drug delivery systems (RDDS) promise to integrate the spatial precision of io...
Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is a common female malignanc...
Gene mutations and chromosome abnormalities are important components of prognostication in acute mye...
BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorde...
OBJECTIVE: To propose a deep multimodal synergistic survival analysis framework (Deep Multimodal Syn...
PURPOSE: Accurate prediction of lymph node metastasis (LNM) remains challenging in early gastric can...
Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells....
Lineage plasticity has emerged as a central mechanism through which cancer cells adapt to therapeuti...
Acute lymphoblastic leukemia (ALL) represents the most common malignancy diagnosed in children, acco...
RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver m...
OBJECTIVES: To conduct a nationwide survey among professionals working in oncology departments in Ch...