Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: Current clinical risk models were developed for longer-term breast cancer risk stratifica...
Circulating cell-free DNA (cfDNA) has attracted increasing attention as a minimally invasive biomark...
T-cell bispecific (TCB) therapies have demonstrated promising therapeutic efficacies for patients wi...
BACKGROUND: Early mortality after long-term care facility (LTCF) admission is common; yet, prognosti...
OBJECTIVES: A narrative review of the literature was carried out in PubMed, Scopus and Web of Scienc...
Progress in neuro-oncology drug development has been slower than the pace of biological discovery, a...
Mechanisms of systemic administration of cytotoxic and immunomodulatory agents are hindered due to p...
The remarkable adaptability of Leishmania throughout its complex life cycle depends on signalling ne...
Glioblastoma remains highly aggressive, with limited treatment response and poor prognosis. Tissue b...
BACKGROUND: Accurate preoperative staging and identification of adverse pathological features in upp...
γδ T cells are becoming increasingly appreciated for their antitumour capacity and role in mediating...
Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and early diagnosis is crit...
Ovarian cancer remains one of the deadliest gynecological malignancies, mainly due to its late diagn...
BACKGROUND: High-dose-rate (HDR) brachytherapy is a widely used treatment modality for breast cancer...
PURPOSE: Artificial intelligence (AI) is increasingly integrated into modern otolaryngology practice...
PURPOSE OF REVIEW: Nasopharyngeal carcinoma (NPC) is a malignant tumor characterized by a distinct g...
BACKGROUND: Breast cancer, the most common malignancy among women, remains a major global public hea...
Homologous recombination deficiency (HRD) in colorectal cancer (CRC) remains largely unexplored. In ...
Accurate survival prediction in cancer remains challenging due to the sparsity of somatic mutation p...
Objective: To develop an artificial intelligence model based on electronic nasopharyngolaryngoscopic...
Objective: To investigate the value of a pretreatment magnetic resonance imaging (MRI)-based deep le...