Tag: predictive modeling in oncology

A machine-learning model based on six serum proteins diagnosed esophageal squamous cell carcinoma with AUCs of 0.932 and 0.968 in ...

A retrospective Chinese cohort study found that perineural invasion in resected colorectal cancer was independently associated with distant metastasis and ...

For women with early-stage cervical cancer, surgery is often just the beginning of treatment. Many patients with stage IB to ...

A machine learning model applied to routine CT urography scans can non-invasively predict HER2 status in bladder cancer, potentially guiding ...

Cellular senescence has long been one of biology's most paradoxical phenomena. In healthy tissue, senescent cells—those that have permanently exited ...

None The distinction between stacking and bagging, the two ensemble paradigms combined in this framework, helps explain why assigning them ...

Cancer-related fatigue is one of the most persistent and disabling consequences of cancer, yet clinicians still have limited tools for ...

At the intersection of oncology and artificial intelligence, researchers at the Medical University of South Carolina’s Hollings Cancer Center have ...

In a groundbreaking advance at the intersection of artificial intelligence and genomics, researchers have unveiled a new dimension in breast ...

In an era where personalized medicine is increasingly reshaping oncology, a groundbreaking study published in Scientific Reports in 2026 unveils ...