Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Parkinson's disease (PD) exhibits substantial heterogeneity in clinical presentation and...
PURPOSE: Multimodal large language models (LLMs) offer emerging capabilities in medical image interp...
The vast combinatorial space of metal-organic frameworks (MOFs) has led to their widespread consider...
PURPOSE: Computational pathology has emerged as an attractive option for improving risk stratificati...
BACKGROUND: Telomeres, located at chromosome ends, regulate cell division and maintain genomic stabi...
PURPOSE OF REVIEW: This review aims to synthesize and critically appraise the most impactful advance...
BACKGROUND: Ovarian cancer (OC) is a highly aggressive malignancy with poor prognosis and limited re...
BACKGROUND: Breast cancer is the most frequently diagnosed cancer among women. Accurate diagnosis an...
The purpose of this investigation is to assess the outcome of Oxytactic microorganism in chemical re...
Distant metastasis (DM) is the primary driver of cancer-related mortality, and its clinical predicti...
The tumor microenvironment (TME) contains important morphological and molecular cues that help deter...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with poor survival rate...
First-in-class (FIC) oncology drugs-defined by their novel mechanisms of action or targeting of prev...
Risk stratification is an important tool in clinical decision-making, yet current approaches often f...
Accurate prediction of recurrence risk is essential to devise effective and personalized treatment s...
Breast cancer is associated mostly with women; however, breast cancer also appears in men, which dic...
CONTEXT.—: Artificial intelligence (AI) has demonstrated high accuracy in detecting lymph node (LN) ...
The landscape of gastric cancer surgery has undergone remarkable transformation, evolving from tradi...
BACKGROUND: Esophageal adenocarcinoma (EAC) is a highly aggressive malignancy with poor prognosis, o...
The century-old vision of a "magic bullet" in oncology is being realized through the paradigm of pre...
Spatial transcriptomics provides high-throughput measurement of gene expression while retaining spat...