Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: Erectile dysfunction (ED) is a condition of insufficient penile erection, consistently or...
Bladder cancer is a common and heterogeneous disease that poses a significant burden to the patient ...
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the q...
Proteins play a crucial role in many biological processes, where their interaction with other protei...
Cancer continues to affect underserved populations disproportionately. Novel optical imaging technol...
The present study presents an alternative analytical workflow that combines mid-infrared (MIR) micro...
The manual examination of blood and bone marrow specimens for leukemia patients is time-consuming an...
BACKGROUND: In those receiving chemotherapy, renal and hepatic dysfunction can increase the risk of ...
OBJECTIVE: This study aims to develop a risk prediction model for chemotherapy-induced nausea and vo...
This investigation aimed to assess the effectiveness of different classification models in diagnosin...
Substantial progress has been made in using deep learning for cancer detection and diagnosis in medi...
BACKGROUND: In dealing with familial cancer risk, seeking web-based health information can be a copi...
Over the past few years, developments in artificial intelligence (AI), especially in radiomics and d...
This study aimed to investigate the efficacy and safety of robot-assisted radical cystectomy (RARC)...
OBJECTIVE: To develop and independently externally validate robust prognostic imaging biomarkers dis...
Supranucleosomal chromatin structure, including chromatin domain conformation, is involved in the re...
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy...
We demonstrate that isomorphically mapping gray-level medical image matrices onto energy spaces unde...
Accurate prediction of cancer drug response (CDR) is a longstanding challenge in modern oncology tha...
PURPOSE: Prognostic prediction is crucial to guide individual treatment for locoregionally advanced ...
PURPOSE: The large variability in tumor appearance and shape makes manual delineation of the clinica...