Latest AI and machine learning research in chemotherapy for healthcare professionals.
BACKGROUND: Despite known clinical risk factors, predicting anthracycline cardiotoxicity remains cha...
Cancer chemotherapy responses have been related to multiple pharmacogenetic biomarkers, often for th...
This study aimed to investigate the predictive efficacy of positron emission tomography/computed tom...
Oxazines and their derivatives are an uncommon natural heterocyclic compounds, which contain oxygen ...
PURPOSE: The purpose of this study was to develop and validate a deep learning (DL)-based radiomics ...
It is of interest to study the cytotoxicity of silibinin assisted silver nanoparticles in human colo...
STUDY OBJECTIVE: Compare survival of patients with advanced epithelial ovarian cancer (EOC) undergoi...
A 29-yr-old male Melicopter co-pilot with high flight hours in air transport missions of the patient...
BACKGROUND: Objectives were to build a machine learning algorithm to identify bloodstream infection ...
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and inve...
Systemic chemotherapy remains the backbone of many cancer treatments. Due to its untargeted nature a...
IMPORTANCE: Postoperative chemoradiation is the standard of care for cancers with positive margins o...
INTRODUCTION: The aim of this study was to investigate whether postmenopausal women with breast canc...
Halloysite nanotubes (HNTs) have been increasingly used in many industrial and biomedical fields. Th...
BACKGROUND: To use clinical and MRI radiomic features coupled with machine learning to assess HER2 e...
In breast cancer, undetected lymph node metastases can spread to distal parts of the body for which ...
This paper describes a methodology that extracts key morphological features from histological breast...
BACKGROUND AND OBJECTIVES: One of the challenges in developing effective hair loss therapies is the ...
Some patients with acromegaly do not reach the remission standard in the short term after surgery b...
BACKGROUND: Deep learning is promising to predict treatment response. We aimed to evaluate and valid...
Improved drug loading content, bioavailability, and controlled release in targeted tissue have been ...