Latest AI and machine learning research in chemotherapy for healthcare professionals.
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cance...
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...
Specimen pathology findings collectively impact the long-term outcomes of robot-assisted laparoscop...
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and f...
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment ...
This report describes the first application of the novel NMR-based machine learning tool "Small Mole...
The aim of this study is to explore the feasibility of using machine learning (ML) technology to pre...
BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 2...
Xuetonglactones A-F (-), six unreported highly oxidized lanostane- and cycloartane-type triterpenoid...
Infections have become the major cause of morbidity and mortality among patients with chronic lympho...
BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the patho...
The apicomplexan parasite () causes toxoplasmosis in humans. Pyrimethamine and sulfadiazine that ar...
Storey onion (Allium cepa L. var. proliferum Regel) is a variety of onion commonly grown in northern...
The present study aimed to explore the anticancer potentials of the gold nanoparticles (NPs) obtaine...
OBJECTIVE: Medullary thyroid carcinoma, a rare form of thyroid cancer, is typically managed with sur...
BACKGROUND: Ultrasound guidance has dramatically improved the accuracy of nerve localization, and va...
Methotrexate (MTX) as a chemotherapeutic agent, has adverse effects on reproductive organs by enhanc...
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifi...
is an opportunistic agent that can cause a variety of infections, both hospital and community-acqui...
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for ...