Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Kidney renal clear cell carcinoma (KIRC), as a common case in renal cell carcinoma (RCC)...
BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...
OBJECTIVES: This study aimed to explore the value of an artificial intelligence (AI)-assisted diagno...
This study introduces a sophisticated computational pipeline, , designed for the discovery of antiv...
BACKGROUND: Achieving endoscopic and histological remission is a critical treatment objective in ulc...
The use of non-invasive tools in conjunction with artificial intelligence (AI) to detect diseases ha...
Thyroid cancer, a prevalent form of endocrine malignancy, has witnessed a substantial increase in oc...
OBJECTIVES: To establish deep learning models for malignancy risk estimation of sub-centimeter pulmo...
Since US Food and Drug Administration approval of programmed death ligand 1 (PD-L1) as the first com...
Mangiferin (MGF) is a phenolic compound, which is a major source of MGF is the mango tree. MGF posse...
In this article, the optimal control strategy for organism is investigated by using the adaptive dyn...
In the present study, the in vitro antiproliferative effect of targeting highly expressed cancer pro...
To accommodate waning COVID-19 vaccine immunity to emerging SARS-CoV-2 variants, variant-adapted mRN...
Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral res...
Brain tumors result from uncontrolled cell growth, potentially leading to fatal consequences if left...
We aimed to develop prediction models for clinical remission associated with adalimumab treatment in...
Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression...
Artificial intelligence/machine learning tools are being created for use in pathology. Some examples...
Drug repositioning plays a key role in disease treatment. With the large-scale chemical data increas...
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the...
PURPOSE: This retrospective study aimed to compare clinical outcomes and dosimetric parameters betwe...