Latest AI and machine learning research in rheumatoid arthritis for healthcare professionals.
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients ...
This article devotes to the finite-time (FT) input anti-bump switching control (SC) issue for a kind...
PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in rea...
Electronic skins that can sense external stimuli have been of great significance in artificial intel...
Determining sensitive drugs for a patient is one of the most critical problems in precision medicine...
PURPOSE: High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are as...
A generative adversarial autoencoder for the rational design of potential HIV-1 entry inhibitors abl...
The tumor microenvironment (TME) plays a crucial role in cancer progression and recent evidence has ...
() K.D. Koenig (Family Sapindaceae) is a branchless straight bole approximately 15Â m in length. The...
Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accuratel...
Necklace orchids (Coelogyninae, Epidendroideae) have been used in traditional medicine practices for...
The on-going data-science and Artificial Intelligence (AI) revolution offer researchers a fresh set ...
In the context of the recently emerging COVID-19 pandemic, we developed a deep learning model that c...
INTRODUCTION: Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; howeve...
High resolution magnetic resonance (MR) images are desired in many clinical and research application...
In the flourishing field of soft robotics, strategies to embody communication and collective motion ...
Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resist...
The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and trea...
PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automati...
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging ...
Advances in deep learning technology have enabled complex task solutions. The accuracy of image clas...