Latest AI and machine learning research in covid-19 for healthcare professionals.
Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary importance. Advancements in technology emphasize the critical role of designing nanobodies and humanized antibodies in antibody engineering. However, current experimental methods are costly and time-consuming. Computational approaches, while progressing, faced limitations due to insufficient structura...
Genetic variants (GVs) are defined as differences in the DNA sequences among individuals and play a crucial role in diagnosing and treating genetic diseases. The rapid decrease in next generation sequencing cost has led to an exponential increase in patient-level GV data. This growth poses a challenge for clinicians who must efficiently prioritize patient-specific GVs and integrate them with exi...
The age estimation task aims to use facial features to predict the age of people and is widely used in public security, marketing, identification, a...
Protein methylation is a form of post-translational modifications of protein, which is crucial for various cellular processes, including transcription...
Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adaptive radiotherapy, a recent medical advance capabl...
Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object in an image referred to by the text (i.e., referrin...
MOTIVATION: Identifying the binding sites of antibodies is essential for developing vaccines and synthetic antibodies. In this article, we investigate...
Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through MRI, but can also be seen on ultrasound (US), a m...
We propose an ambulation assessment platform in healthcare that employs a deep neural network for body/head detection and further recognizes the posit...
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. The cough sound data were selected from the Cambri...
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in pandemic scenarios. Concerns about security and pri...
The Parallel Continuum Robot (PCR) is an emerging class of soft robotics distinguished by features such as flexibility, safety, compactness, and dexte...
In order to ensure autonomous vehicles are safe for on-road deployment, simulation-based testing has become an integral complement to on-road testin...
OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-mat...
3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor environments. It is critical for such sy...
Prosthetic heart valve interventions such as TAVR have surged over the past decade, but the associated complication of long-term, life-threatening t...
OBJECTIVES: To evaluate the performance of machine learning models in predicting pathological complete response (pCR) to neoadjuvant chemoradiotherapy...
The energy consumption and the compute performance of a fluid dynamic code have been investigated varying parallelization approach, arithmetic preci...
Behavior-disease models suggest that pandemics can be contained cost-effectively if individuals take preventive actions when disease prevalence rise...
The adaptive immune response plays a vital role in eliminating infected and aberrant cells from the body. This process hinges on the presentation of s...