Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity...
Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs of individua...
Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in pat...
Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japane...
In order to meet the needs of the human-computer interaction experience of health testing products a...
COVID-19 is most commonly diagnosed using a testing kit but chest X-rays and computed tomography (CT...
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...
Computational docking is an instrumental method of the structural biology toolbox. Specifically, int...
Intravital microscopy in small animals growingly contributes to the visualization of short- and long...
Extended thymectomy is a procedure to remove the thymus gland and surrounding adipose tissue, while ...
We trained and validated a deep learning model that can predict the treatment response to neoadjuvan...
Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a...
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial fo...
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy ...
MOTIVATION: Missense variants are a frequent class of variation within the coding genome, and some o...
UNLABELLED: The DynaSig-ML ('Dynamical Signatures-Machine Learning') Python package allows the effic...
Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. T...
The coronavirus disease 2019 (COVID-19) outbreak has resulted in countless infections and deaths wor...
Identifying function-enhancing enzyme variants is a 'holy grail' challenge in protein science becaus...
Determining the pathogenicity and functional impact (i.e. gain-of-function; GOF or loss-of-function;...
Deep learning is a prominent method for automatic detection of COVID-19 disease using a medical data...