Latest AI and machine learning research in covid-19 for healthcare professionals.
Synthetic biology and deep learning synergistically revolutionize our ability for decoding and recoding DNA regulatory grammar. The B-cell-specific transcriptional regulation is intricate, and unlock the potential of B-cell-specific promoters as synthetic elements is important for B-cell engineering. Here, we designed and pooled synthesized 23Â 640 B-cell-specific promoters that exhibit larger sequ...
With the rapid spread of epidemic situation, how to quickly analyze health risk factors has become a major challenge in the current public health field. The development of natural language processing (NLP) technology allows us to quickly capture the details of dealing with unknown health risks from massive data. This study uses official case reports on the Chinese Internet since the outbreak of De...
In vitro pollen germination is considered the most efficient method to assess pollen viability. The pollen germination frequency and pollen tube lengt...
Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational re...
Gallic acid, acting as an antioxidant, anti-precipitant and cytoprotective agent, was used as a possible remedial natural component for treating exper...
BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 201...
Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs of individuals and of the age of genomic variants is key in se...
Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in patients with an extended course of coronavirus disea...
Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japanese quail () breeder hens. The birds were submitted...
In order to meet the needs of the human-computer interaction experience of health testing products and improve the decision-making efficiency of intel...
COVID-19 is most commonly diagnosed using a testing kit but chest X-rays and computed tomography (CT) scan images have a potential role in COVID-19 di...
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role in allograft histocompatibility, are called anti-HL...
Computational docking is an instrumental method of the structural biology toolbox. Specifically, integrative modeling software, such as LightDock, ari...
Intravital microscopy in small animals growingly contributes to the visualization of short- and long-term mammalian biological processes. Miniaturized...
Extended thymectomy is a procedure to remove the thymus gland and surrounding adipose tissue, while the traditional approach via a median sternotomy, ...
Miniaturized fluorescence microscopy has revolutionized the way neuroscientists study the brain in-vivo. Recent developments in computational lensless...
We trained and validated a deep learning model that can predict the treatment response to neoadjuvant systemic therapy (NAST) for patients with triple...
Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare sy...
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial for benchmarking near-term quantum computers and qua...
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation...