Latest AI and machine learning research in covid-19 for healthcare professionals.
This paper presents a framework for automated optimization of double-heater convective PCR (DH-cPCR)...
Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conju...
High-throughput B-cell sequencing has opened up new avenues for investigating complex mechanisms und...
Convolutional neural network (CNN) has been leaping forward in recent years. However, the high dimen...
Pedestrian detection relying on deep convolution neural networks has made significant progress. Thou...
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human ...
BACKGROUND: Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be...
BACKGROUND: Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. Howev...
A challenging issue in the field of the automatic recognition of emotion from speech is the efficien...
The increasing scope of genetic testing allowed by next-generation sequencing (NGS) dramatically inc...
The characteristics and evolution of pulmonary fibrosis in patients with coronavirus disease 2019 (C...
Recent studies indicate that detecting radiographic patterns on CT chest scans can yield high sensit...
Convolutional Neural Networks (CNNs) have been successfully applied in the medical diagnosis of diff...
BACKGROUND: COVID-19 has challenged global public health because it is highly contagious and can be ...
BACKGROUND: Socially assistive robots (SARs) are created to meet challenges of the global increase o...
Health system data incompletely capture the social risk factors for drug overdose. This study aimed ...
Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and...
COVID-19 syndrome has extensively escalated worldwide with the induction of the year 2020 and has re...
BACKGROUND: Identifying patients who may develop severe coronavirus disease 2019 (COVID-19) will fac...
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent ...
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-recognition t...