Latest AI and machine learning research in bioterrorism for healthcare professionals.
OBJECTIVE: To assess suitability of Comprehensive Complication Index (CCI) vs. Clavien-Dindo classif...
Nonlinear DNA signal amplification with an enzyme-free isothermal self-assembly process is uniquely ...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformati...
Acoustic detection technology is a new method for early monitoring of wood-boring pests, and the eff...
In recent years, drug sensitivity prediction has garnered a great deal of attention due to the growi...
The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade...
Seismic response prediction is a challenging problem and is significant in every stage during a stru...
As a structural health monitoring (SHM) system can hardly measure all the needed responses, estimati...
BACKGROUND: Transcatheter arterial chemoembolization (TACE) is the mainstay of therapy for intermedi...
Anthrax is a severe infectious disease caused by the Bacillus anthracis bacterium. This paper aims t...
OBJECTIVES: To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-...
A gate-tunable synaptic device controlling dynamically reconfigurable excitatory and inhibitory syna...
Anticoagulant drugs are commonly prescribed to prevent hypercoagulable states in patients with venou...
This article presents an effort toward building an artificial intelligence (AI) assisted framework, ...
Memristors are candidate devices for constructing artificial neurons, synapses, and computational ne...
Reducing floor eggs in cage-free (CF) housing systems is among primary concerns for egg producers. T...
We present a novel multimodal deep learning framework for cardiac resynchronisation therapy (CRT) re...
OBJECTIVES: To implement a pipeline to automatically segment the ROI and to use a nomogram integrati...
In this paper, we propose a data-driven approach for the reconstruction of unknown room impulse resp...
Previous studies have either learned drug's features from their string or numeric representations, w...
OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the sp...