Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.

With the rapid advancement of information and communication technology (ICT), big data, and artifici...

A one-stage deep learning based method for automatic analysis of droplet-based digital PCR images.

Droplet-based dPCR offers many advantages over chip-based dPCR, such as lower processing cost, highe...

ConvCoroNet: a deep convolutional neural network optimized with iterative thresholding algorithm for Covid-19 detection using chest X-ray images.

Covid-19 is a global pandemic. Early and accurate detection of positive cases prevent the further sp...

An automated framework for evaluation of deep learning models for splice site predictions.

A novel framework for the automated evaluation of various deep learning-based splice site detectors ...

Clinical Evaluation of Commercial HARDSON COVID-19 Antigen Rapid Test Kit for Routine COVID-19 Diagnosis.

OBJECTIVE: This study aimed to evaluate the sensitivity, specificity, and accuracy of the commercial...

Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects.

Therapeutic antibodies are the largest class of biotherapeutics and have been successful in treating...

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately...

Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review.

AIM: To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predic...

Diagnosis of invasive fungal infections: challenges and recent developments.

BACKGROUND: The global burden of invasive fungal infections (IFIs) has shown an upsurge in recent ye...

Kinematic modelling and experimental testing of a particle-jamming soft robot based on a DEM-FEM coupling method.

Particle-jamming soft robots are characterised by high flexibility in motion and high stiffness when...

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.

The milling machine serves an important role in manufacturing because of its versatility in machinin...

A multi-modal deep neural network for multi-class liver cancer diagnosis.

Liver disease is a potentially asymptomatic clinical entity that may progress to patient death. This...

SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.

Super-enhancers are large domains on the genome where multiple short typical enhancers within a spec...

Adversarial feature hybrid framework for steganography with shifted window local loss.

Image steganography is a long-standing image security problem that aims at hiding information in cov...

Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images.

Coronavirus disease 2019 (COVID-19) has seen a crucial outburst for both females and males worldwide...

CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.

Identifying human actions from video data is an important problem in the fields of intelligent rehab...

Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges.

The relevant study of transcriptome-wide variations and neurological disorders in the evolved field ...

Deep learning algorithm for predicting subacromial motion trajectory: Dynamic shoulder ultrasound analysis.

Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography, which is useful f...

ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins.

Immune receptor proteins play a key role in the immune system and have shown great promise as biothe...

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning.

It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) b...

A CMOS Temperature Sensor with a Smart Calibrated Inaccuracy of ±0.11 (3σ).

This paper presents a BJT-based smart CMOS temperature sensor. The analog front-end circuit contains...

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