AIMC Topic: SARS-CoV-2

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A Novel Three-Dimensional Robot Arm Steered Camera for Ear Surgery.

The Journal of craniofacial surgery
Ear surgery requires magnified imaging of anatomical structures from its beginning to achieve safe and successful surgical outcomes. The historical evolution of magnification in otology has developed from monocular to binocular, and to three-dimensio...

Deep learning identifies synergistic drug combinations for treating COVID-19.

Proceedings of the National Academy of Sciences of the United States of America
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been challenging. Combination therapies play an important role i...

Application of machine learning in CT images and X-rays of COVID-19 pneumonia.

Medicine
Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed tomography (CT) are 2 technologies widely used in image acquisition, segmentation, diagnosis, and evaluation. Artificial intelligence can accurately segment infected parts in X-r...

SMMPPI: a machine learning-based approach for prediction of modulators of protein-protein interactions and its application for identification of novel inhibitors for RBD:hACE2 interactions in SARS-CoV-2.

Briefings in bioinformatics
Small molecule modulators of protein-protein interactions (PPIs) are being pursued as novel anticancer, antiviral and antimicrobial drug candidates. We have utilized a large data set of experimentally validated PPI modulators and developed machine le...

Do you have COVID-19? An artificial intelligence-based screening tool for COVID-19 using acoustic parameters.

The Journal of the Acoustical Society of America
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19 patients based on the acoustic parameters of their voices. Twenty-five acoustic parameters were extracted from voice samples of 203 COVID-19 patients and 17...

Evaluation of the prediction of CoVID-19 recovered and unrecovered cases using symptoms and patient's meta data based on support vector machine, neural network, CHAID and QUEST Models.

European review for medical and pharmacological sciences
OBJECTIVE: This paper aims to develop four prediction models for recovered and unrecovered cases using descriptive data of patients and symptoms of CoVID-19 patients. The developed prediction models aim to extract the important variables in predictin...

Adoption of Digital Pathology in Developing Countries: From Benefits to Challenges.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Digital pathology and the use of artificial intelligence constitute undisputedly the future of modern pathology. The outcomes and benefits of the whole slide imaging are beyond the scope of traditional microscopy, which the pathologists were using fo...

Auto informing COVID-19 detection result from x-ray/CT images based on deep learning.

The Review of scientific instruments
It is no secret to all that the corona pandemic has caused a decline in all aspects of the world. Therefore, offering an accurate automatic diagnostic system is very important. This paper proposed an accurate COVID-19 system by testing various deep l...