COVID-19

Performance analysis of conventional and AI-based variant callers using short and long reads.

BACKGROUND: The accurate detection of variants is essential for genomics-based studies. Currently, t...

AI approach to biventricular function assessment in cine-MRI: an ultra-small training dataset and multivendor study.

. It was a great challenge to train an excellent and generalized model on an ultra-small data set co...

Efficiency of face mask ventilation before and after neuromuscular blockade: A randomised, double-blind controlled study.

BACKGROUND AND AIMS: The traditional practice of administrating neuromuscular blocking drugs (NMBDs)...

Use of a humanoid robot for auditory psychophysical testing.

Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement du...

Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases.

BACKGROUND: Zoonotic diseases originating in animals pose a significant threat to global public heal...

Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model.

This study presents a comprehensive examination of sex-related differences in resting-state electroe...

Next generation of multispecific antibody engineering.

Multispecific antibodies recognize two or more epitopes located on the same or distinct targets. Thi...

Screening and Identification of DNA Nanostructure Aptamer Using the SELEX Method for ‎Detection of Epsilon Toxin.

BACKGROUND: Epsilon toxin (ETX), produced by , is one of the most potent toxins known, with a lethal...

Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis.

BACKGROUND: Artificial intelligence (AI)-aided analysis of chest CT expedites the quantification of ...

Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm.

The study evaluated the diagnostic performance of an artificial intelligence system to detect separa...

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

Nurses, often considered the backbone of global health services, are disproportionately vulnerable t...

Physicochemical differences between camelid single-domain antibodies and mammalian antibodies.

BACKGROUND/AIM: In recent years, single-domain antibodies, also known as nanobodies, have emerged as...

Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study.

AIMS: To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden a...

Comparison of vascular cell adhesion molecule 1 (VCAM-1) during pregnancy, after placental detachment and during puerperium between normal and pregnancy with COVID-19.

Pregnant women have a number of physiological changes that lower the immune responses to avoid embry...

Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with in...

Detection of safety helmet and mask wearing using improved YOLOv5s.

With the advancement of society, ensuring the safety of personnel involved in municipal construction...

Long-term effects of deep-learning digital therapeutics on pain, movement control, and preliminary cost-effectiveness in low back pain: A randomized controlled trial.

OBJECTIVE: The present study aimed to compare the effects of a deep learning-based digital applicati...

Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening.

Universal health care is attracting increased attention nowadays, because of the large increase in p...

Artificial Intelligence vs Clinician Performance in Estimating Probabilities of Diagnoses Before and After Testing.

Nano-modified screen-printed electrode-based electrochemical immunosensors for oral cancer biomarker detection in undiluted human serum and saliva samples.

This proposed work reports the development of in-house made conductive ink-based screen-printed elec...

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of ind...