Latest AI and machine learning research in covid-19 for healthcare professionals.
The world has witnessed a revolution in therapeutics with the development of biological medicines su...
Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest ...
Identifying bacterial strains is essential in microbiology for various practical applications, such ...
Pulmonary diseases are various pathological conditions that affect respiratory tissues and organs, m...
Antimicrobial resistance (AMR) is nowadays a global health concern as bacterial pathogens are increa...
BACKGROUND AND OBJECTIVES: We aimed to analyze the study designs, modeling approaches, and performan...
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbe...
INTRODUCTION: Schistosomiasis is a significant public health concern, especially in Sub-Saharan Afri...
Due to the unnecessary immune responses induced by therapeutic antibodies in clinical applications, ...
Deep learning (DL)-based methods have been successfully employed as asynchronous classification algo...
The design of proteins with specific tasks is a major challenge in molecular biology with important ...
The Industry 5.0 paradigm has a human-centered vision of the industrial scenario and foresees a clos...
Neuroimaging data repositories are data-rich resources comprising brain imaging with clinical and bi...
In this study, we have developed a novel method based on deep learning and brain effective connectiv...
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and structure dat...
The objective of the present study was to investigate the potential role of immunization against INH...
Multiplexed assays of variant effect are powerful methods to profile the consequences of rare varian...
, an aggressive plant pathogen, causes symptoms on a variety of crops and ornamental plants includin...
OBJECTIVE: We examined the effectiveness and feasibility of the Mask Region-based Convolutional Neur...
The combination of physical equations with deep learning is becoming a promising methodology for bio...
BACKGROUND: Notwithstanding the encouraging results of previous studies reporting on the efficiency ...