Latest AI and machine learning research in covid-19 for healthcare professionals.
Viral hepatitis remains a major global health issue, with chronic hepatitis B (HBV) and hepatitis C ...
Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established...
The Stability of the economy is always a great challenge across the world, especially in under devel...
Aqueous two-phase systems (ATPS) have been used to purify a range of biomolecules, including small m...
There is a great discrepancy between the clinical categorization of MEFV gene variants and in silico...
BACKGROUND: Machine learning (ML) is a significant area of artificial intelligence, which can improv...
Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...
OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine...
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunoth...
Cardiovascular diseases (CVDs) persist as the foremost cause of global mortality, necessitating adva...
Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potentia...
Genetic variants can affect protein function by driving aberrant subcellular localization. However, ...
OBJECTIVES: This study aimed to develop a model for predicting peripheral lymph node metastasis (LNM...
Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the ...
The segmentation of liver margins in computed tomography (CT) images presents significant challenges...
Real-time endoscopic rectal lesion characterization employing artificial intelligence (AI) and near-...
With the increasing development of metaverse and human-computer interaction (HMI) technologies, arti...
Optimizing enzymes to function in novel chemical environments is a central goal of synthetic biology...
Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis a...
Predicting and quantifying phenotypic consequences of genetic variants in rare disorders is a major ...
BACKGROUND: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolut...