Latest AI and machine learning research in covid-19 for healthcare professionals.
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndr...
Staining is a crucial step in histopathology that prepares tissue sections for microscopic examinati...
PURPOSE: Although several studies have compared the performance of deep learning (DL) models and rad...
Identifying patients who may develop severe COVID-19 has been of interest to clinical physicians sin...
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths worldwide. Vaccine...
Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However, none of th...
In the setting of pronounced inflammation, changes in the epithelium may overlap with neoplasia, oft...
Our research focused on assessing essential oils (MSEO) and aqueous extracts (MSAE) derived from M. ...
Kidney injury molecule-1 (Kim-1), a specific marker of kidney injury, is usually not expressed in n...
This study aims to investigate the potential of Oregon grape root extracts to modulate the activity...
In the broiler-breeding industry, phenotype determination is critical. Leg weight is a fundamental i...
Bias in neural network model training datasets has been observed to decrease prediction accuracy for...
The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There...
Ventriculoperitoneal (VP) shunts divert cerebrospinal fluid (CSF) out of cerebral ventricles in pat...
MRI-guided radiotherapy systems enable beam gating by tracking the target on planar, two-dimensional...
Pathogenic variation in DNA mismatch repair (MMR) gene is associated with Lynch syndrome (LS), an a...
Annexin A5 is a phosphatidylserine binding protein with anti-inflammatory, anticoagulant and anti-a...
Rituximab is frequently used off-label for the treatment of frequent-relapsing/steroid-dependent ne...
Identifying pathogenic variants from the vast majority of nucleotide variation remains a challenge. ...
The growing interest in data-driven medicine, in conjunction with the formation of initiatives such ...
We describe a novel assay and artificial intelligence-driven histopathologic approach identifying de...