Latest AI and machine learning research in covid-19 for healthcare professionals.
The developability of antibodies is a critical concern in antibody discovery, encompassing issues such as self-interaction, aggregation, and thermal stability. The use of computational and structure-based tools has greatly improved the evaluation and prioritization of initial antibody sequences. With the increasing demand for subcutaneous administration of small-volume, high-concentration antibody...
While the concept of predictive imaging is not entirely new, advanced analytic tools such as radiomics and machine learning have laid the foundation for a new generation of predictive imaging, which goes far beyond what is visible to the human eye. Predictive imaging has emerged as a transformative tool in abdominal oncology, offering the potential to personalize cancer detection and diagnosis, st...
OBJECTIVES: To develop and validate a machine-learning model based on routinely available biochemical and hematological parameters for detecting wrong...
Recent debates have focused on the impact of analytical imprecision in high-sensitivity cardiac troponin (hs-cTnI and hs-cTnT) assays on the diagnosis...
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options and poorer overall survival tha...
BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA help...
Advances in transmission electron microscopy under extreme conditions have enabled in situ experiments to capture vast amounts of data on defect evolu...
KEY POINTS: Proteomics analyses consistently identified nine independent protein predictors for CKD in both Chinese and European participants with typ...
Diffusion Models (DMs) stand out among generative models for their impressive capabilities, but their application is often constrained by slower infer...
BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, has been closely associated with disturbances in ma...
Perioperative acute kidney injury (AKI) is a frequent complication that affects outcomes well beyond the perioperative period. Its mechanisms remain i...
Coronary artery disease (CAD) remains a leading driver of cardiovascular mortality, requiring diagnostic systems that deliver high discrimination, sta...
Hospital-acquired pneumonia (HAP) remains the most frequent and lethal hospital acquired infection, driving ICU mortality, prolonged length of stay, a...
PURPOSE: This investigation focused on developing a predictive clinical tool that combines biparametric MRI-derived PI-RADS v2.1 assessments with pati...
BACKGROUND AND OBJECTIVE: Three-dimensional (3D) augmented reality (AR) and artificial intelligence (AI) technologies have recently been introduced to...
Self-driven microfluidic devices have significantly advanced point-of-care testing (POCT) by enabling integration and automation of all the components...
Fusarium spp. are among the most destructive pathogens in global agriculture, posing serious threats to food security, plant health, and sustainabilit...
Confirmatory body fluid identification via the detection of specific messenger RNA (mRNA) species is important in circumstances where a conventional t...
BACKGROUND AND OBJECTIVES: Videomics, which integrates video-endoscopy and artificial intelligence, presents significant potential for real-time surgi...
The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitabi...