Latest AI and machine learning research in stds for healthcare professionals.
Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are opera...
Although classical computing has excelled in a wide range of applications, there remain problems t...
Hypothesis testing is a statistical inference approach used to determine whether data supports a s...
Testing deep learning (DL) systems requires extensive and diverse, yet valid, test inputs. While s...
The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial f...
A durable organotypic epithelial raft culture was established as a model of cervical precancer. Plau...
Testing enhances memory more than studying. Although numerous studies have demonstrated the robustne...
Patient-derived organoids (PDOs) are emerging as advanced 3D ex vivo novel alternative method (NAM) ...
Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dyn...
Herpes simplex viruses (HSV-1 and HSV-2) are widespread human pathogens, most commonly causing oral ...
Glycan-binding proteins (GBP) are among the most difficult to drug targets. This deficiency delays c...
Polygenic Risk Scores (PRS) are emerging tools for predicting an individual’s genetic risk for compl...
Information transfer in neural systems is often modeled through diffusive or synaptic mechanisms tha...
Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...
EGFR amplification occurs in approximately 40-50% of glioblastoma (GBM) cases and is critical for tr...
Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet exi...
Artificial intelligence (AI)-based imaging analysis has applications for the diagnosis of head and n...
Foundation models (FMs) show promise in medical AI by learning flexible features from large datasets...
While associations of antibiotic resistance traits are not random in multidrug-resistant (MDR) bacte...
The diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) requires advanced imaging, precludin...
Deep Learning (DL) has emerged as a powerful tool to predict genetic biomarkers directly from digiti...