Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Encrypted network communication ensures confidentiality, integrity, and privacy between endpoints....
With the rapid advancement of deep learning, computational pathology has made significant progress...
The emergence of virtual staining technology provides a rapid and efficient alternative for resear...
Vision Transformers (ViTs) have shown promise in medical image semantic segmentation (MISS) by cap...
The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical dia...
The robust patterning of cell fates during embryonic development requires precise coordination of si...
Against the backdrop of global population growth and the continuous escalation of food demand, the a...
In pathology, reconstructing adjacent tissue parts enables an overview of the macro environment of o...
Segmenting individual instances of mitochondria from imaging datasets can provide rich quantitative ...
High-Speed Atomic Force Microscopy (HS-AFM) enables imaging of biological structures and dynamics wi...
Accurate identification of conserved protein domain boundaries and their classification are fundamen...
A theta/gamma oscillatory neural mechanism has been postulated to explain the auditory sampling of h...
Antibody discovery remains constrained by resource-intensive experimental screening approaches that ...
Ensuring privacy in distributed machine learning while computing the Area Under the Curve (AUC) is a...
South African young adults are at increased risk for HIV acquisition and other non-communicable dise...
Artificial intelligence (AI) has transformed medicine, advancing diagnostics, treatment, and patient...
Robust de-identification is necessary to preserve patient confidentiality and maintain public accept...
The use of Artificial Intelligence (AI) methods in palliative care research is increasing. Most AI p...
Predictive modeling in healthcare holds promise for improving clinical outcomes, but in many low-res...
Retrieval-augmented generation (RAG) has emerged as a promising approach to improve the factual cons...
Right ventricular (RV) function is a key factor in the diagnosis and prognosis of heart disease. How...