BACKGROUND: Renal biopsy remains the gold standard for the diagnosis of kidney diseases, and specimen adequacy is essential for reliable histopathological evaluation. However, confirmation of glomerular yield in routine pathology workflows often reli... read more
BACKGROUND: Deep mutational scanning (DMS) provides comprehensive maps of protein variant effects but remains experimentally intensive. Machine learning (ML) approaches have the potential to reduce experimental burden of DMS by predicting the functio... read more
BACKGROUND: Though follicular thyroid carcinoma can be confirmed postoperatively by the histological findings of capsular or vascular invasion, preoperative diagnosis of follicular-patterned lesions has long been a diagnostic challenge. This study se... read more
OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfer learning (DTL) and habitat analysis models, as well as a combined model, for the preoperative noninvasive prediction of Ki-67 expression in hepatoce... read more
BACKGROUND: Cancer is a complex set of diseases caused by the dysregulation of cell proliferation, differentiation, and apoptosis, ultimately leading to malignant tumor development and metastasis. Recent studies have revealed that dysregulation of N4... read more
BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), magnetic resonance imaging (MRI), and dual-energy X-ray absorptiometry (DXA) offer valuable diagnostic... read more
BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological processes across diverse species. Accurate identification of Kmal sites is important for understand... read more
Recent advancements in artificial intelligence have demonstrated enhanced potential in accelerating drug discovery by exploring vast chemical spaces and predicting molecular properties. In particular, scaffold-constrained molecular generation has ena... read more
International journal of retina and vitreous
May 19, 2026
BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The advent of the artificial intelligence (AI) era and the early changes in retina and optic nerve morp... read more
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digit... read more
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