A systematic comparative analysis reveals that the loss of the D-arm in mitochondrial tRNA-Cys is a recurring, independently evolved structural ...

A dual-perspective explainable artificial intelligence framework couples semantic clustering with graph classification to eliminate data inconsistencies, boosting cancer text classification ...

A review in Cell Division evaluates AI and machine learning models for pancreatic cancer diagnosis, highlighting their high reliability in ...

A study in Aquaculture Science and Management finds that low water exchange rates in circular tanks significantly reduce the growth ...

A new study in Financial Innovation identifies how fossil fuel fundamentals and systemic uncertainty factors nonlinearly affect U.S. retail electricity ...

A cross-sectional survey of 208 Italian patients with relapsing-remitting multiple sclerosis found that those self-administering subcutaneous ofatumumab at home reported ...

A case report in Diagnostic Pathology describes a rare instance where heterotopic bone, extramedullary hematopoiesis, and oncocytic papillary thyroid carcinoma ...

A new deep learning algorithm called PaliConvLSTM classifies arrhythmias into three risk levels, achieving 99.68% accuracy on standard ECG datasets ...

A comprehensive review published in the journal Biochar on June 11, 2026, examines the colloidal stability of dissolved black carbon ...

Artificial intelligence is fundamentally reshaping the field of bioprospecting, a process that has historically relied on labor-intensive extraction and screening ...