The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead electrocardiogram (ECG) recordings, developed through a collaboration between Harvard and Emory University. The database consists of 10,608,417 ECG reco... read more
Chronic kidney disease (CKD) represents a major global health burden, and early, reliable risk prediction remains clinically challenging. This study proposes a CKD prediction framework that integrates machine learning with Synergy-Unique-Redundant De... read more
Oral squamous cell carcinoma (OSCC) is a malignant tumor characterized by both clinical and molecular heterogeneity. Its rising global incidence and mortality rates pose considerable clinical challenges. Accumulating evidence suggests that dysregulat... read more
Amidst rising global food security challenges, early and precise detection of plant diseases has become essential-particularly for high-value crops such as mangoes. This study introduces a novel deep learning-based framework for the classification of... read more
Small ubiquitin-like modifiers (SUMOs) are crucial protein regulators influencing diverse biological processes through covalent modifications or non-covalent interactions. SUMOylation, a key post-translational modification (PTM), plays a vital role i... read more
Measuring sheet resistance in metal nanowire films without causing damage is critical for advancing transparent conducting electrode technologies, particularly in emerging applications like flexible electronics, displays, and solar cells. Traditional... read more
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