Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterogeneity and the current reliance on subjective behavioral assessments. To address this, we propose a novel stacked ensemble machine learning framework ... read more
Biochimica et biophysica acta. Molecular basis of disease
Apr 23, 2026
Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This study aimed to identify and validate novel metabolic regulators in psoriasis. Using a multi-stage bio... read more
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Apr 23, 2026
PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict... read more
BACKGROUND: Sarcopenia is an age-related muscle disorder driven by complex interactions between chronic inflammation and nutritional imbalance. The neutrophil percentage-to-albumin ratio (NPAR), an emerging biomarker integrating systemic inflammatory... read more
The Barker code is widely used in ultrasonic testing to enhance transmitted energy and achieve high-resolution pulse compression through a matched filter. However, the inherent sidelobe of the Barker code can obscure defect echoes under tough testing... read more
Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manually curated due to time and cost. Protein structure predictions may offer a new route to assess and improve gene models without requiring experimental ... read more
UNLABELLED: Deep learning-based automated call detectors offer a solution to the labour- and time-intensive problem of isolating animal sounds within the enormous datasets generated by passive acoustic monitoring (PAM). Broad adoption of deep learnin... read more
Standard supervised classification trains models to imitate the exact labels provided by a perfect oracle. This imitation happens in a single pass, restricting the model to a fixed compute budget even when inputs vary in complexity. Moreover, the rig... read more
Street-view perception models predict subjective attributes such as safety at scale, but remain correlational: they do not identify which localized visual changes would plausibly shift human judgement for a specific scene. We propose a lever-based in... read more
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