As global temperatures rise, many people assume that worsening heat will drive residents to abandon warming regions in large ...
The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...
Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...
A recent study has identified how specific puberty hormones relate to the physical structure and functional wiring of the ...
You will be redirected to our submission process. The concept of the Virtual Human Twin (VHT) is emerging as a transformative paradigm in oncology, aiming to create patient-specific computational ...
Malaysia’s labour market is robust, according to the World Bank’s Malaysia Economic Monitor 2025: Raising the Ceiling, ...
A new study uses AI on brain scans to predict depression. The findings are modest, but the implications go beyond the ...
Background Hepatocellular carcinoma (HCC), one of the most prevalent cancers worldwide, has a high mortality owing to ...
Objective Tuberculosis (TB) stigma is a critical barrier to timely diagnosis and treatment, yet few studies have quantified ...
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