During the neonatal period, newborns are more susceptible to developing conditions and diseases due to their fragility of the transition and adaptation to the extrauterine environment. Neonatal sepsis is one of the leading causes of morbidity and mor... read more
This study presents a comprehensive, harmonized dataset and an interpretable analytical framework for assessing per-capita waste generation (PCWG) across 36 Indian states and union territories. The research employs a robust data preprocessing methodo... read more
This research study investigates several techniques, such as simulation and an RLC equivalent circuit model, to evaluate antenna performance. The key novelty of this work lies in the integration of supervised machine learning-assisted optimization wi... read more
Out-of-hospital cardiac arrest (OHCA) poses a significant public health challenge, with limited tools available for dynamic risk estimation under changing environmental conditions. This study aimed to develop and validate an OHCA risk prediction mode... read more
The high environmental impact of conventional Portland cement has driven the need for sustainable alternative binders with improved performance characteristics. Geopolymer concrete (GPC), particularly using industrial by-products such as fly ash and ... read more
Deep learning models enable the prediction of clinical endpoints from whole-slide images (WSIs), but many such models function as "black boxes", lacking transparency about whether and which histomorphological patterns drive their predictions, hinderi... read more
Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is essential to preserve vision. Deep learning approaches have shown promise in automating glaucoma detection. However, significant class imbalance in medical datasets... read more
Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared decision-making (SDM) outcomes is limited. In the single-center PRIMA-AI trial, 76 kidney transplant ... read more
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid evolution, host switching and immune escape. With a propensity for mutation, coupled with recombinati... read more
A range of environmental, lifestyle and biological exposures across the lifespan - varying in timing, duration and intensity - interact with genetic factors to shape an individual's neurocognitive phenotype. By referring to the totality of exposures ... read more
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