This study investigates the molecular interactions of two mycotoxins, ochratoxin A (OTA) and citrinin (CIT), with globular proteins, such as human serum albumin (HSA) and lysozyme (LYS), using an integrated spectroscopic, computational, and machine l... read more
Genomics, metabolomics, and proteomics offer complementary insights into cardiovascular disease (CVD) risk. Leveraging UK Biobank data, we introduce the CardiOmicScore, a multitask deep learning framework, to learn disease-specific proteomic (ProScor... read more
Leishmaniases is a parasitic disease caused by the Leishmania parasite, transmitted by sandflies, affecting millions worldwide. Microscopic examination remains the standard method for detecting and quantifying intracellular parasite burden in leishma... read more
Breast cancer diagnosis using magnetic resonance imaging remains limited by high false-positive rates and substantial inter-reader variability, especially for lesions classified as Breast Imaging Reporting and Data System (BI-RADS) category 4, often ... read more
Quantum phase classification is a fundamental problem in quantum many-body physics, traditionally approached using order parameters or quantum machine learning techniques such as quantum convolutional neural networks (QCNNs). However, these methods o... read more
The growing deployment of the Internet of Things (IoT), especially in critical infrastructure, has increased the need for identity systems that are scalable and robust against attacks. However, existing centralized systems have fundamental weaknesses... read more
Urbanisation and population growth continue to accelerate waste generation, posing serious environmental and logistical challenges for the management of Municipal Solid Waste (MSW) management. The present study proposes a predictive framework for for... read more
Structural damage identification is a critical technique for ensuring the safety and reliability of large-scale civil structures. However, existing purely data-driven approaches based on deep learning still suffer from limited physical interpretabili... read more
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