Structural biology is entering a new phase beyond the original breakthrough of AlphaFold 2, with two emerging frontiers poised to redefine the field: the prediction of full protein conformational landscapes and the routine de novo design of high-affi... read more
This paper proposes a novel hybrid neuro-fuzzy forecasting framework that integrates the interpretability of the Sugeno fuzzy inference system with the nonlinear modelling capability of a multiplicative neuron model. Unlike conventional Sugeno models... read more
Ovarian cancer poses a significant clinical challenge due to its asymptomatic onset and poor prognosis, highlighting the critical need for effective early detection strategies. This study developed a framework that integrates serum proteomic profilin... read more
Accurate and actionable pallet demand forecasting is essential for multi-echelon warehouse supply chains, particularly when facing complex inter-node dependencies and time-varying transportation lags. Existing methods, despite progress in modeling su... read more
Healthy Life Expectancy (HLE) considers the years an individual has lived free of disease. Minimising time a population spends in ill-health will directly impact national healthcare budgets, alongside individuals' personal quality of life. We utilise... read more
This research examined the performance of a machine learning algorithm when predicting the surface roughness of tempered steel AISI 1060. Different machine learning algorithms, such as decision tree (DT), random forest (RF), adaptive boosting (ADB), ... read more
Patient outcomes after robotic surgery vary widely, often reflecting differences in surgical performance. Artificial intelligence (AI) offers new ways to address this variability, with applications spanning automated skills assessment and feedback, i... read more
Deep learning has driven major breakthroughs in protein structure prediction; however, one of the next critical steps forward is accurately predicting how proteins interact with small-molecule ligands, to enable real-world applications such as drug d... read more
BACKGROUND: Ambulatory blood pressure monitoring (ABPM) plays an irreplaceable role in the diagnosis and management of hypertension. However, more than 100 million of the 1.4 billion people with hypertension worldwide cannot tolerate nighttime ABPM d... read more
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