Artificial Intelligence Medical Compendium

Although ballast water is essential for vessel stability, its discharge is a major vector for invasive species spread. With stricter regulations, accurate port-level discharge prediction has become critical for governance. This study develops a machi... read more 

The increasing demand for lithium-ion batteries (LIBs) and the consequential accumulation of waste from these batteries necessitate its appropriate disposal and recycling. This is important in order to responsibly address the environmental concerns a... read more 

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BACKGROUND: Cardiovascular disease (CVD) and cancer are leading causes of mortality, often coexisting in aging populations. Patients with comorbidities face synergistically increased risks, yet accurate and interpretable prediction tools remain limit... read more 

This work presents a novel approach for univariate anomaly detection in membrane pressure of an aerobic membrane bioreactor (aMBR) using Long Short-Term Memory (LSTM) autoencoders. Membrane fouling, manifested by an increase in applied or transmembra... read more 

Colloidal drug aggregates are amorphous nanoparticles formed by the self-assembly of hydrophobic small molecule drugs. They can be leveraged as drug-rich nanoparticle formulations for drug delivery. However, it is difficult to predict which drugs wil... read more 

It is well known that porcine reproductive and respiratory syndrome (PRRS) decreases herd productivity and leads to economic loss, and it is believed that biosecurity practices are effective for the control and eradication of PRRS. This study aimed t... read more 

Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has emerged as a clinically validated target for the treatment of type 2 diabetes and obesity. In this study, we present a comprehensive AI-integrated drug d... read more 

Proteins and enzymes are fundamental elements for the correct regulation of cell metabolism and their dysregulation or malfunction can lead to the onset of several pathologies. Altered enzymes can participate in tumour formation and progression, but ... read more 

Accurate identification of carcinogenic hazards is essential for public health protection, yet traditional animal-based assays are time-consuming, expensive, and ethically challenging. Many existing quantitative structure-activity relationship (QSAR)... read more