Artificial Intelligence Medical Compendium

Continuous bioprocessing with Protein A affinity chromatography has demonstrated great potential to increase productivity and reduce the cost of goods in monoclonal antibody (mAb) production. However, maintaining process stability and responding to d... read more 

This study proposes a transfer learning framework for non-invasive glucose prediction using diffuse-reflectance near-infrared (NIR) spectroscopy, along with an in vitro phantom model that incorporates a pump-driven circulation system. Lipofundin and ... read more 

Geographical traceability is crucial to ensuring consistent quality of Paris polyphylla var. yunnanensis (PPY) from different regions. In this study, a multi-dimension FT-MIR and NIR spectroscopy, data fusion combined with machine learning were used ... read more 

Near-infrared (NIR) spectroscopy combined with artificial intelligence (AI) is widely used in food and pharmaceutical industries for rapid analysis, but its reliability is limited by small labeled datasets due to the difficulty of measuring sample ch... read more 

Rapid and reliable detection of adulteration in American ginseng (Panax quinquefolius L.) is essential for ensuring product integrity and safeguarding consumer health, as the powder is frequently adulterated with low-cost herbal substitutes. This stu... read more 

As one of the critical natural resources sustaining human survival and sustainable development, soil quality directly underpins ecological security and the sustainability of agricultural production. Given the escalating severity of soil pollution, pa... read more 

The widespread use of sulfur fumigation in dried ginger processing poses significant quality and safety concerns, creating a pressing need for rapid, non-destructive discrimination techniques. While Near-Infrared (NIR) spectroscopy holds promise, eff... read more 

The application of machine learning algorithms to daily diary data represents a valuable tool for improving dynamic prediction of posttraumatic stress disorder (PTSD) symptom escalations. This prospective, intensive longitudinal study aimed to evalua... read more 

Microscopic Propagator Imaging (MPI) is a novel diffusion MRI technique that estimates properties, referred to as indices, of the microscopic propagator. This is the probability distribution of water displacements within tissue microstructures. Unlik... read more 

BACKGROUND: Artificial intelligence (AI) is increasingly used in qualitative research to support tasks such as coding, thematic identification, and pattern recognition. While AI enhances productivity in processing large volumes of unstructured data, ... read more