Latest AI and machine learning research in fda general for healthcare professionals.
Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events...
We developed an algorithm (ANDI) for predicting regulatory marketing approval for new cancer drugs a...
BMCL26 is a potential drug derived from nimesulide, which has exhibited the substantial anti-parasit...
In this study, we present an application of neural network and image processing techniques for detec...
Virtual screening is an important step in early-phase of drug discovery process. Since there are tho...
In this work, we assessed the use of confocal Raman microscopy and artificial neural network as a pr...
This is part II of an in silico investigation of chemical-induced eye injury that was conducted at F...
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ...
The amount of biomedical literature has been increasing rapidly during the last decade. Text mining ...
The monitoring of the plasmatic concentrations of cardiovascular drugs is crucial for understanding ...
This chapter explores how robotic systems and ambient intelligence can enhance care for older adults...
Biomedical artificial intelligence (AI) increasingly relies on heterogeneous data sources, yet diffe...
Automated optical inspection of precision components with tiny surface defects remains challenging w...
World models turn visual representations into predictions and actions. We argue that their visual fo...
Inline quality assurance for Sheet Molding Compound (SMC) manufacturing is hindered by the lack of l...
Protein immunogenicity is a major cause of biologic drug failure, leading to the production of anti-...
Crop quality assessment is one of the most critical components of modern agriculture, which directly...
Routine inspection of power distribution infrastructure remains challenging for utilities operating ...
Utility-scale photovoltaic (PV) inspection is dominated by aerial surveys, which are effective for i...
Automated visual inspection is essential for efficient repair and recycling of metallic components. ...
Image-based 3D reconstruction provides a scalable representation for building inspection and mainten...