Explore Cutting-Edge ASI Clinical Studies
A recent study highlights the importance of multimodal cytogenetic and molecular approaches in detecting complex structural variants.
Results show over 99% correlation between dedicated FISH analysis and IMS review, supporting reliable integration of FISH images into digital pathology workflows.
The study demonstrates high concordance between digital and manual assessments, highlighting the potential of combined H&E and IF WSI review to improve diagnostic insight and efficiency.
This multicenter pilot study assesses a new AI-based metaphase finder designed to improve detection during slide scanning. The results demonstrate increased metaphase identification and reduced capture of non-metaphase material, enhancing efficiency in karyotyping workflows.
This study evaluates an AI-based scanner-agnostic add-on for automated karyotyping that integrates with existing imaging systems. Results show a significant reduction in metaphase analysis time, supporting faster and more efficient cytogenetic workflows.
A new breast cancer study demonstrates how ASI’s HiPath Pro platform support AI-driven predictive oncology through high-quality digital pathology imaging.
ASI’s second abstract presented at ECP 2025 demonstrates strong agreement between manual and computational scoring of Ki-67 in breast cancer. The study validates ASI’s AI-powered quantification tools as a reliable complement to routine pathology assessment.
This study shows that computer-aided scoring provides a reliable and reproducible method for assessing HER2 immunostaining in breast cancer with high intra-tumoral heterogeneity.
Mendel Laboratories in Mexico used ASI’s HiBand system to demonstrate the efficiency gains of AI-powered karyotyping – significantly reducing analysis time for the analysis of both normal and abnormal cases.
Discover ASI’s new AI-powered Q-banded karyotyping solution, delivering high accuracy and fewer manual corrections. This innovation streamlines cytogenetic workflows for faster, more efficient chromosome analysis.
A joint study by Soroka Medical Center and Applied Spectral Imaging shows that digital FISH using ASI’s HiFISH platform significantly reduces analysis time – by 40% – compared to manual methods.
This abstract demonstrates the practical impact of AI-assisted chromosome analysis using ASI’s HiBand platform. Read how AI can reduce analysis time, maintain high accuracy across varied band resolutions, and support lab efficiency.