Agreement analysis between manual and computational scoring of Ki-67 in breast cancer
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.
Computer-aided scoring as an objective method in the assessment of HER2 immunostaining in breast cancer with high intra-tumoral heterogeneity
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.
Fragile X Karyotyping A Cytogenetic Perspective
In recognition of Autism Awareness Month, join us for a special webinar featuring Brenda Buthelezi from Lancet Laboratories, Johannesburg, South Africa. Discover groundbreaking insights into Fragile X Karyotyping, its challenges, and how ASI’s advanced system enhances cytogenetic analysis.
Use of Artificial Intelligence to Enhance Karyotyping Efficiency of Both Normal and Abnormal Cases
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.
New Q-Band Artificial Intelligence – Based Chromosome Analysis and Karyotyping – a Pilot Evaluation
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.
ASI has officially joined the ZYTOMICS family
By combining ASI’s imaging and analysis solutions with ZYTOMICS’ reagents, automation and analytics, the companies aim at creating more integrated and scalable solutions for pathology and cytogenetics laboratories.
From Manual To Digital Fluorescence In Situ Hybridization (FISH) – A Time Saving Experience
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.
Preliminary Experience with AI-Based Karyotyping in Peripheral Blood Specimens
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.
The Emergence of Artificial Intelligence-Guided Karyotyping: A Review and Reflection
This recent review by Wake Forest University School of Medicine explores the emergence of AI-guided karyotyping, featuring ASI’s HiBand system as a leading example.
Revolutionizing Cytogenetics with AI Karyotyping
Discover how AI is transforming cytogenetics – boosting efficiency, enhancing analysis, and ensuring diagnostic accuracy.
Join ASI’s CTO, Nir Katzir, learn how AI is revolutionizing karyotyping, the benefits of automated analysis and watch a live demo of AI-driven workflows.
ASI’s New Software Release – V8.4.1
ASI is proud to announce the release of GenASIs version 8.4.1.
Designed for both cytogenetics and pathology laboratories, this new version streamlines workflows and enhances diagnostic efficiency.
Enhancing interoperability to enable broader adoption of artificial intelligence in chromosome analysis and karyotyping: A pilot evaluation
ASI enhances interoperability in chromosome analysis, enabling AI-powered karyotyping without replacing existing imaging systems. Our latest study demonstrates the seamless import of third-party scanned metaphases into ASI’s platform, automating karyogram generation and optimizing analysis efficiency.