In this episode of Data in Biotech, Ross Katz explores the transformative role of AI in microscopic imaging and life sciences with Ilya Goldberg, Chief Science Officer, and Reese Findley, an AI Data Scientist at ViQi. 

They discuss the cutting-edge applications of AI in automating high-content screening (HCS), enabling more efficient drug discovery, and unraveling complex biological processes. From streamlining time-course analysis to detecting off-target effects in drug compounds, ViQi’s tools are revolutionizing how scientists approach image-based data.

Key Highlights:

• How AI-powered "eyes" analyze thousands of microscopy images to identify phenotypic changes.
• The benefits of using brightfield imaging and live-cell dyes to capture time-course data efficiently.
• Real-world applications of AutoHCS for high-content screening, including drug efficacy studies, stem cell differentiation tracking, and phenotypic clustering for toxicity detection.
• Insights into how automation empowers researchers by reducing repetitive tasks and enhancing focus on innovation.
• The broader implications of AI in medicine, from radiology to pathology, and how it's redefining workflows for specialists.

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.

Learn more about who was featured on the podcast:

• CorrDyn, an enterprise data specialist that enables excellent companies to make smarter strategic decisions, at www.corrdyn.com 
• ViQi – helping virologists accelerate, automate and simplify infectivity assays:  www.viqiai.com 

Connect with Reese and Ilya on LinkedIn