Applied AI Summit Healthcare
Free online conference | April 14-15, 2026Scaling Imbalanced ML from Financial Fraud to Clinical Risk: A Practical Deployment Framework
Financial fraud detection and healthcare AI share the same core challenge: rare events in noisy, multimodal data where missing a positive case is expensive. This session presents a production-ready framework built from a real credit card fraud system (XGBoost with class weighting achieving 80% recall on 56,961 transactions) combined with hands-on long-read sequencing experience (COSS 2025 workshop: PacBio HiFi for structural variant calling and Iso-Seq isoform detection). The talk shows how ensemble methods, threshold tuning, and GPU parallelism transfer directly to clinical applications: patient phenotyping, rare disease identification, adverse event detection, and payer fraud prevention. Attendees receive reusable code templates for multimodal fusion, bias mitigation strategies, and governance checklists that satisfy regulatory requirements, enabling fast adaptation of proven finance ML pipelines to healthcare production environments.
Keywords: imbalanced learning, fraud detection, long-read sequencing, multimodal AI, clinical deployment, AI governance
About the speaker
Maral Karbaschi
Researcher, Academic advisor at Alzahra University/ AbroadIn
Anil is an award-winning global product and technology leader with over 15 years of experience in designing and scaling enterprise platforms and consumer-grade products. He specializes in translating complex AI/ML capabilities, including conversational search, recommendation systems, and Generative AI, into tangible business outcomes. A proven leader in building and guiding high-performing teams, Anil has driven significant data and AI-powered advancements in marketing, sales, talent development, and customer care platforms across the telecom, media, and ed-tech sectors. Recognized as a “Top AI 75” honoree, his thought leadership is acknowledged globally. He is passionate about nurturing the next generation of innovators, actively advising and mentoring talent in the fields of product management and AI. Anil is an official member of the Forbes Technology Council, contributing to the industry through his expert opinion pieces and writings. Anil serves as a Fellow and Board Member in organizations to help advance technology and responsible AI adoption.