Normalizing Complex Datasets: Ensuring AI-Ready Data for Biological Research | Kisaco Research

Explore how knowledge graphs integrate multi-source biological data, such as genetic, proteomic, and clinical information, into unified models that accelerate target discovery and disease understanding, with AI enhancing the extraction of actionable insights.
Learn how data normalization and the latest curation strategies ensure that biological datasets are clean, standardized, and AI-ready, enabling accurate analysis and improved model performance for drug development.

Sponsor(s): 
Genomenon
Speaker(s): 

Author:

Daniyal Hussain

Executive Director, Technology Business Development
GSK

Daniyal Hussain

Executive Director, Technology Business Development
GSK

Author:

Mark Kiel

Chief Science Officer
Genomenon

Mark Kiel, MD, PhD, and Molecular Genetic Pathology Fellow at University of Michigan, is the founder and CSO of Genomenon, where he oversees the company’s scientific direction and product development. Mark's passion is to power the practice of precision medicine by organizing the world’s genomic knowledge. To that end, he created Genomenon and the Mastermind suite of genomic tools.

Mark Kiel

Chief Science Officer
Genomenon

Mark Kiel, MD, PhD, and Molecular Genetic Pathology Fellow at University of Michigan, is the founder and CSO of Genomenon, where he oversees the company’s scientific direction and product development. Mark's passion is to power the practice of precision medicine by organizing the world’s genomic knowledge. To that end, he created Genomenon and the Mastermind suite of genomic tools.

Author:

Aaron Daugherty

Associate Director, Computational Biology
BridgeBio

Aaron Daugherty

Associate Director, Computational Biology
BridgeBio
Time: 
2:30 PM - 3:00 PM
Agenda Track No.: 
Track 1
Session Type: 
General Session (Presentation)