Company intelligence
UGenome
Multi-omics software tools for genomic medicine, making genomic medicine personal and accessible for everyone
About UGenome
UGenome AI is a cutting-edge biotech company at the forefront of genomic innovation. We specialize in the development of advanced software tools designed to harness the power of genomics for both research and clinical applications. Our mission is to accelerate the benefits of genomic medicine for patients and healthcare professionals through clinically actionable insights. Our services include: Bioinformatic Services: Providing expert data analysis and interpretation across the multi-omics spectrum, facilitating deeper insights into complex biological datasets. We are a registered supplier on Scientist.com, and you can find our services here. Personalized Medication Services (Pharmacogenetic Consultation): Offering tailored pharmacogenetic insights to optimize medication therapy based on an individual’s genetic makeup, ensuring safer and more effective treatments. Our products in development: MAXX: A personalized reference genome generating mutation analyzer, designed to create customized genomic references that account for unique mutations, driving accuracy in variant interpretation. ProPEx: A pharmacogenomics data extracting analyzer that streamlines the process of identifying pharmacogenomic variants, delivering actionable insights for personalized medicine. At UGenome AI, we are committed to leveraging the latest advancements in genomics and bioinformatics to make genomic medicine personal and accessible for everyone.
Verified activity
Signals from UGenome
3 published signals
People
Ugenome employee Christopher Trocola earned the AICT 0111 AI Professional certification through the CAIO Series 1 program.
Reported by Christopher Trocola
Presence & Recognition
Ugenome is attending the Royal Statistical Society International Conference in Bournemouth from 7 to 10 September 2026.
Reported by Ayse ULGEN, PhD, MGM
Research & Knowledge
UGenome is hosting a Mathematics Special Issue titled Advances in Statistical Methods and Machine Learning for Medical and Genetic Epidemiology with a submission deadline of 31 January 2027.
Reported by Ayse ULGEN, PhD, MGM