Episode 50: Multi-Omics Application in Personalised Medicine Studies

In this QCast episode, Jullia and Tom discuss multi-omics and its application in personalised medicine studies. The episode explains how genomic, transcriptomic, proteomic, metabolomic and other biological data layers can be analysed together to better understand disease, treatment response and patient subgroups.Key TakeawaysMulti-omics brings together several types of biological information to help researchers understand disease and treatment response more clearly than a single data layer can provide.Multi-omics can support biomarker discovery, patient stratification and exploratory analysis, but findings need clear evidence before they can guide treatment, diagnosis or prevention.Sample timing, visit labels, subject identifiers, protocol deviations and data quality checks all influence whether multi-omics data can be linked meaningfully to clinical outcomes.🔗 Learn More & Get Support: Visit quanticate.com to explore our biometrics services and discover how we can support your next clinical trial. 📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.🔔 Stay Connected: Subscribe to QCast on Apple Podcasts, Spotify, or your favourite platform to never miss an episode.About QuanticateFounded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:Clinical Data Capture & ManagementBiostatistics & Statistical ConsultancyStatistical Programming & PK/PD AnalysisMedical Writing & PharmacovigilanceRegulatory & Submission SupportAI & AutomationPost-Marketing Safety & Real-World DataQuanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.