Machine Learning Applications for Therapeutic Tasks with Genomic Data

10 Pages

Examines 22 machine learning applications across the therapeutic pipeline, from target discovery and therapeutic design to clinical and post-market studies. Shows how ML aids rare disease detection, drug response prediction, CRISPR optimization, patient-trial matching, and real-world evidence generation. Notes the promise of integrating genomics with other biomedical data sources. Discusses challenges such as distribution shifts, privacy, and fairness, while framing ML as essential for advancing personalized medicine.

Join for free to read

White Paper Machine Learning Best Practices in Healthcare and Life Sciences

Guide 3D MACHINE VISION APPLICATIONS GUIDE

Guide Drive Industry 4.0 results with machine learning

Guide 3D MACHINE VISION APPLICATIONS GUIDE

More from IQVIA

White Paper USING AI & MACHINE LEARNING TO DRIVE COMMERCIAL SUCCESS IN THE EU

Infographic Accelerating therapeutic innovation for a healthier world

Case Study Leveraging Machine Learning to Optimize Care for Patients with…

Case Study Healthcare Insights Through AI and Machine Learning

White Paper

Machine Learning Applications for Therapeutic Tasks with Genomic Data

Machine Learning Applications for Therapeutic Tasks with Genomic Data

You Might Also Like

More from IQVIA