JAIMA - Analytical Solutions for Research, Development & CMC of Novel Modalities of Drugs ~ Comprehensive understanding of molecular structure, dynamics and function
Monday, February 26, 2024 9:30 AM to 11:40 AM · 2 hr. 10 min. (America/Vancouver)
Room 31A
Symposium
Pharmaceuticals & Biologics
Information
The emergence of various novel drug modalities, such as next-generation antibody drugs and nucleic acid drugs, has created a need for new methods in the analysis and monitoring of each process from R&D to production. To meet such needs, a different approach is required in solution development. One of such approach is combining data science, such as AI and machine learning, with the conventional method of analytical chemistry. The integration of analytical chemistry and data science is expected not only to bring new knowledge for comprehensive understanding of the structure, dynamics, and function of molecules, but also to make a significant contribution to improving the efficiency of drug discovery and CMC research.
In this session, we will discuss projects and technologies for developing analytical solutions for the pharmaceutical market in the era of data science.
Day of Week
Monday
Session or Presentation
Session
Session Number
SY-12-00
Application
Pharmaceuticals
Methodology
Physical Measurements
Primary Focus
Methodology
Morning or Afternoon
Morning
Register
Register Now
Presentations
Automated Real Time High-Speed Microdroplet Reactions to Increase the Throughput of Therapeutic Protein Characterization
Monday, February 26, 2024 9:30 AM to 10:00 AM
Room 31A
Krishna D.B. Anapindi · Gilead Sciences Inc.
3D Structure of Monoclonal Antibodies in Solution by Electron Density Topography
Monday, February 26, 2024 10:00 AM to 10:30 AM
Room 31A
Joseph Ferrara · Rigaku Americas Corp.
Targeted Multi-Omics strategies enhance Bioanalytical workflows in identifying, and validating biomarkers used to define “Mode of Action” and “Off Target Effects” in drug development.
Monday, February 26, 2024 10:40 AM to 11:10 AM
Room 31A
John Sausen · Agilent Technologies, United States