Data Analytics and Artificial Intelligence Drug Development
Transforming Drug Development: Powering Innovations with AI and Data Analytics
Skills you will gain:
About Workshop:
This workshop explores the critical role of data analytics and AI in modern drug development, covering areas such as predictive modeling, biomarker discovery, and clinical trial optimization. Participants will learn how to apply advanced AI algorithms and data-driven strategies to enhance the efficiency, accuracy, and success rates of drug development pipelines.
Aim: The aim of the Data Analytics and Artificial Intelligence in Drug Development program is to equip participants with advanced skills in AI and data analytics, enabling them to drive significant advancements in drug discovery and development processes. The program focuses on optimizing efficiency, accuracy, and innovation in pharmaceutical research.
Workshop Objectives:
- Develop Expertise in AI Technologies
- Enhance Predictive Analytics Capabilities
- Optimize Clinical Trials
- Advance Biomarker Identification
- Implement Personalized Medicine Approaches
- Strengthen Data Management Techniques
- Navigate Regulatory Environments
- Foster Interdisciplinary Collaboration
What you will learn?
Day 1
● Collecting data from primary sources
● Types & Methods of Primary researches
● Legal, Ethical and Regulatory consideration while collecting information
● The role of AI, technology and innovation in pharmaceutical primary research
● Applications, Case Studies and Trends
Day 2
● Big Data and Artificial Intelligence Modeling for Drug Discovery
● Importance of Clinical Trials in Information analysis
● The role of virtual clinical trials and remote monitoring in new drug
development
● Drug delivery systems innovation: advances in formulation and delivery
technologies
● Applications, Case Studies and Trends
Day 3
● The impact of data analytics and artificial intelligence in pharmaceutical R&D
● A Study on the Application and Use of Artificial Intelligence to Support Drug
Development
● Machine Learning and Artificial Intelligence in Pharmaceutical Research and
Development
● Artificial intelligence revolutionizing drug development: Exploring
opportunities and challenges
Mentor Profile
Fee Plan
Important Dates
27 Nov 2024 Indian Standard Timing 3:30 pm
27 Nov 2024 to 29 Nov 2024 Indian Standard Timing 4:30 pm
Get an e-Certificate of Participation!
Intended For :
- Students, PhD scholars, and academicians in fields such as pharmacology, bioinformatics, and data science.
- Industry professionals in pharmaceuticals, biotechnology, and healthcare IT interested in leveraging AI for drug development.
- Researchers and data scientists seeking to specialize in AI applications within the pharmaceutical industry.
Career Supporting Skills
Workshop Outcomes
- AI and Data Analytics Proficiency: Mastery of AI algorithms and data analytics tools applied to drug development.
- Predictive Modeling: Skills in developing and using predictive models to identify and optimize drug candidates.
- Clinical Trial Optimization: Ability to apply AI for designing and optimizing clinical trials, reducing time and cost.
- Biomarker Discovery: Expertise in analyzing data to discover biomarkers that guide personalized medicine.
- Regulatory Compliance: Understanding of regulatory frameworks governing AI in drug development, ensuring ethical and legal compliance.
- Interdisciplinary Collaboration: Enhanced ability to work within cross-functional teams, integrating AI and data science with pharmaceutical research.
- Innovation in Drug Development: Capacity to innovate and apply AI to solve complex challenges in the drug development process.
