We are excited to bring another PharmaSUG Single-Day Event to the Life Sciences community! We will be hosting 2 half-day virtual training classes on Thursday, October 17, 2024. Course materials and webinar login instructions will be provided in advance to registered training class attendees; attendees will also receive an electronic certificate of completion following the class.
Conference Committee:
Margaret Hung, Gary Moore, Ajay Gupta, Eric Larson, Pradeep Bangalore, Pallavi Sadhab
Social Media:
Inka Leprince
Questions? Contact us!
Registration and Rates
| Registration Type | Early
Registration
by Oct 7 | Regular
Registration
Oct 8-Oct 17 |
| 1/2-Day Virtual Training | $200 | $250 |
Cancellation Policy
Cancellations can be requested by emailing the registrar at ncsde-registrar@pharmasug.org. Cancellations on or before September 27, 2024 will be refunded at 75% of the total fees paid. Refunds will be issued by the same form of payment received. No refunds will be available after September 27, 2024. Registrations can be transferred to another individual.
Event Schedule
Thursday, October 17, 2024 | Virtual SDE
| Course Title | Instructor | Time |
| Decoding the Gen AI Era for Biometrics : Turning AI Potential into Actionable Solutions | Kevin Lee | 8:30 AM - 12:30 PM ET |
| Navigating Clinical Trial Data Analysis with R: An Introduction to CDISC, R Programming by Example, Dealing with Missing Values, and Reporting with Quarto | Joshua Cook | 1:30 PM - 5:30 PM ET |
Training Class Descriptions
Decoding the Gen AI Era for Biometrics : Turning AI Potential into Actionable Solutions
Kevin Lee
Thursday, October 17, 8:30 AM – 12:30 PM
Gen AI, mostly known ChatGPT, is at the forefront of the next revolution, and in this seminar, we’re about to embark on a journey that will demystify this remarkable technology. Imagine a virtual assistant that can do the following.
- Comprehend and generate human-like text from Clinical Trial Data
- Answer questions about specific patients
- Write SAS/R/Python codes
- Assist in content creation such as tables/listing/graphs
- Unleash its creativity in the realm of art.
To truly harness its potential, you need to understand how to use ChatGPT in the art of prompt engineering, application development using ChatGPT API in Python/SAS and fine-tuning ChatGPT with your own data. In the seminar, we will embark on an exploration of ChatGPT that will equip you with the knowledge and skills to leverage its capabilities effectively while ensuring ethical and responsible use.
Below is a tentative agenda.
– Introduction of LLM, Gen AI and ChatGPT
– ChatGPT Use Cases in Biometrics
– Prompt it, not Google it
– Prompt Engineering
– Gen AI tools (e.g., ChatGPT, Copilot, Gemini)
– Gen AI API in SAS, Python, R
– LangChain, RAG
– Gen AI (e.g., ChatGPT) Risk and Concerns
– Gen AI (e.g., ChatGPT) Implementation Roadmap
– Future of Gen AI/ChatGPT in Biometrics
Navigating Clinical Trial Data Analysis with R: An Introduction to CDISC, R Programming by Example, Dealing with Missing Values, and Reporting with Quarto
Joshua Cook
Thursday, October 17, 2024, 1:30 PM – 5:30 PM ET
Summary: Dive into the world of clinical trial data analysis with this introductory-level workshop. Learn the current principles and requirements of the Clinical Data Interchange Standards Consortium (CDISC) to ensure compliance and standardization in your datasets, gain hands-on experience with R programming using the powerful Pharmaverse packages, discover effective strategies for handling missing values in clinical data to ensure your analyses remain robust and reliable, and finally, streamline your reporting processes with Quarto, integrating reproducible research practices seamlessly into your workflow. This introductory session equips you with the essential background, tools, and examples to excel in clinical trial data analysis using R.
Key R Packages:
- Pharmaverse: A collection of R packages designed to support pharmaceutical data analysis, including admiral, a package for creating Analysis Data Model (ADaM) datasets. Several other key Pharmaverse packages will be utilized.
- mice: A package for multiple imputation of missing data.
- Quarto: A multi-language, next generation version of R Markdown, with many new features and capabilities.
Presenters
