Workshops in this years ECCC

Organized by CavX students

Using AI in Scientific Research and Writing

Monday, May 26, 14:00-16:00

AI is an amazing tool and is here to stay. Join us for an engaging workshop designed to explore how we can leverage AI tools to enhance scientific workflows. This two-part session focuses on practical applications of AI in data analysis and scientific communication.

Part 1: AI in Data Analysis for Science: Explore how AI can revolutionize data analysis in scientific research. This segment will cover the basics of machine learning, data visualization, and predictive modeling. Attendees will discuss how to process large datasets efficiently, identify patterns, and generate insights using AI tools.

Part 2: AI for Literature Search and Scientific Writing: Discover how AI can streamline literature review and enhance writing. This segment will introduce AI tools for finding and organizing relevant scientific articles, summarizing key findings, and generating well-structured manuscripts. Participants will also learn how to use AI for language refinement and citation management, boosting productivity and quality (while still maintaining originality).

Workshop: Ion Channels in drug discovery

Monday, May 26, 16:30-18:30

This workshop dives into the critical hurdles in translating ion channel-targeted therapies from basic research to clinical application. While ion channels are well-established as key drug targets, the path to developing effective and safe therapies remains complex. The workshop, held by Michael Ahlijanian, PhD, will examine the challenges and innovative solutions to accelerate ion channel drug discovery. Michael Ahlijanian is a drug discovery professional and talented leader with more than 25 years in the pharma/biotech industry with a strong expertise is in Neuroscience. Dr. Ahlijanian has had success in preclinical candidate delivery and translating preclinical data sets to the clinic, as well as developing therapeutics and translational data sets for Duchenne’s muscular dystrophy.