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Get Inspired by How GPT Solutions Accelerate Biotech Developments

What you will learn:

  • How people in different positions use GPTs to increase their efficiency
  • Comparison of a dedicated GPT model versus ChatGPT
  • Examples of applications of the dedicated GPT model for biomedical applications
  • Tips & Tricks of using GPT models
  • GPT user: pitfalls and challenges

About the webinar:

Join us for a webinar exploring the use of GPT-like models in the biotech industry for increasing daily productivity and automating small tasks.

Hear from our colleagues in different positions within a biotech-focused company on how they use GPTs to improve their workflow and learn about specific examples of how dedicated GPT models have been used in biomedical applications such as drug discovery and personalized medicine.

We will compare dedicated GPT models to ChatGPT and discuss the benefits and limitations of each, along with tips and tricks for using GPT models effectively. In addition, we will explore the major challenges that GPT users face and provide guidance on how to mitigate risks. Finally, we will discuss how to provide access to a customized GPT model on an internal architecture, including data privacy and security considerations.

Overall, this webinar offers attendees a comprehensive overview of the potential applications of GPT-like models in the biotech industry, along with practical guidance for implementing and using these models effectively.

Meet our speakers:

Tomasz Jetka, PhD
Director of Data Science at Ardigen
Tomasz is a passionate mathematician turned data scientist, specializing in life sciences and biomedical applications. His research experience, ranging from wet lab experiments to rigorous theorems, has allowed him to push the boundaries of computational biology with novel discoveries in information theory.
 
However, Tomasz's true calling was working at the forefront of AI-driven drug discovery. He has an impressive track record of successful projects in biology, bioinformatics, target identification, and drug repurposing, collaborating closely with pharmaceutical research scientists and internal programs. Tomasz specializes in extracting insights from large biological and biomedical datasets. He played a significant role in developing a comprehensive AI system for target identification, and was part of the pre-clinical team that delivered the first end-to-end AI drug to the clinic.
 
Currently, Tomasz leads the Data Science Center of Excellence at Ardigen, where he oversees and drives the company's data science and artificial intelligence initiatives.
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Tomasz Gargas
Data Scientist at Ardigen

Tomasz Gargas is an accomplished data scientist with expertise in sequential data and knowledge graphs. He has successfully collaborated on multiple natural language processing projects in various languages including Polish, English, and French, utilizing classical and deep-learning techniques such as text classification, topic modeling, and named entity recognition. Being an amateur pianist, Tomasz has also applied machine learning to harmonic progressions.

Currently, Tomasz is part of the Ardigen team, where he specializes in ML techniques applied to large knowledge graphs for the generation of new scientific hypotheses. Tomasz's strong analytical skills, combined with his passion for innovation and problem-solving, make him a valuable asset to any team.

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Explore our collection of webinars focused on the revolutionary impact of AI on drug discovery. Engage with industry experts, gain insightful knowledge, and see firsthand how AI is transforming the biotech landscape.

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