Speaker Profile

Ph.D., CEO & Founder, Data4Cure

Biography
Janusz Dutkowski is Founder and CEO of Data4Cure, Inc. a company focused on combining systems biology, machine learning and AI to facilitate continuous translation of biomedical data to knowledge. His background is in mathematics and computer science and he has been working at the intersection of mathematics, computer science and biology to develop new data driven technologies to advance the discovery of new biomarkers and precision based therapies. His research contributions include the development of methods for multiscale analysis of molecular networks and integrative methods for biomarker discovery from multidimensional data. He has co authored over 20 research papers published in scientific journals including Nature Biotechnology, Science and Cell.


 Session Abstract – PMWC 2025 Silicon Valley


Track 2

Track Chair: Janusz Dutkowski, Data4Cure

Session: Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
This session will discuss how AI can combine different types of data to improve drug development. Case-studies will span a range of AI technologies (including LLMs and foundation models for omics data, generative AI approaches and knowledge graphs) and their applications from early stage R&D to clinical trials. We will showcase examples of successful projects and collaborations that are making an impact across drug discovery and development pipelines.

 Session Abstract – PMWC 2025 Silicon Valley

Track 2 - February 7 9.00 A.M.-2.45 P.M.


Track Chair:
Gad Getz, Broad Institute

  • PMWC 2025 Luminary Award
    Luminary Honoree: Jensen Huang, Nvidia
  • Keynote
    - Jensen Huang, Nvidia
  • AI Horizons in Precision Medicine: Decoding Tomorrow’s Innovations
    Chair: TBA
    - Ken Drazan, ArsenalBio
  • Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
    Chair: Gad Getz, Broad Institute
    - Yasin Şenbabaoğlu, CZ Biohub San Francisco
    - Asaf Zifran, PrismAI
  • Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
    Chair: Peter Goodhand, GA4GH
    - Chris Lunt, All of Us
    - Karen Miga, UCSC
    - Philip Awadalla, Ontario Institute for Cancer Research
  • Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
    - Janusz Dutkowski, Data4Cure
    - Paul Rejto, Pfizer
  • Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
    Chair: Matthias Troyer, Microsoft
    - Yudong Cao, Zapata Computing

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