Sonja Aits

Associate Senior Lecturer

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Personal profile

Research

Understanding and therapeutic targeting of lysosome-dependent cell death

  1. Deciphering the molecular machinery of lysosome-dependent cell death and its interactions with other cell death and survival processes
  2. Understanding the role of lysosome-dependent cell death in diseases with excessive or inhibited cell death
  3. Therapeutic modulation of lysosome-dependent cell death
  4. Development of novel tools and methods for studying lysosome-dependent cell death

 

Artificial intelligence applications in biomedical science

  1. Use of artificial intelligence for biomedical image analysis
  2. Use of artificial intelligence for biomedical text mining
  3. Use of artificial intelligence for protein function and structure prediction and modelling
  4. Use of artificial intelligence for integrating biomedical "big data" such as proteomics and genomics datasets

 

Besides these core areas I am also involved in collaborations related to cell death, lysosomes and artificial intelligence.

I am also part of several local and international research networks:

  • NEUBIAS European Bioimage Analysis Network
  • TRANSAUTOPHAGY
  • Nordic Autophagy Society
  • StrokeSyd
  • AIML@LU
  • BioCARE
  • LINXS (member of AI/Biocompute working group)
  • eHealth@LU
  • NeuroLund
  • COMPUTE
  • eSSENCE

UKÄ subject classification

  • Neurosciences
  • Cell and Molecular Biology
  • Bioinformatics and Systems Biology
  • Biochemistry and Molecular Biology
  • Other Basic Medicine

Keywords

  • Cell death
  • Lysosome
  • Apoptosis
  • High-content microscopy
  • Functional genomics
  • Image analysis
  • Microscopy
  • Mitochondria
  • Screening
  • Bioinformatics
  • Neuroscience
  • Cancer biology
  • Autophagy
  • Phenotypic screening
  • Neurodegeneration
  • Artificial Intelligence
  • Machine learning
  • Computational modelling
  • Computer vision
  • Deep learning

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