Shaping the future of healthcare with AI

AI is disrupting all industries these days. When will AI solutions in healthcare become reality? Is it already? What are the real cases of AI and machine learning in genomics, drug discovery and biotech, and what role will “Big data” play in mainstreaming of personalised medicine in future?

More data has been generated in this decade than in the entire previous history of the human race. However, the value of data can truly be realised only if we are able to analyse, interpret and apply it.

These are just some of the topics we will tackle with amazing speakers coming from AstraZeneca, Microsoft, Seven Bridges Genomics, The Science Fund of the Republic of Serbia and Supreme Factory.

Watch the video from a second Imagine IF! panel discussion to tackle hot topics of AI in #healthcare industry!


IMAGINE IF! is the first truly global competition and accelerator program for healthcare science-based ventures. This accelerator provides early-stage healthcare startups with extensive opportunities: mentorship, the potential to secure non-dilutive capital, free advice from leading professional services companies and rapid networking across the Innovation Forum platform.

IMAGINE IF! Serbia is an initiative organised by Innovation Forum and Science Technology Park Belgrade with support of Health Tech Lab organisation.

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This discussion will be led by amazing panelists:



Galiya Warrier is a Technical Program Manager at Microsoft. She works for Commercial Software Engineering team, where she collaborates closely and runs “code with” software development projects with Healthcare customers in the UK, EMEA and US.
Her focus is on the hands-on, practical application of data analytics and ML capabilities in the Healthcare space. Galiya was previously a cloud solution architect at Microsoft UK, as well as a software engineer and consultant for partners in the UK. She holds an MSc. in Computer Science from RWTH Aachen, Germany and University of Trento, Italy.


Milica Djuric Jovicic

Dr Milica Djuric-Jovicic is an Acting Director of Fond za nauku Republike Srbije – Science Fund of the Republic of Serbia, established in 2019 with the aim of providing funding and creating an enabling environment for the continuous development of scientific and research activities in the Republic of Serbia.

She has been Director of Innovation Centre at the School of Electrical Engineering, the University of Belgrade since 2013. She has 10+ years of experience in research and innovation related to different fields of electrical engineering and data science. She is the author or co-author of 47 scientific publications, as well as a reviewer for international journals and research and innovation grants.



Originally a biochemist and immunologist, Paul Agapow moved sideways into the developing fields of computational biology and medicine. After stints working at the Health Protection Agency (UK) and Imperial College London’s Data Science Institute, he moved to the pharmaceutical sector where he is currently as a Health Informatics Director for AstraZeneca Careers, where he uses machine learning and Real World Evidence for better development of therapeutics in oncology.


Vladimir Kovacevic

Vladimir Kovacevic finished his Ph.D. studies at the School of Electrical Engineering, University in Belgrade. He spent 4.5 years working for Intel Corporation on developing algorithms for imaging and video post-processing optimised for mobile platforms and participated in the creation of 4 patent applications, two as a first author. Last 5 years he has been working for Seven Bridges as a bioinformatics analyst on creating, optimising, and running bioinformatics analysis on the cloud, such as the reconstruction of the whole genome, alignment, measurement of accuracy and discovery of neoantigsns – cancer markers used in immunotherapy.

In parallel, he has been teaching a course of Genome Informatics at the School of Electrical Engineering for 3 years. Vladimir created several tools that use machine learning to extract information from genomics data and he participated in several open challenges for the application of machine learning in genomics and health.


We are going to discuss the topics:

  • Introduction to AI, machine learning, data science
  • Industry and academia
  • AI and Healthcare
  • AI and Future



This event is a part of Tech London Advocates Balkans network with a mission to connect the UK and Balkans ecosystems.


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