InSysBio announces its participation in AACR Annual Meeting 2025 which is to be held from April 25-30, 2025, at McCormick Place Convention Center, Chicago, Illinois, USA. InSysBio team is going to present their QSP modeling services and software to optimize drug development at Booth #4845 and 3 posters in frames of the Meeting, namely:
Monday, April 28, 09:00 AM - 12:00 PM ET:
Location: Poster Section 34, Poster Board Number: 16
Monday, April 28, 02:00 PM - 05:00 PM ET:
Location: Poster Section 28, Poster Board Number: 15
Wednesday, April 30, 09:00 AM - 12:00 PM ET:
Location: Poster Section 38, Poster Board Number: 7
Check out Booth #4845 and posters at AACR Annual Meeting 2025!
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) and Edinburgh, UK (INSYSBIO UK LIMITED). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s cutting-edge QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry and innovative biotech companies. For more information about InSysBio, its solutions and services, visit www.insysbio.com
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10 Jun 2026 17:00
16th InSysBio’s Annual Internal Scientific Meeting
InSysBio held its 16th Annual Internal Scientific Meeting. The Meeting combined a warm and welcoming atmosphere with insightful discussions on key priorities and future opportunities, strengthening the team's strong engagement and collaborative spirit.
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24 Jun 2026 16:51
InSysBio to take part in JuliaCon 2026
InSysBio announces its participation in JuliaCon Global 2026 which is to be held from August 10-15, 2026 at Johannes Gutenberg University Mainz, Germany. Ivan Borisov and Evgeny Metelkin will give a talk "VPopMIP: A Mixed-Integer Programming Approach to Virtual Population Generation"
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