Onkolyze

Research

[2023] Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set
RV Bumbuc, V Yildirim, MV Sheraton

[2023] A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics
Selami Baglamis, Joyaditya Saha, Maartje van der Heijden, Daniël M Miedema, Démi van Gent, Przemek M Krawczyk, Louis Vermeulen, Vivek M Sheraton

[2022] The future of burn care from a complexity science perspective
Paul PM van Zuijlen, Halil Ibrahim Korkmaz, Vivek M Sheraton, Tsjitske M Haanstra, Anouk Pijpe, Annebeth De Vries, Cornelis H van der Vlies, Eelke Bosma, Evelien De Jong, Esther Middelkoop, Fred J Vermolen, Peter MA Sloot

[2022] Computational modeling of the post-burn immune response
H Ibrahim Korkmaz, Vivek M Sheraton, Anouk Pijpe, Bouke B Boekema, Evelien De Jong, Stephan GF Papendorp, Esther Middelkoop, Peter Sloot, Paul PM Van Zuijlen

[2022] Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles
Vivek M Sheraton, Shijun Ma

[2022] Deep learning applied to breast imaging classification and segmentation with human expert intervention
Rory Wilding, Vivek M Sheraton, Lysabella Soto, Niketa Chotai, Ern Yu Tan

[2021] Continuous clonal labeling reveals uniform progenitor potential in the adult exocrine pancreass
Sophie C Lodestijn, Tom van den Bosch, Lisanne E Nijman, Leandro F Moreno, Sophie Schlingemann, Vivek M Sheraton, Sanne M van Neerven, Jasper J Koning, Felipe A Vieira Braga, Nanne J Paauw, Maria C Lecca, Kristiaan J Lenos, Edward Morrissey, Daniël M Miedema, Douglas J Winton, Maarten F Bijlsma, Louis Vermeulen

[2021] Continuous clonal labeling reveals uniform progenitor potential in the adult exocrine pancreass
Sophie C Lodestijn, Tom van den Bosch, Lisanne E Nijman, Leandro F Moreno, Sophie Schlingemann, Vivek M Sheraton, Sanne M van Neerven, Jasper J Koning, Felipe A Vieira Braga, Nanne J Paauw, Maria C Lecca, Kristiaan J Lenos, Edward Morrissey, Daniël M Miedema, Douglas J Winton, Maarten F Bijlsma, Louis Vermeulen

[2021] Effects of combined chemotherapeutic drugs on the growth and survival of cancerous tumours–an in-silico study
Prerna Kaura, Tanya Mishra, Nishith Verma, Indranil Saha Dalal, Vivek Sheraton

[2020] Emergence of spatio-temporal variations in chemotherapeutic drug efficacy: in-vitro and in-Silico 3D tumour spheroid studies
Muniraj Vivek Sheraton, Geraldine Giap Ying Chiew, Valentin Melnikov, EY Tan, KQ Luo, N Verma, PMA Sloot

[2020] Convection and the extracellular matrix dictate inter-and intra-biofilm quorum sensing communication in environmental systems
Chuan Hao Tan, Hyun-Suk Oh, Vivek M Sheraton, Emiliano Mancini, Say Chye Joachim Loo, Staffan Kjelleberg, Peter MA Sloot, Scott A Rice

[2019] Prediction and quantification of bacterial biofilm detachment using Glazier–Graner–Hogeweg method based model simulations
MV Sheraton, VR Melnikov, PMA Sloot

[2019] The Emergence of Biofilms: Computational and Experimental Studies
Vivek Sheraton Muniraj

[2019]Multi-scale based software for effective analysis of anticancer drug efficacy in a computer simulated target environment
Vivek Sheraton Muniraj

[2018] Mesoscopic energy minimization drives Pseudomonas aeruginosa biofilm morphologies and consequent stratification of antibiotic activity based on cell metabolism
Muniraj Vivek Sheraton, Joey Kuok Hoong Yam, Chuan Hao Tan, HS Oh, E Mancini, Liang Yang, Scott A Rice, PMA Sloot

[2018] Parallel performance analysis of bacterial biofilm simulation models
Muniraj Vivek Sheraton, Peter MA Sloot

[2014] Depinning of drops on inclined smooth and topographic surfaces: experimental and lattice Boltzmann model study
Stefan Bommer, Hagen Scholl, Ralf Seemann, Krishan Kanhaiya, Vivek Sheraton M, Nishith Verma

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Onkolyze is dedicated to crafting digital solutions that empower medical professionals in tailoring cancer treatments to individual patients. Our approach integrates cutting-edge technologies, including machine learning, complexity science, and computational fluid dynamics, to provide innovative tools that enhance the personalization of cancer care.