Our very own Gheorghe was invited to give a lecture on "Dynamic optimization and reinforcement learning for the estimation of muscle activations in predictive simulations" within the lecture
Dr Axenie was invited to hold a talk and present his research on Fusing Biophysics and Machine Learning for Computational Oncology at the Physics-enhanced Machine Learning methods in
Our very own, Gheorghe Lisca, was awarded a highly competitive scholarship from the Alberta Machine Intelligence Institute with the Alberta University in Edmonton, Canada. Gheorghe will visit AMII and
Dr Axenie was invited to hold a talk and present his research on Large-scale Systems Optimization: From Oscillatory Physics to High-dimensional Vector Memories at the International Vector Symbolic
Context Over the past decades, early diagnosis, new drugs and more personalised treatment have led to impressive increases in survival rates of cancer patients. Yet, chemotherapy-induced peripheral neuropathy (CIPN),
Our lab's work has been covered in the Mathematical Oncology Blog. The purpose of this site is to aggregate community-level resources in the field, to both facilitate its
Dr. Axenie was invited to hold a talk at the Integrative Cancer Biology Lab (Markowetz Lab), Cancer Research UK Cambridge Institute, the University of Cambridge under the Cancer
Dr. Axenie was invited to hold a lecture on Mathematical and Computational Oncology in the PULMOSESNS Lecture Series at Universität Ulm (https://www.uni-ulm.de/en/in/pulmosens/qualification-and-equality/lecture-series/). The AKII Lab research local visibility
Our new paper combining machine learning and mechanistic modelling for predicting chemotherapy outcome entitled "PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer"
Our latest paper CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer by Cristian Axenie and Daria Kurz, received the "Springer Best