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...
Our new paper combining machine learning and mechanistic modelling for breast cancer surgery-chemotherapy sequencing entitled „CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in...
Our latest manuscript on the Role of Kinematics Assessment and Multimodal Sensorimotor Training for Motion Deficits in Breast Cancer Chemotherapy-Induced Polyneuropathy: A Perspective on Virtual Reality Avatars (by...
Our latest paper, on learning mathematical relations among tumor histopathological and morphological parameters to capture phenotypical growth transitions, entitled "Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast...
Introduction COMPONENS focuses on the research and development of tools, models and infrastructure needed to interpret large amounts of clinical data and enhance cancer treatments and our understanding of...
Our new paper combining machine learning and mechanistic modelling for cancer growth curve extraction entitled "GLUECK: Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics" by Cristian Axenie and...
One new paper combining machine learning and mechanistic modelling of cancer entitled "PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size" by Cristian Axenie and Daria Kurz was accepted...