Research Projects & Publications

While current top-tier models aim to model drug responses on gene regulatory networks, they are restricted to non-spatial single-cell data. DeepRepurpose aims to extend these insights into the spatial domain. By utilizing Merck’s advanced pipeline compounds for validation, DeepRepurpose aims to achieve an industry-validated drug repurposing framework.

CPR-AI is a machine learning-based system for recommending clinical procedures based on patient demographics and conditions. The system uses a Random Forest model trained on clinical data to predict the most appropriate next procedure for a patient.

SRSBPI is a novel brain prognostic index for lung cancer patients with brain metastases, aiding in therapeutic strategies. Developed for the Department of Oncology-Pathology, Karolinska Institutet/Thoracic Oncology Center, Karolinska University Hospital.

The BPNN is a neurobehavioural analysis deep learning tool developed at the Meletis Lab, Karolinska Institutet, as part of my Master Thesis titled 'Direct Behaviour Prediction from Miniscope Calcium Imaging Using Convolutional Neural Networks.'