Unleashing the Power of AI for Breakthroughs in Cancer Research
Welcome to AI4MedTech
Our mission is to seamlessly integrate data from radiology, histopathology, genomics, and electronic health records, driving forward cutting-edge tools that deliver unprecedented accuracy and clinical insight. By bridging the gap between AI innovation and real-world clinical practice, we are shaping the future of cancer care and paving the way for transformative patient outcomes.
Research Interest
TRANSLATIONAL AI
Artificial intelligence and deep learning, driving the development of cutting-edge algorithms for cancer research.
CANCER BIOLOGY & GENOMICS
Unparalleled expertise in Breast, Pancreatic, Colon, and other specific cancer types.
MEDICAL IMAGING & DATA ANALYSIS
CLINICAL ONCOLOGY & BIOINFORMATICS
News
- We are seeking a motivated PhD candidate to join our research team. Please apply here (Deadline: October 30, 2024): https://www.bci.qmul.ac.uk/about/vacancies/development-of-a-next-generation-multimodal-artificial-intelligence-platform-for-early-breast-cancer-diagnosis/.
- Invited to give a talk at UCL on October 17, 2024.
- Invited to give a talk at the joint networking meeting hosted by the Centre for Predictive In Vitro Models (CPM) and DERI, QMUL on November 20, 2024.
- Our paper ‘Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging’ has been accepted to the MICCAI 2024 Workshop on Clinical Image-based Procedures (CLIP). Please find the paper here: https://link.springer.com/chapter/10.1007/978-3-031-73083-2_8.
- Our paper ‘KRASFormer: a fully vision transformer-based framework for predicting KRAS gene mutations in histopathological images of colorectal cancer’ published in Biomedical Physics & Engineering Express. Please find the paper here: https://iopscience.iop.org/article/10.1088/2057-1976/ad5bed/meta.
‘True-T – Improving T-cell response quantification with holistic artificial intelligence based prediction in immunohistochemistry images’ published in the Computational and Structural Biotechnology Journal. Please find the paper here: https://www.sciencedirect.com/science/article/pii/S2001037023004646.
