Deep learning model for pulmonary nodule characterisation
A convolutional neural network trained on the LIDC-IDRI dataset for benign-vs-malignant classification with external validation. Now working on quantum and photonic models.
A registered nonprofit research foundation supporting multidisciplinary cancer research, biomedical innovation, and free academic mentorship for students across Pakistan and partner institutions worldwide.
To advance multidisciplinary cancer research through rigorous science, novel imaging technology, artificial intelligence, and the open mentorship of the next generation of biomedical scientists.
The Cancer Cure and Research Foundation was established in 2017 with a defined purpose: to create an environment where serious scientific work in cancer imaging, nuclear medicine, radiochemistry, and AI-driven diagnostics could happen alongside the open, free, and structured mentorship of students.
Our work spans cancer imaging, PET/CT research, radiopharmaceutical development, biomedical engineering, deep learning for medical imaging, theranostics, pharmacokinetics and pharmacodynamics, hardware and camera systems, and translational oncology research. We support students from BS through PhD with laboratory access, technical mentorship, and publication assistance — at no cost to the student or their institution.
The foundation operates from Pakistan under registered nonprofit status, with collaborations spanning national and international research centres. Our commitment is to scientific rigor, academic integrity, and the careful, evidence-based advancement of cancer research as a global discipline.
Quantitative imaging biomarkers across CT, MR, PET/CT and SPECT/CT for diagnosis, staging and response assessment.
Join us →Protocol optimisation, quantitative SUV/SUL methodology, response criteria, and dual-tracer cardiac and oncological imaging.
Join us →Theranostic radionuclide therapy, dosimetry, novel tracer development, and integration with conventional oncology pathways.
Join us →Synthesis and quality control of radiolabelled compounds for diagnostic and therapeutic applications in oncology.
Join us →Deep learning models for detection, segmentation, characterisation, and response prediction across cancer imaging.
Explore →Development of theranostic agents, novel diagnostic tracers, and translational pathways from bench to clinical trial.
Join us →Volumetric tumour and organ segmentation, semi-automated pipelines, and validation against expert annotation.
Join us →Hardware and camera systems, detector technology, novel imaging device prototyping, and clinical translation.
Join us →A convolutional neural network trained on the LIDC-IDRI dataset for benign-vs-malignant classification with external validation. Now working on quantum and photonic models.
A modular desktop workstation supporting multi-vendor PET/CT review, organ quantification, lesion characterisation, and response evaluation. New projects on DL and lesion characterization.
Development and quality-control protocols for novel theranostic radioligands targeting solid-tumour biomarkers, with translational validation. New projects on CXCR4 and ICI radiolabeling.
Working with universities, hospitals and research centres across Pakistan and internationally.
Free supervised research opportunities for BS, MS and PhD students. Laboratory access, technical mentorship, equipment usage, and full publication support — provided at no cost to qualifying students from collaborating institutions.
View Application ProcessApplications now open for our seventh student research cohort. Successful applicants will join active research lines in cancer imaging, AI-driven diagnostics, radiochemistry, and biomedical engineering, with full mentorship and publication support.
Join us →Whether you're a prospective student, a researcher interested in collaboration, or a supporter who wants to learn more about our work — we'd love to hear from you. Use the form, or reach us directly through the channels listed here.