About Us
At PI MedTech, we believe healthcare should be proactive, precise, and personalized.
Our AI-driven solutions empower patients and clinicians by transforming health data into actionable intelligence.
* Provide real-time health insights
* Anticipate potential risks before they escalate
* Support clinicians in delivering highly personalised care
* Help patients make informed decisions that improve outcomes
Our mission is simple: to help every individual achieve their peak health potential.
Solutions
CardioPlus
CardioPlus is an AI-powered app designed to support heart patients after hospital discharge by seamlessly combining medical safety, patient engagement, and ease of use. It continuously monitors vital signs such as heart rate, blood pressure, and oxygen levels, logs symptoms, and integrates with wearables to provide real-time insights. Smart AI alerts help detect early signs of complications, while medication reminders, adherence tracking, and drug interaction checks ensure patients stay on track with treatment. The app also offers telemedicine, secure messaging, personalised lifestyle guidance, and predictive analytics to help prevent readmissions. With emergency features like an SOS button, family notifications, and a caregiver portal, CardioPlus keeps patients connected to their care team, all while maintaining strict data privacy and compliance. By combining monitoring, AI-driven insights, and patient-centered support, CardioPlus empowers users to safely manage their heart health at home.
LifeSync
LifeSync is the premier AI-powered diabetes management application designed to move beyond simple glucose tracking to deliver a holistic view of user health. Leveraging advanced machine learning, LifeSync analyzes data from physical activity, connected devices, nutritional intake, and emotional well-being to provide personalized, actionable insights that help users maintain optimal Time in Range and reduce glucose variability. The clean, intuitive dashboard instantly highlights daily and weekly trends, enabling users to proactively adjust their lifestyle and achieve better health outcomes with continuous, intelligent support from the palm of their hand.
PiNet
PiNet is our advanced software platform designed to transform biological imaging into meaningful network insights. Whether from microscope imaging, CT scans, X-rays, or other imaging modalities, PiNet extracts complex biological structures and reconstructs them as mathematical graphs for comprehensive network analysis. This enables researchers to uncover hidden patterns, relationships, and dynamics within biological systems with precision and efficiency. The power of PiNet has been validated through peer-reviewed research, with results published in Nature Communications Biology (link), showcasing its ability to bridge imaging data with cutting-edge computational biology.
Founders
Dr. Ana Fouladzadeh
Founder & CEO
Ana is a cancer biologist passionate about transforming cutting-edge research into new therapeutic strategies. She earned her PhD in Cancer Biology from the University of Adelaide, where her work uncovered critical insights into the tumour microenvironment, immune interactions, and cancer progression through advanced CRISPR and in vivo modelling approaches. Currently a Research Associate at the Centre for Cancer Biology, Anahita focuses on glioblastoma — one of the most aggressive brain cancers — developing and testing novel therapies using patient-derived organoids. Her research combines deep biological expertise with innovative experimental models to identify potential breakthroughs for patients in need. Anahita’s work has been published in leading journals, including Neuro-Oncology and Cell Reports Methods, and she has contributed to several high-impact collaborations across academia and medicine. At PI MedTech, she brings her expertise in cancer biology, immunology, and translational research to drive the scientific vision and shape the company’s mission of improving patient outcomes.
Dr. Mohsen Dorraki
Co-founder & CTO
Mohsen is a computer scientist and entrepreneur with a passion for turning cutting-edge research into real-world impact. He is also a Lecturer at the University of Adelaide and a Research Fellow at the Australian Institute for Machine Learning (AIML), where he worked on translating artificial intelligence into practical healthcare solutions. He holds a PhD in Computer Science from the University of Adelaide, where he received the Dean’s Commendation for Doctoral Thesis Excellence. His research sits at the intersection of machine learning, health, and signal processing, with publications in leading journals such as Royal Society Open Science, IEEE, JACC, and Nature Publishing Group. Mohsen has built strong collaborations with industry, government, and the medical community, and brings this unique blend of academic rigor and entrepreneurial drive to PI MedTech. He also serves as an Associate Editor for IEEE Access, is active in the IEEE Engineering in Medicine and Biology Society, and contributes to AI ethics and governance through his role as a member of the University of Adelaide’s Human Research Ethics Committee.
