Gense offers an affordable and portable self-help medical imaging device for in-depth health monitoring and preventive screening at home and clinics. The device targets some of the costliest diseases’ early detection and chronic disease monitoring, specifically in lung, liver, kidney and more
Developed as a home-based medical imaging modality to assist telemedicine, the imaging scan can be self-administrable by users without any medical training. It is also powered by cloud-based machine learning algorithms to generate screening results in real-time.
Gense is the winner of Jumpstarter Global Competition, and the Grand Award winner of Hong Kong ICT Startup Awards. The startup has raised USD 4mil from grants and investment to date, and has developed the capacity to mass manufacture with medical device certification.
The proprietary technology is built by a team of 20 PhDs and researchers from Stanford, Cambridge, and Hong Kong. The team is also coordinating over 8 partnerships with professors on clinical trials, machine learning, biomedical imaging, and mathematical modelling. They are also running a Hong Kong government-sponsored trial in COVID recovery remote monitoring for discharged patients.
The startup has also been approached by healthcare distributors from over 20 markets globally to set up local deployment pipelines, including private hospital networks, clinic chains, health insurers, and multinational conglomerates.