AI assistant with potential to sync directly with medical devices
Pascal can collect and interpret a patient’s medical exam results and recommend evidence-based protocols to doctors in real time. Dimas Timmers looks to sync this technology with medical equipment and sensors for precise diagnostics.
Founder and CEO, H-Science
São Paulo, Brazil
Impact Areas: Big Data & Analytics;
Telemedicine, Remote Diagnostics & Monitoring
Roles: Commercialisation, Fundraising
Stage: Growth
Our innovation story: Many years ago, I was diagnosed with a rare disorder called myoclonic dystonia. During consultations with several doctors, I realised that arriving at an accurate diagnosis was not a simple process — some clinicians did not have enough information about the disorder while others did not even consider it. I identified the lack of decentralised information as a problem, and I am glad to have now achieved the means to solve it.
Our product, Pascal, is a medical artificial intelligence (AI) assistant (like Watson/IBM, but for health). It can analyse and answer medical and health-related questions. It is a useful tool for doctors in enabling powerful and precise diagnostics, especially for rare diseases.
Pascal can learn about medical records, patient history, semantic articles, visual recognition, and builds its knowledge base as you share with it. If it successfully integrates with medical equipment and sensors, Pascal can interpret medical exam and process results directly from the equipment. For example, it uses X-ray and medical imaging results to diagnose or collect real-time sensor data.
Some of its potential applications include recognising patterns and images through vision algorithms to diagnose skin diseases, recommending evidence-based medical protocols that allow clinicians to stay current with best practices, explore drugs and nutritional interactions, etc.
Currently, only available on an invite-only basis, we want to open the use of the Pascal platform to the public. The first step of this incredible journey would be a campaign to bring this technology to philanthropic and community hospitals. The next step is to open the door for the developer community to create new skills for Pascal, and to develop their applications with the use of our intelligence. We aim to make our technology accessible to everyone, in every part of the world.
It is in the connectivity between minds, data and discoveries that we explore the answers to many problems. The world needs this — we need to join forces and use the technology we have to save lives.
Our HealthCode journey: We would like people, companies and institutions to collaborate with us on discoveries and new-knowledge and share their own experience in health, so we can improve this incredible tool further. We especially invite members with a hardware initiative and smart devices to come and talk to us to forge partnerships. We are also looking for interested individuals who can introduce Pascal to new geographies.
I am very excited about HealthCode — the tool is fantastic! I am open to sharing my experiences with members and seek feedback on our initiative. I am also willing to help others with their projects. Together we can build great partnerships, do business, and share stories and rich life experiences — across cultures but sharing the same mission, i.e., to transform health.
Connect @ HealthCode.io: Interested in Dimas’ work? Initiate a conversation on the HealthCode.io app!
