Redefining Digitisation of Healthcare Solutions

We are advancing AI-guided diagnostic systems using multimodal data to detect various cancers earlier than traditional methods. Our platforms detect early signs of breast-, colon-, and lung cancers from histopathological and radiology images; and identify skin cancer from dermoscopy images.

Dengue is a mosquito-borne viral infection that is prevalent in tropical and subtropical regions and endemic in over 100 countries. Severe cases may cause internal bleeding, organ damage, shock, or even death. Early intervention is critical in saving lives. Digital Architect is developing an AI-guided ‘Dengue-AI’ system to identify critical stages in Dengue patients so that the optimal treatment can be administered to them.

Early detection of physical, cognitive, social, and language developmental delays in children is crucial for their growth; yet many go undiagnosed due to inconsistent screening, resource constraints, and delays between parental concerns and medical evaluations. Digital Architect is developing ‘PhyMedAI’, which uses advanced computer vision techniques to analyse and measure body poses and angles for early identification of physical disabilities.

Diabetic Retinopathy (DR) is one of the most common and serious complications of diabetes mellitus. It can cause blindness if not detected early. Traditional diagnosis is slow, costly, and error-prone. Digital Architect is developing ‘OphthaAI’, an AI-powered tool to assist ophthalmologists in detecting DR quickly and accurately, improving patient outcomes and reducing the global DR burden.

Digital Architect is driving collaborative efforts to accelerate the adoption of disruptive blockchain-based solutions in healthcare. Blockchain technology is transforming healthcare digitisation, promising significant advancements in the industry.

Medical data is stored across multiple nodes in a decentralised network leveraging blockchain technology to enhance security, privacy, and data integrity.

Through the Internet of Things (IoT) technology, we simplify the collection of distributed data inside healthcare practices, speed information exchange, and increase knowledge processing across collaborative partners.

Data is vital, but meaningless without proper processing. To make data meaningful, we need standardised formats adopted by health organisations. We follow the global HL7 (Healthcare Level 7) standards to facilitate this, serving as the foundation for technological advances in clinical data transfer and storage.

Digital Architect, in collaboration with research partners and hospitals, is advancing a Federated AI service platform. This enables privacy-preserving analysis of siloed, multi-site, and cross-domain healthcare datasets while providing strong compliance and confidentiality guarantees.

We understand Personal Health Information (PHI) is subject to strict privacy regulations. Through this technology, we ensure patients' privacy even in a transparent and immutable blockchain environment.

Encrypted computation ensures that sensitive health data is protected from unauthorised access at all stages: storage, transmission, and processing; improving the overall efficiency and effectiveness of the healthcare system.

Through TEEs we securely process sensitive healthcare data, such as patient records and medical history, ensuring that this data is not exposed to unauthorised entities even if the main operating system is compromised.

The incorporation of Artificial Intelligence (AI) in health informatics has significantly advanced patient care through the analysis of extensive datasets, leading to improved diagnostics, personalised treatments, and predictive analytics.