AIMS Algorithm
The AIMS Algorithm is a novel deep learning algorithm that is able to accurately diagnose and recommend optimal treatment methods for blood cancer patients in a shorter period of time, effectively reducing the time taken to decide on the treatment regime and reducing the need for second line treatments.
Tangible Time and Cost Savings
AIMS is validated with preliminary trials, with proven time and cost savings.
Variety of Training Data Sources
AIMS's uniquely combined database contains data from over 6 countries and 20 hospitals.
Easy Implementation and Integration
AIMS can be easily integrated with computer systems, enabling users to have fast access to AIMS' services.
Advanced and Accurate Algorithm
The proprietary AIMS Algorithm is built upon a backbone of Reinforcement Deep Learning together with a variety of algorithms that is accurate and efficient.
User-Friendly Interface
AIMS has a meticulously designed user-interface for enhanced ease of use by doctors and clinicians.
Unmatched Accuracy.
Impeccable Reliability.
Unprecedented Innovation.
AIMS Algorithm has been demonstrated to accurately determine hematological malignancies in 96.9% of use cases, as well as propose optimal treatment methods for blood cancer patients. This leads to real time and cost savings, which have been quantitatively validated via preliminary trials.
​
This innovative platform is envisioned to be used and championed by doctors and hospitals around the world, and has undergone rigorous rounds of stress testing and validations. It also includes a robust set of data management and protection procedures which include sanitisation and de-tagging.
We Take Pride in Our Numbers
6
Years of Experience
88%
Doctor Approval
97%
Algorithm Accuracy
Our Partners
