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Dive Into the New Age of Blood Cancer Treatment

Our Features

Hematological Cancer Diagnosis

Our Disease-Analysis (DA) Network is able to analyse data from a variety of sources and generate a diagnosis of the cancer type, location and severity, known as the patient disease state.

Treatment Option Recommendations

Our Treatment-Option (TO) Network is able to analyse personal patient data, as well as the patient's disease state to analyse and predict patient responses to each treatment option, providing the optimal treatment option as well as a list of advisable and unsuitable treatment methods. 

AIMS Combined Database

Our training database combines data from a variety of data sources, as data from a single source can reflect biases. Data from the HARMONY Alliance, Singapore's NEHR, partnership with various hospitals as well as research papers are processed by a variety of processing algorithms and stored in AIMS' combined database.

Enhanced User Experience

The AIMS website and output interface is built around the needs of healthcare professionals. The interface is customised to individual doctors, rich with features, and easy to use.

Easy Integration with Existing infrastructure

The AIMS Algorithm and output interface is designed meticulously to be easily connected and integrated to any current hospital infrastructure.

Data Privacy and Management

AIMS abides by the following local regulatory guidelines to guarantee personal data protection: (1) Health Insurance Portability and Accountability Act of 1996 (HIPAA) to protect patient privacy via anonymization, (2) Health Science Authority’s (HSA) Regulatory Guidelines for Software Medical Devices (RGSMD), (3) MOH’s Healthcare Cybersecurity Essentials (HCSE) and (4) Personal Data Protection Act (PDPA).

 

We are also certified under Singapore Infocomm Media Development Authority’s (IMDA) Data Protection Trustmark (DPTM), to assure our customers of our compliance with PDPA.

 

To counter cybersecurity concerns regarding personal health information, data streams fed to AIMS are initially sanitised and de-tagged. This allows the algorithm to work with unbiased and anonymous information to identify correlations. We also encrypt all incoming and outgoing data stored in the AIMS server, in accordance with the aforementioned guidelines and regulations, for enhanced protection in the event of a security breach. By doing so, patients’ data will be safeguarded and decisions will be kept impartial.

Fair Use of Artificial Intelligence

AIMS acts in accordance with: (1) MOH’s Artificial Intelligence in Healthcare Guidelines (AIHGIe), (2) IMDA’s strategic initiatives to ensure safe and ethical AI use and (3) IMDA’s A.I. Verify framework.

AIMS is a revolutionary solution.

Our proposed novel solution, AIMS, can aid doctors in their clinical decision-making processes, by not only recommending the best patient-specific treatment in a faster and more accurate manner, but also diagnosing the type and severity of the cancer.

 

Moreover, AIMS can allow for greater cost savings for blood cancer patients, since patients are able to receive timely and accurate initial treatment recommendations, minimizing the need to undergo second-line treatment.

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