AI-Powered diagnostic tool for Dementia using multimodal data​

Our unified diagnostic tool provides comprehensive understanding of dementia’s pathology

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Precision staging, prediction, and differentiation

AICURA is at the forefront of transforming healthcare with artificial intelligence (AI). This case study outlines the application of AI in diagnosing and predicting the progression of dementia​.

Preclinical

The challenge

Diagnosing dementia and predicting its progression can be highly challenging due to the multifaceted nature of these diseases and the struggle of traditional diagnostic methods to handle the complexities of various data types.​

Graph maps

Phase I

Solution: cascaded multimodal deep learning model​

AICURA Medical developed TelDem, a cascaded multimodal DL-based system designed to leverage multimodal patient data to improve clinical decision-making in dementia care. We integrated open-source data, including imaging, genetic, behavioral, and cerebrospinal fluid (CSF) biomarkers (BM) from 7,000+ patients. ​

The platform processes data from aggregation to deployment for three key clinical applications:

​✓ Differential diagnosis between healthy individuals, AD, and three sub-types of FTLD
​✓
Disease staging from healthy cognition to mild cognitive impairment (MCI) and AD​
Prediction of progression from MCI to AD​

Imaging
Federated architecture
Data layer
Our platform
Screening & biomarkers

Phase II/III

Key results

AI engine
Inclusion/exclusion criteria
Disease progression prediction
Safety prediction
Response prediction

Personalized disease progression through multimodal data analysis

The integration of AI with multimodal data is key to transforming diagnostics and patient care. As the system adjusts to the specific patterns seen in different types of biomarkers and genetic profiles, it offers more targeted treatment recommendations. By combining diverse patient data, AI models like TelDem enable clinicians and drug-developers to make more accurate, data-driven decisions, supporting earlier interventions and more personalized treatments. This approach also enhances clinical trial design, creating opportunities to improve patient outcomes and advance research in meaningful ways.

What sets AICURA apart?

AICURA provides exclusive access to multimodal data and advanced AI Systems designed to accelerate and de-risk clinical programs. All of this is delivered within a secure and compliant federated infrastructure that prioritizes data integrity and patient privacy.

AI-ready multimodal data

Benefit from transformer-based architecture to handle the complexities of multimodal medical data, and scale rapidly across therapeutic areas. An intuitive user interface, combined with access to Jupyter Notebooks, allows easy visualization and analysis of all data.

✓ Easy-to-implement AI Systems

Take advantage of our workbench to rapidly deploy ready-to-use AI models, fine tuned on proprietary data even with limited labeling. Unlock next-generation insights and easily develop novel use cases.

✓ Federated and secure access

Leverage federated learning to protect data privacy and intellectual property while gaining insights across institutions. Our platform is built with the highest standards of safety and security to comply with strict data governance rules.

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