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Case Study: Personalized Medicine & Disease Progression Monitoring with Good AI’s Biomarker Platform

Oct 12

2 min read

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A leading pharmaceutical company specializing in neurodegenerative diseases sought a solution to improve its approach to personalized medicine and disease progression monitoring for patients with Parkinson’s disease (PD). The company required a platform that could integrate multi-omic data and longitudinal clinical data, accurately identify biomarkers, and track disease progression to enhance treatment outcomes.

Parkinson’s disease (PD) is highly heterogeneous, and its progression varies significantly among individuals. Developing treatments for such a complex condition requires identifying specific biomarkers that can predict disease progression and response to therapies on an individual basis.


Some of the key challenges were that the pharmaceutical company had access to vast amounts of clinical and omic data (genomics, proteomics, metabolomics) but needed an AI-driven platform to integrate this data. Identifying reliable biomarkers that could predict disease progression and response to specific treatments was critical for the success of personalized therapies.The solution also has to monitor disease progression in real-time, providing physicians with insights into how the disease was evolving and how the patient was responding to treatment.


Good AI’s AI powered platform was deployed to address these key issues. The platform integrated genetic, transcriptomic, proteomic, and metabolomic data, allowing the AI models to analyze complex interactions and correlations between biomarkers.

Good AI’s platform used advanced algorithms to process the integrated data, identifying critical biomarkers that correlated with different stages of Parkinson's Disease


progression and individual responses to treatment. The platform was also developed to include individual patient profiles based on identified biomarkers and clinical data.

The platform continuously monitored disease progression through biomarker fluctuations. By analyzing real-time patient data, the system could provide physicians with predictive insights, identifying when a patient’s condition was likely to worsen and suggesting modifications to the treatment plan.


The partnership with Good AI enabled the pharmaceutical company to move towards a new era of precision medicine for Parkinson’s disease, setting a foundation for similar applications in other neurodegenerative and complex diseases.



Oct 12

2 min read

1

35

0

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