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- Drug Dosage Optimization
Drug Dosage Optimization
AI-driven drug dosage optimization for personalized treatment in rare diseases
Reduction in unnecessary active compound usage
Success rate in early detection and prevention of toxicity and side effects
Days to first clinical impact
Deep learning system prevents overdose and reduces treatment cost by optimizing dosage.
Biotech
Industry
AI Software Development, Analysis of Drug Side Effects
Services
Years of treatment history according to a unified protocol revealed that some patients experienced toxic effects from an excessive amount of the drug. In contrast, others developed no therapeutic effect regardless of dosage.
See what we can do for youSolution
To address inconsistent drug response and prevent toxicity in rare disease patients, we developed an AI-powered system that personalizes dosage based on real-time biochemical data.
Let’s talk about what’s possible
To developed an AI-powered system that personalizes dosage based on real-time biochemical data, Blackthorn AI applied:
Project duration
01 Month
We identified key biochemical patterns that correlate with adverse reactions or lack of effect, laying the foundation for predictive modeling.
02 Month
We ran multiple validation cycles to refine the model’s ability to reduce toxicity risk and predict ineffective administration.
03 Month
The system successfully recommended dose adjustments or complete withdrawal in non-effective cases — delivering both safety and cost-saving impact.We deployed the AI model as a standalone service and connected it to the existing clinical workflows.
Team Size
Delivering Impact
34%
ReductionIn unnecessary active compound usage
97%
Success rateIn early detection and prevention of toxicity and side effects
12
Drug toxisity side effects cases preventedDuring the first 30-day pilot
6x
Faster decision-makingCompared to the original clinical process
15+
Total patientInterventions optimized in the pilot period
30
DaysTo clinical impact from model deployment
100%
Dose reductionRecommended in non-responsive patients (AI flagged discontinuation)
