ExactCure develops a Digital Twin software that simulates drug interactions and effectiveness in patients based on individual characteristics such as age, gender, and genetic factors. This technology aims to prevent medication errors, including underdoses, overdoses, and adverse drug interactions, thereby enhancing patient safety and treatment outcomes.
Funding
$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Medication errors, including underdoses, overdoses, and adverse drug interactions, pose a significant threat to patient safety and treatment outcomes. These errors often stem from a lack of consideration for individual patient characteristics that influence drug effectiveness and interactions. Current methods for predicting drug behavior in individuals are often inadequate, leading to suboptimal medication management.
Solution
ExactCure offers a Digital Twin software solution that simulates drug behavior within individual patients, taking into account factors such as age, gender, kidney status, and genotype. By creating personalized bio-models of drug effects and interactions, ExactCure helps patients and healthcare providers avoid underdoses, overdoses, and harmful drug-drug interactions. The software leverages artificial intelligence to personalize drug models, empowering patients to visualize and predict medication activity within their own bodies. This approach aims to improve medication safety and personalize treatment plans.
Target Audience
The primary target audience includes patients seeking to better understand and manage their medications, as well as healthcare providers aiming to personalize treatment plans and enhance patient safety.
Features
- AI-powered digital twin technology that simulates drug effectiveness and interactions based on individual patient parameters.
- Personalized bio-models that account for age, gender, kidney status, genotype, and other relevant factors.
- Prediction and visualization of medication activity within the patient's body.
- Identification of potential underdoses, overdoses, and drug-drug interactions.