Comsentimento develops an AI-driven platform for clinical data transformation and research, focusing on enhancing cancer treatment and facilitating access to clinical trials. The platform provides healthcare professionals with actionable insights and support for chronic disease management, improving patient care and treatment adherence.
Funding
$390K 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
Patients with chronic conditions, especially cancer, often face challenges in accessing relevant clinical trials and adhering to complex treatment plans. Healthcare professionals need efficient tools to manage patient data, gain actionable insights, and provide personalized support for improved treatment outcomes.
Solution
Comsentimento offers an AI-powered digital health platform designed to transform clinical data into actionable insights, facilitating access to clinical trials and enhancing chronic disease management. The platform leverages natural language processing (NLP) and machine learning to analyze patient data, identify suitable clinical trials, and provide personalized support for treatment adherence. By connecting patients, healthcare providers, and researchers, Comsentimento aims to improve patient care, accelerate clinical research, and ultimately save lives through data-driven healthcare solutions. The platform also supports family caregivers by providing mental health support and easy access to health information.
Target Audience
The primary target audience includes healthcare professionals (oncologists, nurses, and care coordinators), patients with chronic conditions (particularly cancer), clinical researchers, and family caregivers.
Features
- AI-driven clinical data analysis for actionable insights
- Clinical trial matching based on patient profiles and eligibility criteria
- Personalized support for treatment adherence and chronic disease management
- Secure data storage and privacy protection
- Integration with healthcare provider systems for seamless data exchange
- Mental health support resources for family caregivers
- User-friendly interface for patients, caregivers, and healthcare professionals
- NLP capabilities to extract relevant information from unstructured clinical notes