Catalace offers a suite of healthcare software applications that utilize artificial intelligence and precision medicine to create personalized cancer treatment plans based on patient data, including pathology reports and genomic information. Additionally, Catalace TrialCell generates on-demand summaries of medical journal articles, enabling healthcare professionals to stay informed about the latest research efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Oncologists face challenges in efficiently synthesizing complex patient data, including pathology reports, genomic information, and medical history, to create personalized cancer treatment plans. Staying current with the rapidly expanding volume of medical research literature also presents a significant time burden for healthcare professionals.
Solution
Catalace offers AI-powered software solutions designed to streamline cancer treatment planning and medical research. The Catalace Platform analyzes patient-specific data from EHRs, pathology reports, and genomic profiles to generate personalized treatment recommendations aligned with NCCN guidelines. Catalace TrialCell provides on-demand summaries of medical journal articles, enabling clinicians, researchers, and students to quickly access relevant findings and stay informed about the latest advancements.
Target Audience
The primary target audience includes oncologists seeking to improve treatment planning efficiency and accuracy, as well as doctors, researchers, and students who need to stay updated on the latest medical research.
Features
- AI-driven analysis of patient data, including pathology reports, blood panels, genomic information, and medical history
- Integration with EHR systems for seamless data import
- Personalized cancer treatment plans based on individual patient characteristics and NCCN guidelines
- On-demand summaries of medical journal articles
- Mobile app availability via the Google Play Store and Apple App Store (coming soon)
- Computationally efficient AI algorithms for data processing
- Intelligent systems for parsing and synthesizing data from multiple sources
- Weighted algorithms to generate clinical outputs and next steps