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MEDAI CASE STUDIES CONTACT

MEDAI SERVICES ABOUT CASE STUDIES

Accelerate and improve your data-based health-related R&D

AI for data-driven and evidence-based medicine

Reduced time to market and improved quality of predictive digital health solutions

Rapid innovation in medical AI for superior valuation

MedAI Technology

We develop AI that automatically trasnforms biomedical publications into predictive tools for science and medicine, enabling rapid deployment via an API.

MedAI ^TM improves prediction quality and reduces bias in digital and precision health with knowledge-based transfer learning.

MedAI ^TM enhances LLMs by transforming quantitative information into evidence-based models for preclinical and clinical research.

Information retrieval from biomedical scientific articles, clinical trials, systematic reviews

New ways of training explainable AI using the latest worldwide biomedical knowledge

Domain knowledge and informative priors for interpretable transfer learning

Rapid integration with mobile or web apps, digital environments, software services via an API

Services

Evidence

Pre-trained models based on the latest evidence

Synthesis of predictive models from biomedical scientific articles and trials. Clinical expertise. Explainable predictions.

Data

AI development services using real-world data

Streamlined development of AI/ML-powered products and services in digital and precision health. Big and small data, biomarkers, sensors, images, PROMs.

Integration

Predictions and risk scores accessible via an API

AI backend development. API access. Integration with software products and apps.

About Pharmatics

We are experts in data- and evidence-based health AI

With real expertise, real AI, real passion for quality.

We are experts in evidence-based medical AI, learning from data, and software integration. Our MedAI^TM service combines learning from data with up-to-date medical evidence automatically synthesized from scientific biomedical articles (including primary research, clinical trials, systematic reviews). It reduces time to market and improves trustworthiness of developments in digital and precision health, leading to an 18-month reduction in the development time and a 20% improvement in predictive performance over auto-ML methods in external evaluations.

CONTACT

Questions, Queries, Comments?

We would love to hear from you and will respond to your message within 24 Hours!

Pharmatics Limited,
Edinburgh Bioquarter, 9 Little France Road
EH16 4UX, Edinburgh UK

+44 131 658 5361

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