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We are Aidence. Our purpose is to give lung cancer patients a fighting chance using AI.

We rally data scientists, software engineers, medical, regulatory, and business professionals.

About Aidence
Aidence mission

Mission

We provide intelligent software that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.

Aidence vision

Vision

Data is key to improve the prevention, management, and treatment of diseases.

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Roadmap

2015

Founded in Amsterdam by Mark-Jan Harte and Jeroen van Duffelen

 

2017

Top algorithm in Kaggle challenge

 

2017

CE Mark for Veye Lung Nodules

 

2019

€10M series A investment

 

2020

One of the first to renew CE mark under new EU Medical Device Regulation

 

2020

Set-up a consortium to develop a Covid-19 solution, backed by the EU

 

2020

NHS AI award (Phase 4) to improve lung cancer prognosis in the UK

 

2021

€714k grant to expand lung nodule solution, in partnership with Erasmus MC and The Netherlands Cancer Institute

 

2021

Collaboration with AstraZeneca to support early lung cancer diagnosis using AI

 

2021

Preferred partner for the NHS England’s flagship lung cancer screening programme, the Targeted Lung Health Checks

 

2022

Acquired by RadNet, US-based leading provider of diagnostic imaging services

 

2022

Collaboration with Google Health to improve lung cancer screening with AI

 

Future Roadmap

Future Roadmap

Expand the suite of chest applications and augment the lung cancer pathway.

Values

Human sense.

Our purpose is to improve people’s lives, from caregiver to patient.

Humility.

We’re in a hyped industry, but we never exaggerate our capabilities.

Accountability.

We deliver what we promise, on time.

Transparency.

We encourage all stakeholders to speak openly and share their ideas.

Perseverance.

We perfect one product before building the next and never stop improving.

Aidence vision

Aidence is a daughter company of RadNet

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How does an AI-powered nodule clinic sound? Learn more during the Lung Cancer Imaging study day on 8 February

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