DRAG

Estima Scientific is a pioneering technology company revolutionising HEOR through the development and implementation of innovative Artificial Intelligence solutions

Estima was born in 2019 from a desire to speed up access to patient medicines. After long careers in HEOR and software development, Estima’s co-founders decided to start Estima following a chance meeting in London. Estima is bootstrapped and fully controlled by the two founders, with all software projects being funded from business profits.

Tim Reason and Andy Gimblett aim to move us to a world where healthcare research is conducted instantaneously through AI and automation, and where patients are not left waiting any longer than necessary to be given life-saving medicines. 

Our experienced and talented team of expert data scientists, software engineers and health economists strive to increase transparency and efficiency of pharmaceutical research, utilising the best evidence, technology and data science techniques.

Our AI-assisted strategy not only enhances objectivity and elevates the scientific process, but does so without compromising on robust methodology and ensures the highest levels of scientific rigor.

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Meet the Estima team

Tim

Reason

Co-Founder

Tim Reason is co-founder of Estima Scientific and specialises in AI and evidence synthesis, having spent 15 years in the field of HEOR and technology. Tim is Managing Director of Estima, driving business activities, innovation and strategy for the company. Tim’s specialises in the intersection of HEOR, software development and AI to drive better outcomes for patients. Tim is the lead author on two seminal papers in AI for HEOR, showing that AI can be used to automate health economic modelling and NMA.

Andy

Gimblett

Co-Founder

Andy Gimblett is co-founder of Estima Scientific, and specialises in software development in Python, React and a multitude of other technologies. Andy is CTO at Estima and responsible for driving technology and software development for the company. Andy has been a Python developer for over 20 years and has a PhD in Computer Science, with several years working on technology products in healthcare.

Julia

Langham

Principal HEOR Data Scientist

Emma

Benbow

Principal HEOR Data Scientist

Anita

Badhan Sangani

Principal HEOR Data Scientist

Will

Rawlinson

Senior Health Economist

Cheryl

Jones

Project Manager

Yunchou

Wu

HEOR Data Scientist

Marilena

Spei

HEOR Data Scientist

Samantha

Gorun

HEOR Data Scientist

Max

Pollock

Talent Acquisition & Culture Lead

Nisha

Rajput

Business Operations Manager

Mohit

Goswami

Cloud Infrastructure Officer

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Our Solutions

GenAI

We use generative AI to automate elements of the HEOR process, such as systematic reviews, NMAs and economic modelling.

Discover GenAI Solutions

Our Apps

Estima has developed web-based apps for SLRs and analysis tools for connected networks and single arm trials with IPD.

Discover Our Apps

News and Publications

ISPOR EU 2024... complete!

ISPOR EU 2024... complete!

Another great ISPOR has left us feeling inspired and energised to tackle what’s next in HEOR! We proudly delivered the first ever ISPOR short course on Applied Generative AI for HEOR, presented our leading research on GenAI methods for HEOR and connected with many new and familiar faces. If we were not able to meet at ISPOR, click the link below to set up a call with us!

Book a demo / meeting with the Estima Team

ISPOR EU 2024: Posters & Podiums

Innovations in Automated Survival Curve Selection and Reporting of Survival Analyses Through Generative AI – Read here

Revolutionizing Systematic Reviews: The Precision of LLMS in Screening Observational Studies – Read here

Assessing the Generalizability of Automating Adaptation of Excel-Based Cost-Effectiveness Models Using Generative AI – Read here

Matching Insights From Clinical Experts and Generative AI for JCA PICO Validation – Read here

Use of Generative AI for Rapid and Accurate Extraction of PICOs at Scale – Read here         

Generative AI: A Novel Approach to Data Extraction for NMAs in EU JCA – Read here

ISPOR EU 2024: Posters & Podiums

Innovations in Automated Survival Curve Selection and Reporting of Survival Analyses Through Generative AI – Read here

Revolutionizing Systematic Reviews: The Precision of LLMS in Screening Observational Studies – Read here

Assessing the Generalizability of Automating Adaptation of Excel-Based Cost-Effectiveness Models Using Generative AI – Read here

Matching Insights From Clinical Experts and Generative AI for JCA PICO Validation – Read here

Use of Generative AI for Rapid and Accurate Extraction of PICOs at Scale – Read here         

Generative AI: A Novel Approach to Data Extraction for NMAs in EU JCA – Read here

Let’s talk

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