The Idea Was to Navigate the Knowledge Universe

Medicine has a knowledge problem

PubMed contains more than 40 million citations to biomedical literature. Europe PMC searches almost 49 million literature records, including more than 12 million full-text records. These collections overlap substantially, but the figures still illustrate the scale of the medical knowledge universe.

The search problem is just as striking. MedCPT, a biomedical information-retrieval system developed by researchers at the US National Library of Medicine, was trained using 255 million query–article pairs from PubMed search logs. That does not mean there are 255 million unique articles. It reflects hundreds of millions of real interactions between questions and potentially relevant medical information.

No doctor can read all of it.

Even within one specialty, it is impossible for an individual to continuously find, review and remember everything that may matter. Important information is spread across many organisations and platforms, changes over time and can become especially difficult to navigate when a clinical question crosses several areas of medicine.

The starting point

That was the starting point for Endocrine Intelligence—and for EndoMind, the first clinician-facing product through which the idea is taking shape.

The aim was to help doctors ask a clinical question, identify relevant information and receive a clear, evidence-cited orientation. The connection between the answer and its supporting material should remain visible so the doctor can examine it and make an independent judgement.

Why EndoMind began with endocrinology

Diabetes and endocrinology were the natural place for me to begin because I am a Consultant Endocrinologist. This is the field in which I can contribute both the original idea and the specialist clinical judgement needed to guide its development.

It is also a broad and rapidly evolving specialty. Questions may span diagnosis, investigations, treatments, technology, complications, pregnancy, metabolism and rare disease.

Starting with endocrinology does not define the boundary of the idea. It provides a clinically grounded beginning: start where the work can be led by deep specialist expertise, learn how to build disease intelligence responsibly and create an approach that could later extend into other fields with the right clinical leadership.

The central idea

Help doctors navigate a knowledge universe that no individual could review alone, and turn relevant information into clear, cited clinical orientation.

Everything we have built since then is shaping EndoMind while developing the broader foundations of Endocrine Intelligence.

Dr Ryizan Nizar MD MRCPUK (Diabetes and Endocrinology)

Sources and notes

Collection sizes checked on 26 September 2026 using PubMed and the Europe PMC live literature API. The 255 million figure comes from the original MedCPT study and refers to PubMed query–article training pairs, not unique publications. Europe PMC includes PubMed records, so the collection figures should not be added together.