---

Oxford Immune Algorithmics (OIA) is an award-winning Bio and MedTech company incubated by the University of Oxford which builds technology to move healthcare away from its reliance on population-wide symptom pattern matching toward value-based precision medicine and personalised diagnostics.

OIA operates multinationally with headquarters in the UK (West of London); an AI powerhouse in Abu Dhabi; a biochemical lab in Atlanta, U.S.; and software development teams in India and Bangladesh.

Based on model-driven machine learning developed by the team, OIA's flagship product, Algocyte, has the capacity to learn from each user’s immune system and build personal health profiles, enabling patients and doctors to take more timely, safer and better-informed decisions. 

OIA's products advance current trends in telemedicine, moving from online medical appointments to smart remote blood testing for immune health monitoring.

​The OIA team consists of a group of professionals with advanced degrees in science and medicine. The team has published more than 200 papers in top-ranked journals in the areas of Artificial Intelligence, computational medicine and systems immunology.

---

CE compliant under the  European Medical Devices Directive UK MHRA Registration No. 09450  
Harmonised ​ISO 13485, ISO 14971/DCB0129
​​Patents pending GB1918948.9, GB2020375.8 and PCT/GB2020/05328

Pandemic-ready

Algocyte® is particularly useful to vulnerable patients who may put themselves at risk of infection (e.g. COVID-19) when visiting hospitals or be forced to delay their treatment because they cannot be properly monitored before or after an intervention.


​A world free of preventable diseases

The mission of Algocyte® is to help transform healthcare from a discipline that is heavily based upon statistical symptom pattern-matching into one centred on value-based healthcare and model-driven early diagnosis by exploiting cutting-edge research on immunology, causality in cell biology, and biological complexity that our team has pioneered at some of the world's best research and medical universities.

Read the feedback from patients and doctors Why Use Algocyte?

---

Algocyte® is an AI Medical Assistant, a medically-driven solution that exploits the power of responsible AI to transform medicine.

Algocyte's main features include:
​

• Higher ‘Standard of care’ delivered remotely
• Reduction of hospital/clinic visits & infection risks 
• Better outcome from precision medicine
• Adaptive learning to build immune profiles from each individual's healthy baseline
• Early detection of slow trends and rapid changes
• Regular ingestion (and display) of medical literature to explain and support the platform's diagnosis 
• Aggregation of other users' medical data (e.g. biochem and omics)​
• Automation saves doctors ~2-3 hrs/wk (patient triage, smart treatment comparison, and results flagging), allowing them to spend more time with patients*
  * Independently verified from a survey conducted by NHS Medici Practice in the North of London, July 2020

​AI can help make healthcare more human by giving doctors the gift of time. 

​Algocyte® relieves clinicians of time-consuming tasks, of critical importance when dealing with large backlogs owing to a shortage of medical staff or the pandemic emergency. ​It also enables clinicians to deliver regular contact and care, and healthcare organisations  to reduce pressure on their limited resources.

(c) 2020 Oxford Immune Algorithmics, all rights reserved

Request more information or a demonstration

Screenshots of Algocyte, a full, rapid, remote blood testing end-to-end solution that includes an app (also available from desktop) with 
two-way meaningful communication capabilities between patient and doctor matching symptoms and adverse effects to tests, performed at home, also with Algocyte.

---

Bridging the academy & industry

---

​With over two thousand members, our AI meetup groups in the UK are among the largest in their respective cities and demonstrate our commitment to connecting the academic and industrial communities and bringing responsible AI to healthcare:

---

Reading

London

Oxford

Investors & sponsors

---

Partners & collaborators

---