27 early stage AI concepts and prototypes join NHS AI Lab 27 phase 1 and 2 AI projects have joined…
Read More+Our Mission
We are on a mission to convert everyday breathing patterns
during sleep to
clinically valuable data without burdening the individual.
Our Team
We are a team of clinicians, respiratory medicine & sleep researchers, biomedical engineers, computer scientists, and business leaders from med-tech industry.

Mikesh Udani
CEO
Background in machine learning, signal processing, finance and project management (IIT Kharagpur, Oxford, Carnegie Mellon University, Deutsche Bank, LEV8)

Dr. William Do
MEDICAL DIRECTOR
Clinician by background (incl. A&E) with experience in healthcare app development and patient engagement (Oxford, NHS Entrepreneur Fellow, Oxford Biodesign, LEV8).

Rachel Wyllie
CHAIRPERSON
Former CEO of global medical device company CRF Health (now Signant Health) acquired by Genstar Capital in 2018.

Jose Sanchez
CTO
Experienced technology leader with a track record in growing digital ventures, including medical devices with international reach, disrupting autonomous vehicles and AI/ML powered global e-commerce platforms.

Prof. Maarten De Vos
HEAD OF R&D
Research Professor in AI for Health, KU Leuven.
Visiting Professor University of Oxford.
Held previous consulting roles in various digital health start-ups, founding director for Oxford Biodesign and former head of Computational Intelligence in Health lab at University of Oxford.

Prof. Mona Bafadhel
CLINICAL LEAD
Chair of Respiratory Medicine, Kings College London. Principal Investigator on several clinical trials with pharma and academia.

Dr. Richard Russell
CLINICAL LEAD
Member of National Asthma Guidelines Committee, Clinical Director of West Hampshire Integrated Respiratory Service (serving 2.5 million people).

Prof. Ian Pavord
Clinical Advisor
Head of Respiratory Medicine at Oxford, Ex-Chief Medical Officer of AsthmaUK, has acted as editor of multiple leading respiratory journals.

Dr. Vikaran Khanna
QUALITY ANALYST
Working on Data Classification and Analytics. PhD in ultrafast control of dynamics in materials (University of Oxford).

Dr Hamza Javed
MACHINE LEARNING RESEARCH SCIENTIST
Post-Doctoral research experience in Machine Learning for Biomedical applications (University of Oxford), PhD in Audio Signal Processing (Imperial College London), MEng in Electrical and Electronic Engineering (Imperial College London).

Megan Lockwood
Signal Processing Researcher
Physics graduate from Oxford University, junior research scientist and software developer.

Cihan Dogan
Machine Learning Research Scientist
Experienced Data Scientist with industrial experience applying predictive modelling to various domains such as finance, technology and life sciences. Cihan holds an MSc in Machine Learning and is currently reading a PhD in Computer Science on a part-time basis in the domain of Signal Processing and Machine Learning.

Abhishek Kumar
Business Development & GROWTH
Experience in corporate sales with an AI-driven SaaS start-up in India. Co-founded and scaled Lung Care Foundation, a non-profit in India. Invited for talks at international platforms at United Nations, World Health Organization, and UNDP. Abhishek is a Computer Science Engineer and has an MBA from Saïd Business School, University of Oxford.

George Cunningham
Acoustic Data Analyst
Experience in acoustic engineering, MSc in Acoustic Engineering and BEng in Audio and Acoustic Engineering.
Albus Health's
Journey


Nov 2017
Founded at the University of Oxford


Nov 2017
1st Innovate UK Award & Funding


Nov 2017


March 2018
Incubated at Oxford Foundry


Sept 2018
First Prototype


Dec 2018


May 2019


Dec 2019


Jan 2020
Product Gets CE Marking


Aug 2020
Won UK AI in Healthcare Award


Aug 2020
3rd Innovate UK Award


April 2021
Graduated from Creative Destruction Lab Accelerator at Oxford


April 2021
Abstract on clinical validation of product presented in American Thoracic Surgery Conference 2021


Sept 2021
Abstract on clinical validation of product presented in European Respiratory Society Conference 2021