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Oxford spin out influencing patient care world wide

Optellum, a lung health company aiming to redefine early diagnosis and treatment of lung disease, today announced it received FDA clearance for its “Virtual Nodule Clinic”.

Optellum was co-founded by Oxford cancer researcher Prof. Sir Michael Brady with the mission of seeing every lung disease patient diagnosed and treated at the earliest possible stage, and cured.

Optellum’s initial product is the Virtual Nodule Clinic, the first AI-powered Clinical Decision Support software for lung cancer management. Their platform helps clinicians identify and track at-risk patients and speed up decisions for those with cancer while reducing unnecessary procedures.

Lung cancer kills more people than any other cancer. The current five-year survival rate is an abysmal 20%, primarily due to the majority of patients being diagnosed after symptoms have appeared and the disease has progressed to an advanced stage. This much-needed platform is the first such application of AI decision support for early lung cancer diagnosis cleared by the FDA.

Physician use of Virtual Nodule Clinic is shown to improve diagnostic accuracy and clinical decision-making. A clinical study, which underpinned the FDA clearance for the Virtual Nodule Clinic, engaged pulmonologists and radiologists to assess the accuracy for diagnosing lung nodules when using the Optellum software.

Dr Václav Potěšil, co-founder and CEO of Optellum says:

“This clearance will ensure clinicians have the clinical decision support they need to diagnose and treat lung cancer at the earliest possible stage, harnessing the power of physicians and AI working together – to the benefit of patients.

Our goal at Optellum is to redefine early diagnosis and treatment of lung cancer, and this FDA clearance is the first step on that journey. We look forward to empowering clinicians in every hospital, from our current customers at academic medical centers to local community hospitals, to offer patients with lung cancer and other deadly lung diseases the most optimal diagnosis and treatment.”

QResearch researchers collaborate on two major cancer projects

The Department of Primary Care and Health Sciences recently announced that researchers in the Primary Care Epidemiology Group are joining two landmark projects to combine healthcare data and artificial intelligence to improve cancer diagnosis.

Led by Professor Julia Hippisley-Cox, the team will utilise the QResearch database of routinely collected electronic patient health records for studies on lung and oesophageal cancer diagnosis.

The two projects, announced today as part of a £13m investment from UKRI through their industrial strategy challenge fund, brings together different strengths from academia, charities, digital health and diagnostics companies.

Both projects are part-funded by Cancer Research UK.

DELTA, led by the University of Cambridge, will help to diagnose oesophageal cancer, which has increased 6-fold since the 1990s. Just 15% of people will survive for 5 years or more – often because it’s diagnosed too late.

Barrett’s oesophagus, a condition that can turn into cancer of the oesophagus, is more common in patients who suffer with heartburn. By using a new test for patients with heartburn, called the ‘Cytosponge’, the project aims to diagnose up to 50% of cases of oesophageal cancer earlier, leading to improvements in survival, quality of life and economic benefits for the NHS.

Professor Hippisley-Cox’s team are leading on the clinical epidemiology element of this research programme. The researchers will interrogate the QResearch database with the aim of developing a risk prediction algorithm that will be able to identify those individuals at highest risk of oesophageal cancer for further investigation.

DART (The Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases), led by the University of Oxford, will accelerate lung cancer diagnosis, increasing the likelihood that treatment will be successful. See the full story on this announcement here.

Academics, NHS clinicians, the Roy Castle Lung Cancer Foundation and industrial partners (Roche Diagnostics, GE Healthcare, Optellum) will work with the NHS England Lung Health Checks programme to combine clinical, imaging and molecular data for the first time using artificial intelligence algorithms.

Professor Hippisley-Cox’s team will link to data from primary care to better assess risk in the general population to refine the right at-risk individuals to be selected for screening. It is hoped that this research will define a new set of standards for lung cancer screening to increase the number of lung cancers diagnosed at an earlier stage, when treatment is more likely to be successful. Find out more about this project here.

The QResearch database is one of the largest clinical research databases in Europe, covering 35 million patients from 1,500 GP practices throughout the UK. It includes longitudinal data collected over 25 years that is linked at an individual patient level to Hospital Episode Statistics (HES), mortality data and cancer registration (more details here), making it an extremely rich resource for cancer research.

Oxford to lead new programme of AI research to improve lung cancer screening

UK Research and Innovation, Cancer Research UK and industry are investing more than £11 million in an Oxford-led artificial intelligence (AI) research programme to improve the diagnosis of lung cancer and other thoracic diseases.

Professor Fergus Gleeson at the University of Oxford will lead on a programme of research focusing on accelerating pathways for the earlier diagnosis of lung cancer. Lung cancer is the biggest cause of cancer death in the UK and worldwide, with £307 million/year cost to the NHS in England. The earlier that lung cancer is diagnosed, the more likely that treatment will be successful but currently only 16% patients are diagnosed with the earliest stage of the disease. To address this clinical problem, NHS England is launching a £70 million lung cancer screening pilot programme at 10 sites*.

To improve patient care beyond the current screening guidelines, a team of academics from Oxford University, Nottingham University, and Imperial College London; NHS clinicians from Oxford University Hospitals NHS Trust, Nottingham University Hospitals NHS Trust, the Royal Marsden Hospital, the Royal Brompton Hospital, and University College London Hospitals NHS Foundation Trust; and the Roy Castle Lung Cancer Foundation will join forces with three leading industrial partners (Roche Diagnostics, GE Healthcare, Optellum).

Working with the NHS England Lung Health Check programme, clinical, imaging and molecular data will be combined for the first time using AI algorithms with the aim of more accurately and quickly diagnosing and characterising lung cancer with fewer invasive clinical procedures. Algorithms will also be developed to better evaluate risks from comorbidities such as chronic obstructive pulmonary disease (COPD). In addition, this programme will link to data from primary care to better assess risk in the general population to refine the right at-risk individuals to be selected for screening. It is hoped that this research will define a new set of standards for lung cancer screening to increase the number of lung cancers diagnosed at an earlier stage, when treatment is more likely to be successful.

Professor Fergus Gleeson, Chief Investigator for the programme, said

“The novel linking of diagnostic technologies, patient outcomes and biomarkers using AI has the potential to make a real difference to how people with suspected lung cancer are investigated. By differentiating between cancers and non-cancers more accurately based on the initial CT scan and blood tests, we hope to remove the delay and possible harm caused by repeat scans and further invasive tests. If successful, this has the potential to reduce patient anxiety and diagnose cancers earlier to improve survival and save the NHS money.”

This programme builds on the National Consortium of Intelligent Medical Imaging (NCIMI) at the Big Data Institute in Oxford, one of five UK AI Centres of Excellence. The funding, delivered through UK Research and Innovation’s (UKRI’s) Industrial Strategy Challenge Fund, is part of over £13m government investment in ‘data to early diagnosis and precision medicine’ for the research, development and evaluation of integrated diagnostic solutions. UKRI is also partnering with Cancer Research UK, which is making up to a £3m contribution to the cancer-focused projects. The Oxford-led project is one of six awarded from this competition.

Science Minister, Amanda Solloway MP, said:

“Our brilliant scientists and researchers in Oxford are harnessing world-leading technologies, like AI, to tackle some of the most complex and chronic diseases that we face. Tragically, we know that one in two people in the UK will be diagnosed with some form of cancer during their lifetime. The University of Oxford project we are backing today will help ensure more lives are saved and improved by using state of the art technology to identify cancerous tumours in the lung earlier and more accurately.”

Dr Timor Kadir, Chief Science & Technology Officer at Optellum Ltd, commented:

“Three industry leaders – Roche, Optellum and GE – have joined their expertise in molecular diagnostics, imaging and AI to help diagnose and treat lung cancer patients at the earliest possible stage. The programme results will be integrated into Optellum’s AI-driven Clinical Decision Support platform that supports physicians in choosing the optimal diagnostic and treatment procedures for the right patient at the right time.”

Ben Newton, General Manager, Oncology, at GE Healthcare, said:

“We are very pleased to be working with the University of Oxford via the NCIMI project on this important lung cancer research. By extending our existing NCIMI data infrastructure and creating innovative AI solutions to spot comorbid pathologies, we aim to help identify lung diseases earlier in the UK.”

Geoff Twist, Managing Director UK and Ireland and Management Centre European Agents at Roche Diagnostics Ltd, said:

“We are thrilled with this funding award, because it gives us the opportunity to work towards ground-breaking innovation in early diagnosis and because working in partnership is vital to achieve success in the health system. By bringing together the collective knowledge and expertise of these academic, medical and industry partners, this project has the potential to impact patient care globally through new diagnostic solutions in lung cancer.”

Dr Jesme Fox, Medical Director of the Roy Castle Lung Cancer Foundation, said:

“The majority of our lung cancer patients are diagnosed too late for the disease to be cured. We know that we need to be diagnosing lung cancer at an earlier stage, through screening. This innovative project has the potential to revolutionise lung cancer screening, making it more efficient and most importantly, saving lives. Roy Castle Lung Cancer Foundation is delighted to support this Programme”

Professor Xin Lu, co-Director of the CRUK Oxford Centre and Director of the Oxford Centre for Early Cancer Detection, commented:

“I am delighted that this national multi-site collaborative programme will be led from Oxford by Fergus Gleeson. Involving a world-class team of academics, clinicians, local and global industry, and patient representatives, this research is hugely important for accelerating lung cancer detection.”

 

* The 10 NHS England Lung Health Check sites are:

  • North East and Cumbria Cancer Alliance – Newcastle Gateshead CCG
  • Greater Manchester Cancer Alliance – Tameside and Glossop CCG
  • Cheshire and Merseyside Cancer Alliance – Knowsley CCG and Halton CCG
  • Lancashire and South Cumbria Cancer Alliance – Blackburn with Darwen CCG and Blackpool CCG
  • West Yorkshire Cancer Alliance – North Kirklees CCG
  • South Yorkshire Cancer Alliance – Doncaster CCG
  • Humber, Coast and Vale Cancer Alliance – Hull CCG
  • East of England Cancer Alliance – Thurrock CCG and Luton CCG
  • East Midlands Cancer Alliance – Northamptonshire CCG and Mansfield and Ashfield CCG
  • Wessex Cancer Alliance – Southampton CCG