Augmented vs Artificial Intelligence for Stratification of Patients with Myositis
Just published ‘Augmented versus Artificial Intelligence for Stratification of Patients with Myositis‘, the correspondence in BMJ Annals of Rheumatic Diseases, discussing the potential of Machine Learning, AI and Big Data to improve the stratification of patients, especially when the available data is limited.
We believe that AI driven approaches are a powerful alternative to human judgement and can improve future classification criteria, especially for patients with rare diseases or when it comes to the analysis of datasets from small cohorts. We also believe that today complimenting a human with the machine is more powerful than replacing a human judgement all together, thus relying on augmented judgement when making the final decision on patient stratification especially when building AI-based models.
Authors: Michael Mahler, Brenden Rossin, Olga Kubassova
1. Pinal-Fernandez I, Mammen AL, On using machine learning algorithms to define clinically meaningful patient subgroups. Ann Rheum Dis2019. doi:
2. Spielmann L, Nespola B, Séverac F, et al, Anti-Ku syndrome with elevated CK and anti-Ku syndrome with anti-dsDNA are two distinct entities with different outcomes. Ann Rheum Dis2019;78:1101–6.
3. Mariampillai K, Granger B, Amelin D, et al, Development of a new classification system for idiopathic inflammatory myopathies based on clinical manifestations and myositis-specific autoantibodies. JAMA Neurol2018;75:1528.
4. Vulsteke J-B, De Langhe E, Mahler M, Autoantibodies at the Center of (sub)Classification—Issues of Detection. JAMA Neurol2019;76:867.
5. Gossec L, Kedra J, Servy H, et al, EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases. Ann Rheum Dis2019. doi:
6. Lilleker JB, Vencovsky J, Wang G, et al, The EuroMyositis registry: an international collaborative tool to facilitate myositis research. Ann Rheum Dis2018;77:30–9.
7. Lundberg IE, Bottai M, Tjärnlund A Response to: ‘Performance of the 2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies in clinical practice’ by Hočevar et al. Ann Rheum Dis2018;77:e91.
8. Malaviya AN, 2017 EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: little emphasis on autoantibodies, why?Ann Rheum Dis2018;77:e77.
About Image Analysis Group (IAG)
IAG, Image Analysis Group is a unique partner to life sciences companies. IAG leverages expertise in medical imaging and the power of Dynamika™ – our proprietary cloud-based platform, to de-risk clinical development and deliver lifesaving therapies into the hands of patients much sooner. IAG provides early drug efficacy assessments, smart patient recruitment and predictive analysis of advanced treatment manifestations, thus lowering investment risk and accelerating study outcomes. IAG bio-partnering takes a broader view on asset development bringing R&D solutions, operational breadth, radiological expertise via risk-sharing financing and partnering models.
Learn more: www.ia-grp.com
Reach out: firstname.lastname@example.org
Follow the Company: Linkedin
About Inova Diagnostics, the Werfen Company
We’re a global market leader in autoimmune diagnostics, delivering highly accurate reagents and highly efficient automation to labs throughout the world. https://www.inovadx.com/about-us
Drug development ideas in osteoarthritis, psoriatic arthritis and scleroderma.
The Invitation-only network for founders &CEOs of the most successful scaleups.
Dr Kubassova is a leading innovator and passionate investor in healthcare.
Presenting new data from Ulcerative Colitis trial at DDW 2023.