Rheumatoid arthritis: extra-articular manifestations and comorbidities

FA Figus, M Piga, I Azzolin, R McConnell… - Autoimmunity reviews, 2021 - Elsevier
Although synovitis is the pathological hallmark of rheumatoid arthritis (RA), many extra-
articular manifestations (EMs) and comorbidities likely occur due to the complex, chronic …

Combating physical inactivity during the COVID-19 pandemic

AJ Pinto, DW Dunstan, N Owen, E Bonfá… - Nature Reviews …, 2020 - nature.com
Physical inactivity is common during periods of self-isolation, but for patients with rheumatic
diseases, there are crucial benefits to be gained from maintaining an active lifestyle …

Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine

S Saxena, B Jena, N Gupta, S Das, D Sarmah… - Cancers, 2022 - mdpi.com
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

Atherosclerotic cardiovascular disease prevention in rheumatoid arthritis

AG Semb, E Ikdahl, G Wibetoe, C Crowson… - Nature Reviews …, 2020 - nature.com
Patients with rheumatoid arthritis (RA) are at high risk of developing cardiovascular disease
(CVD). Inflammation has a pivotal role in the pathogenesis of CVD. RA is an inflammatory …

The JAK–STAT pathway: an emerging target for cardiovascular disease in rheumatoid arthritis and myeloproliferative neoplasms

C Baldini, FR Moriconi, S Galimberti… - European Heart …, 2021 - academic.oup.com
Inflammation contributes centrally to cardiovascular diseases, and anti-inflammatory
treatments can reduce cardiovascular events. The JAK–STAT pathway is an emerging target …

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

JS Suri, M Bhagawati, S Paul, A Protogeron… - Computers in biology …, 2022 - Elsevier
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A …

JS Suri, A Puvvula, M Biswas, M Majhail, L Saba… - Computers in biology …, 2020 - Elsevier
Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …

Artificial intelligence in rheumatoid arthritis: current status and future perspectives: a state-of-the-art review

S Momtazmanesh, A Nowroozi, N Rezaei - Rheumatology and Therapy, 2022 - Springer
Investigation of the potential applications of artificial intelligence (AI), including machine
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …

SS Skandha, SK Gupta, L Saba, VK Koppula… - Computers in Biology …, 2020 - Elsevier
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …

AM Johri, KV Singh, LE Mantella, L Saba… - Computers in Biology …, 2022 - Elsevier
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …