Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
significant advances towards implementation of personalised medicine approaches for …
Machine learning (ML) in medicine: Review, applications, and challenges
AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …
various industries, especially medicine. AI describes computational programs that mimic and …
Extensive review on the role of machine learning for multifactorial genetic disorders prediction
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …
[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives
MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …
tolerance, characterized by the formation of autoantibodies and the consequent …
An introduction to machine learning and analysis of its use in rheumatic diseases
KM Kingsmore, CE Puglisi, AC Grammer… - Nature Reviews …, 2021 - nature.com
Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …
increasingly employed in biomedicine. ML often provides an advantage over explicitly …
The second decade of anti-TNF-a therapy in clinical practice: New lessons and future directions in the COVID-19 era
Since the late 1990s, tumor necrosis factor alpha (TNF-α) inhibitors (anti-TNFs) have
revolutionized the therapy of immune-mediated inflammatory diseases (IMIDs) affecting the …
revolutionized the therapy of immune-mediated inflammatory diseases (IMIDs) affecting the …
Artificial intelligence in rheumatoid arthritis: current status and future perspectives: a state-of-the-art review
Investigation of the potential applications of artificial intelligence (AI), including machine
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …
learning (ML) and deep learning (DL) techniques, is an exponentially growing field in …
Mechanisms underlying DMARD inefficacy in difficult-to-treat rheumatoid arthritis: a narrative review with systematic literature search
NMT Roodenrijs, PMJ Welsing, J van Roon… - …, 2022 - academic.oup.com
Management of RA patients has significantly improved over the past decades. However, a
substantial proportion of patients is difficult-to-treat (D2T), remaining symptomatic after …
substantial proportion of patients is difficult-to-treat (D2T), remaining symptomatic after …
Toward overcoming treatment failure in rheumatoid arthritis
Rheumatoid arthritis (RA) is an autoimmune disorder characterized by inflammation and
bone erosion. The exact mechanism of RA is still unknown, but various immune cytokines …
bone erosion. The exact mechanism of RA is still unknown, but various immune cytokines …
Difficult-to-treat rheumatoid arthritis: Current concept and unsolved problems
R Watanabe, T Okano, T Gon, N Yoshida… - Frontiers in …, 2022 - frontiersin.org
Over the past several decades, the treatment of rheumatoid arthritis (RA) has advanced
significantly, and clinical, structural, and functional remission are achievable therapeutic …
significantly, and clinical, structural, and functional remission are achievable therapeutic …