Paweł Widera

IDENTIFICATION OF PROTEOMIC BIOMARKERS FOR PREDICTING OSTEOARTHRITIS PROGRESSION: DATA FROM THE IMI-APPROACH COHORT

Cristina Ruíz‐Romero, L. Lourido, Pablo Domínguez-Guerrero, Valentina Calamia et autres

es, gb, dk, fr, no, fi, nl, se (code pays fourni par la source)

Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study

Paweł Widera, Paco M J Welsing, Samuel Ankomah Danso, Sjaak Peelen et autres

Objectives To efficiently assess the disease-modifying potential of new osteoarthritis treatments, clinical trials need progression-enriched patient populations. To assess whether the application of machine learning results in patient selection enrichment, we developed a machine learning recruitment strategy targeting progressive patients and validated …

gb, nl, fr, no, dk, cn, lt, fi, us (code pays fourni par la source)

OP0224 DISCOVERY PROTEOMICS ANALYSIS IN THE IMI-APPROACH COHORT SHOWS THE DIFFERENTIAL MODULATION AT 24 MONTHS OF PROTEIN PROFILES ASSOCIATED WITH STRUCTURAL OR PAIN PROGRESSION IN OSTEOARTHRITIS

C. Ruiz-Romero, Patrik Önnerfjord, Valentina Calamia, Patricia Fernández‐Puente et autres

es, se, gb, dk, fr, no, nl, us, fi (code pays fourni par la source)

Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort

E.M. van Helvoort, Mylène P. Jansen, Anne C. A. Marijnissen, M. Kloppenburg et autres

OBJECTIVES: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select patients from existing cohorts. This study evaluates the actual 2-year progression within the IMI-APPROACH, …

nl, es, no, fr, dk, us, gb, cn, lt, fi (code pays fourni par la source)

DISCOVERY OF OSTEOARTHRITIS ENDOTYPES VIA CLUSTERING OF BIOCHEMICAL MARKER DATA IN THE IMI-APPROACH COHORT

Federico Angelini, Paweł Widera, Ali Mobasheri, Joseph Blair et autres

gb, fi, dk, se, be, nl, es, no, fr, us (code pays fourni par la source)

Osteoarthritis endotype discovery via clustering of biochemical marker data

Federico Angelini, Paweł Widera, Ali Mobasheri, Joseph Blair et autres

gb, cn, nl, lt, fi, dk, se, be, es, no, fr, us (code pays fourni par la source)

Baseline clinical characteristics of predicted structural and pain progressors in the IMI-APPROACH knee OA cohort

E.M. van Helvoort, Christoph H. Ladel, S.C. Mastbergen, M. Kloppenburg et autres

Objectives To describe the relations between baseline clinical characteristics of the Applied Public-Private Research enabling OsteoArthritis Clinical Headway (IMI-APPROACH) participants and their predicted probabilities for knee osteoarthritis (OA) structural (S) progression and/or pain (P) progression. Methods Baseline clinical characteristics of the IMI-APPROACH …

nl, es, no, fr, gb (code pays fourni par la source)

Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data

Paweł Widera, Paco M J Welsing, Christoph H. Ladel, John A. Loughlin et autres

Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in selecting patients who would benefit from a therapy being tested. Typically majority of selected patients show no or limited disease progression during a trial period. As a consequence, the …

gb, de, nl, fr, us, lt, fi (code pays fourni par la source)

Linking Engineered Cells to Their Digital Twins: A Version Control System for Strain Engineering

Jonathan Tellechea‐Luzardo, Charles Winterhalter, Paweł Widera, Jerzy Kozyra et autres

Abstract As DNA sequencing and synthesis become cheaper and more easily accessible, the scale and complexity of biological engineering projects is set to grow. Yet, although there is an accelerating convergence between biotechnology and digital technology, a deficit in software and laboratory …

au, gb, es (code pays fourni par la source)

Linking Engineered Cells to Their Digital Twins: a Version Control System for Strain Engineering

Jonathan Tellechea‐Luzardo, Paweł Widera, Vı́ctor de Lorenzo, Natalio Krasnogor

1. Abstract As DNA sequencing and synthesis become cheaper and more easily accessible, the scale and complexity of biological engineering projects is set to grow. Yet, although there is an accelerating convergence between biotechnology and computing science, a deficit in software and …

gb, es (code pays fourni par la source)

A machine learning “APPROACH” to recruitment in OA

Paweł Widera

gb (code pays fourni par la source)

Data harmonisation across databases for machine learning model development to predict knee osteoarthritis progression

Samuel Ankomah Danso, Paweł Widera, P. M. J. Welsing, Sjaak Peelen et autres

gb, nl, de, fr, es, no, us (code pays fourni par la source)