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Record W4396871427

Biologic Therapies: From Complexity to Clinical Practice in a Changing Environment

2015· article· en· W4396871427 on OpenAlexaff
Remo Panaccione, Geert D’Haens, Brian G. Feagan

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsClinical PracticeComputer scienceMedicineComputational biologyBiologyFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

This symposium provided an opportunity for global experts to discuss the challenges posed by the introduction of biosimilars. The impact of the manufacturing process on clinical outcomes, maintaining treatment responses over the long term, and issues surrounding patient management in a changing environment were addressed. The symposium was opened by Prof Panaccione describing the evolution of inflammatory bowel disease (IBD) treatment in the last 20 years and how biologics have improved outcomes. Prof D’Haens provided an explanation of the complexity surrounding biologic drug development and the hurdles facing drug manufacturers when ensuring high quality and consistently performing products over time. Prof Panaccione discussed the clinical challenges in balancing the transition from induction to maintenance therapy in order to provide a clinically relevant and sustained response to therapy. He also discussed the evidence for long-term outcomes with adalimumab for IBD. Prof Feagan highlighted the issues faced by clinicians treating patients with biologics, including the ability to switch between biologics without loss of efficacy or impact on safety, and the need to consider interchangeability between biologic therapies and the potential risk and impact of immunogenicity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.574
GPT teacher head0.623
Teacher spread0.049 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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