Background: Patents on several biologics will expire in Canada in the coming years. As they expire, applications to market subsequent entry biologics (SEBs) may be filed in Canada.
Objective: To provide an understanding of the regulatory pathway and types of trials used for SEB authorization in Canada.
Methods: Health Canada's draft guidance on SEBs was reviewed in regards to key issues and challenges in the development and authorization of SEBs.
Results: Health Canada states that SEBs are not "generic biologics" and their authorization is not a declaration of pharmaceutical or therapeutic equivalence to the originator. The agency recommends that physicians make well-informed decisions regarding therapeutic interchange.
Conclusions: Decisions on how to determine the place of SEBs in clinical practice for biologic-naive patients and those already receiving biologics should be made on a case-by-case basis, considering the patient's needs, the characteristics of the biologic required, and the clinical development programs of the applicable SEB.
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http://dx.doi.org/10.2310/7750.2013.13006 | DOI Listing |
Alzheimers Dement
December 2024
Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Background: Aging is a time-dependent deterioration of physiological functions that occurs in both humans and animals. Within the brain, aging cells gradually become dysfunctional through a complex interplay of intrinsic and extrinsic factors, ultimately leading to behavioral deficits and enhanced risk of neurodegenerative diseases such as Alzheimer's disease (AD). The characteristics of normal aging are distinct from those associated with age-related diseases and it is important to understand the processes that contribute to this pathological divergence.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Division of Cardiovascular Research, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Background: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could be used to predict CVD outcomes from routinely obtained diabetic retinal screening photographs and to compare its performance to a traditional clinical CVD risk score.
Methods: We included 6127 individuals with type 2 diabetes without myocardial infarction or stroke prior to study entry.
Sci Rep
January 2025
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
The ongoing global pandemic caused by the SARS-CoV-2 virus has demanded the urgent search for effective therapeutic interventions. In response, our research aimed at identifying natural products (NPs) with potential inhibitory effects on the entry of the SARS-CoV-2 spike (S) protein into host cells. Utilizing the Protein Data Bank Japan (PDBJ) and BindingDB databases, we isolated 204 S-glycoprotein sequences and conducted a clustering analysis to identify similarities and differences among them.
View Article and Find Full Text PDFFront Robot AI
December 2024
Department of Neurosurgery, Medical University of Graz, Graz, Styria, Austria.
Background: Accurate histological analysis is crucial for confirming intracerebral neoplasia due to the diverse array of potential diagnoses presented by imaging. In the realm of biopsy techniques, the use of robot-based systems is on the rise, primarily owing to their heightened targeting accuracy. The objective of this study was to elucidate the practicality, learning curve and workflow associated with robot-guided biopsies upon their introduction to a neurosurgical centre.
View Article and Find Full Text PDFISA Trans
December 2024
Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, Beijing 100124, China. Electronic address:
Dual-impulse behaviors of rolling bearings have been widely researched for quantitative diagnosis. However, it is challenging to accurately extract entry and exit moments of the fault from noise-contaminated raw signals. To address this issue, a novel quantitative diagnosis method based on digital twin model is proposed to assess the fault severity from the original signal waveform.
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