This paper proposes a quadrilateral approach to advance biopharmaceutical manufacturing by fostering collaboration among biopharma, lab informatics, healthcare systems, and academia. Through a retrospection based on Gary Pisano's analysis and real-world examples like insitro and Spark Therapeutics, we highlight the imperative of continuous process innovation and regulatory collaboration. We emphasize leveraging technological advancements, particularly in machine learning and artificial intelligence (AI), to catalyze a paradigm shift in drug manufacturing and delivery. The discussion extends to fostering academic and business partnerships, akin to Silicon Valley's ecosystem, and engaging healthcare systems in a more integrated role, exemplified by the advent of point-of-care manufacturing. The paper underscores the unique potential of the State of Delaware to propel forward the biopharma manufacturing space, advocating for a coordinated effort to translate scientific advancements into real healthcare benefits.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10759976 | PMC |
http://dx.doi.org/10.32481/djph.2023.11.003 | DOI Listing |
Burns Trauma
January 2025
The Orthopaedic Center, The Affiliated Wenling Hospital of Wenzhou Medical University (The First People's Hospital of Wenling), 333 Chuanan Road, Chengxi Street, Wenling City, Zhejiang Province 317500, China.
Background: Neuronal structure is disrupted after spinal cord injury (SCI), causing functional impairment. The effectiveness of exercise therapy (ET) in clinical settings for nerve remodeling post-SCI and its underlying mechanisms remain unclear. This study aims to explore the effects and related mechanisms of ET on nerve remodeling in SCI rats.
View Article and Find Full Text PDFCurr Pharm Biotechnol
January 2025
Caliciviruses Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
The emergence of multiple antibiotic resistance in recurrent bacterial infections has led to exploring alternative therapeutic options, including using bacteria lysing viruses [bacteriophages] to control recalcitrant infections. Bacteriophages [Phage] and their end products such as enzymes, virus-like particles, and vectors are being used for varied applications such as basic and applied research for the field of phage therapeutics. Phage-based products and services such as viral vectors for gene therapy/vaccines, imaging agents, diagnostics as well as drug delivery agents form a wide range of useful innovative therapeutics that are under development.
View Article and Find Full Text PDFAAPS PharmSciTech
January 2025
University of Maryland, School of Pharmacy, Department of Pharmaceutical Sciences, 20 N Pine Street, Baltimore, Maryland, 21201, USA.
Dosage forms containing Ivermectin (IVER) and Praziquantel (PRAZ) are important combination drug products in animal health. Understanding the relationship between products with differing in vitro release characteristics and bioequivalence could facilitate generics. The goal of this study was to create granulations for each active ingredient, with similar release mechanisms, but substantially different in vitro release rates, and then compressing these granulations into tablets with differing release rates.
View Article and Find Full Text PDFDrug Saf
January 2025
Department of Public Health Pharmacy and Management, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
Introduction: The COVID-19 pandemic accelerated new vaccine development. Limited safety data necessitated robust global safety surveillance to accurately identify and promptly communicate potential safety issues. The African Union Smart Safety Surveillance (AU-3S) program established the Joint Signal Management (JSM) group to support identification of potential vaccine safety concerns in five pilot countries (Ethiopia, Ghana, Kenya, Nigeria, South Africa), accounting for approximately 35% of the African population.
View Article and Find Full Text PDFNPJ Antimicrob Resist
January 2025
Machine Biology Group, Department of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!