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Coupling high-throughput and modeling approaches to streamline early-stage process development for biologics.
Biotechnol Prog
January 2025
Purification Development, Genentech, South San Francisco, California, USA.
Platforms have long been implemented for downstream process development of monoclonal antibodies (mAbs) to streamline development and reduce timelines. These platforms are also increasingly being used for other complex biologics modalities. While development has traditionally been conducted at the lab bench scale in a sequential manner, automated miniaturized and parallelized approaches like RoboColumns and resin plates have also been implemented for chromatographic screening.
View Article and Find Full Text PDFA roadmap for understanding sulfadoxine-pyrimethamine in malaria chemoprevention.
Parasitology
January 2025
Swiss Tropical and Public Health Institute, University of Belgrade, Allschwil, Switzerland.
Clinical Research Network: JHCRN Infrastructure and Lessons Learned.
Clin Transl Sci
January 2025
Johns Hopkins Clinical Research Network, Baltimore, Maryland, USA.
Clinical research studies are becoming increasingly complex resulting in compounded work burden and longer study cycle times, each fueling runaway costs. The impact of protocol complexity often results in inadequate recruitment and insufficient sample sizes, which challenges validity and generalizability. Understanding the need to provide an alternative model to engage researchers and sponsors and bringing clinical research opportunities to the broader community, clinical research networks (CRN) have been proposed and initiated in the United States and other parts of the world.
View Article and Find Full Text PDFAdaptive Just-in-Time Intervention to Reduce Everyday Stress Responses: Protocol for a Randomized Controlled Trial.
JMIR Res Protoc
January 2025
Department of Psychology, The Ohio State University, Columbus, OH, United States.
Background: Personalized approaches to behavior change to improve mental and physical health outcomes are needed. Reducing the intensity, duration, and frequency of stress responses is a mechanism for interventions to improve health behaviors. We developed an ambulatory, dynamic stress measurement approach that can identify personalized stress responses in the moments and contexts in which they occur; we propose that intervening in these stress responses as they arise (ie, just in time; JIT) will result in positive impacts on health behaviors.
View Article and Find Full Text PDFAI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses.
Front Oncol
January 2025
School of Engineering, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Background: Non-muscle-invasive Bladder Cancer (NMIBC) is notorious for its high recurrence rate of 70-80%, imposing a significant human burden and making it one of the costliest cancers to manage. Current prediction tools for NMIBC recurrence rely on scoring systems that often overestimate risk and lack accuracy. Machine learning (ML) and artificial intelligence (AI) are transforming oncological urology by leveraging molecular and clinical data to enhance predictive precision.
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