Results 211 to 220 of about 3,645,587 (361)

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

An HPLC-SEC-based rapid quantification method for vesicular stomatitis virus particles to facilitate process development

Molecular Therapy: Methods & Clinical Development
Virus particle (VP) quantification plays a pivotal role in the development of production processes of VPs for virus-based therapies. The yield based on total VP count serves as a process performance indicator for evaluating process efficiency and ...
Adrian Schimek, Judy K.M. Ng, Ioannes Basbas, Fabian Martin, Dongyue Xin, David Saleh, Jürgen Hubbuch   +6 more
doaj  

Multicenter Comparison of Roche COBAS AMPLICOR MONITOR Version 1.5, Organon Teknika NucliSens QT with Extractor, and Bayer Quantiplex Version 3.0 for Quantification of Human Immunodeficiency Virus Type 1 RNA in Plasma

, 2000
Donald G. Murphy, L Côté, M. Fauvel, Pierre René, Jean Vincelette   +4 more
openalex   +1 more source

Comparative Evaluation of the VERSANT HCV RNA 3.0, QUANTIPLEX HCV RNA 2.0, and COBAS AMPLICOR HCV MONITOR Version 2.0 Assays for Quantification of Hepatitis C Virus RNA in Serum [PDF]

, 2002
Jeffrey J. Germer, Paul J. Heimgartner, Duane M. Ilstrup, William S. Harmsen, G. Douglas Jenkins, Robin Patel   +5 more
openalex   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

From Mechanoelectric Conversion to Tissue Regeneration: Translational Progress in Piezoelectric Materials

Advanced Materials, EarlyView.
This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang, Sílvio Terra Stefanello, Victor Shahin, Yun Qian   +3 more
wiley   +1 more source

Detection and Quantification of Antibodies to Newcastle Disease Virus in Ostrich and Rhea Sera Using a Liquid Phase Blocking Enzyme-Linked Immunosorbent Assay

, 2000
Ricardo Luiz Moro de Sousa, Helio José Montassier, A. A. Pinto   +2 more
openalex   +1 more source

Immunofluorescent Detection and Quantification of Hepatitis A Virus Using Scanning Confocal Microscopy [PDF]

, 2002
Iréna Kukavica-Ibrulj, A. Darveau, Ismaı̈l Fliss   +2 more
openalex   +1 more source

DNA‑Directed Assembly of Photonic Nanomaterials for Diagnostic and Therapeutic Applications

Advanced Materials, EarlyView.
DNA‐directed assembly offers a powerful strategy for constructing structured photonic nanomaterials with precise spatial control. This review provides a comprehensive overview of recent advancements in DNA‐assembled photonic nanomaterials for diagnostics and therapeutics, highlighting key design principles, functionalization strategies, and optical ...
Longjiang Ding, Bing Liu, Andreas Peil, Sisi Fan, Jie Chao, Na Liu   +5 more
wiley   +1 more source

US fails to quantify threat of West Nile virus [PDF]

, 2003
Hannah Hoag
openalex   +1 more source