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Measuring bias, burden and conservatism in research funding processes
ReferenceSusan Guthrie , Daniela Rodriguez Rincon , Gordon McInroy , Becky Ioppolo , Salil Gunashekar F1000Research. 2019;8:851. doi: 10.12688/f1000research.19156.1 Background: Grant funding allocation is a complex process that in most cases relies on peer review. …
Advancements in Research on Constructing Physiological and Pathological Liver Models and Their Applications Utilizing Bioprinting Technology
ReferenceZibei Ming , Xinyu Tang , Jing Liu , Banfeng Ruan Molecules. 2023;28(9):3683. doi: 10.3390/molecules28093683 In recent decades, significant progress has been made in liver tissue engineering through the use of 3D bioprinting technology. This technology …
Bioprinting stem cells: building physiological tissues one cell at a time
ReferenceChiara Scognamiglio , Alessandro Soloperto , Giancarlo Ruocco , Gianluca Cidonio American Journal of Physiology-Cell Physiology. 2020;319(3):C465-C480. doi: 10.1152/ajpcell.00124.2020 Bioprinting aims to direct the spatial arrangement in three dimensions …
3D Bioprinting Strategies, Challenges, and Opportunities to Model the Lung Tissue Microenvironment and Its Function
ReferenceMabel Barreiro Carpio , Mohammadhossein Dabaghi , Julia Ungureanu , Martin R. Kolb , Jeremy A. Hirota , Jose Manuel Moran-Mirabal Frontiers in Bioengineering and Biotechnology. 2021;9. Human lungs are organs with an intricate hierarchical structure and …
The bioprinting roadmap
ReferenceWei Sun , Binil Starly , Andrew C. Daly , Jason A. Burdick , Jürgen Groll , Gregor Skeldon , Wenmiao Shu , Yasuyuki Sakai , Marie Shinohara , Masaki Nishikawa , Jinah Jang , Dong-Woo Cho , Minghao Nie , Shoji Takeuchi , Serge Ostrovidov , Ali …
Clinical development success rates for investigational drugs
ReferenceMichael Hay , David W. Thomas , John L. Craighead , Celia Economides , Jesse Rosenthal Nature Biotechnology. 2014;32:40-51. doi: 10.1038/nbt.2786 The most comprehensive survey of clinical success rates across the drug industry to date shows productivity …
In silico methods and tools for drug discovery
ReferenceBilal Shaker , Sajjad Ahmad , Jingyu Lee , Chanjin Jung , Dokyun Na Computers in Biology and Medicine. 2021;137:104851. doi: 10.1016/j.compbiomed.2021.104851 In the past, conventional drug discovery strategies have been successfully employed to develop …
In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
ReferenceS Ekins , J Mestres , B Testa British Journal of Pharmacology. 2007;152(1):9-20. doi: 10.1038/sj.bjp.0707305 Pharmacology over the past 100 years has had a rich tradition of scientists with the ability to form qualitative or semi-quantitative relations …
In silico models in drug development: where we are
ReferenceJanet Piñero , Laura I. Furlong , Ferran Sanz Current Opinion in Pharmacology. 2018;42:111-121. doi: 10.1016/j.coph.2018.08.007 The use and utility of computational models in drug development has significantly grown in the last decades, fostered by the …
Structure-Based Virtual Screening: From Classical to Artificial Intelligence
ReferenceEduardo Habib Bechelane Maia , LetÃcia Cristina Assis , Tiago Alves de Oliveira , Alisson Marques da Silva , Alex Gutterres Taranto Frontiers in Chemistry. 2020;8. The drug development process is a major challenge in the pharmaceutical industry since it …