Relevant bibliographies by topics / Biological Sciences

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biological Sciences'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Biological Sciences"

1

Hoffmann, Antoni, and Wolf-Ernst Reif. "The methodology of the biological sciences: From an evolutionary biological perspective." Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen 177, no. 2 (1988): 185–211. http://dx.doi.org/10.1127/njgpa/177/1988/185.

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LATCHMAN, D. "Biological sciences." Lancet 336, no. 8722 (1990): 1054. http://dx.doi.org/10.1016/0140-6736(90)92507-e.

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HIEDA, Kotaro. "Spectroscopy in biological sciences. IV. Use of synchrotron radiation in biological sciencies." Journal of the Spectroscopical Society of Japan 36, no. 4 (1987): 295–305. http://dx.doi.org/10.5111/bunkou.36.295.

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Nethercott, Sally. "Biological sciences undervalued." Nursing Standard 9, no. 51 (1995): 46. http://dx.doi.org/10.7748/ns.9.51.46.s44.

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Hong, Y. C., L. C. Chow, and W. E. Brown. "Basic Biological Sciences." Journal of Dental Research 64, no. 2 (1985): 82–84. http://dx.doi.org/10.1177/00220345850640021401.

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Lowenberg, B. F., J. E. Aubin, D. A. Deporter, J. Sodek, and A. H. Melcher. "Basic Biological Sciences." Journal of Dental Research 64, no. 9 (1985): 1106–10. http://dx.doi.org/10.1177/00220345850640090101.

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Wells, B. R., and H. Birkedal-Hansen. "Basic Biological Sciences." Journal of Dental Research 64, no. 10 (1985): 1186–90. http://dx.doi.org/10.1177/00220345850640100101.

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ERICKSON, BRITT. "BIOLOGICAL SCIENCES STANDARDS." Chemical & Engineering News 86, no. 44 (2008): 21. http://dx.doi.org/10.1021/cen-v086n044.p021.

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KITAGAWA, Teizo, and Takashi OGURA. "Spectroscopy in biological sciences. II Raman spectroscopy in biological sciences." Journal of the Spectroscopical Society of Japan 36, no. 2 (1987): 147–62. http://dx.doi.org/10.5111/bunkou.36.147.

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Curtis, Vickie. "Online citizen science games: Opportunities for the biological sciences." Applied & Translational Genomics 3, no. 4 (2014): 90–94. http://dx.doi.org/10.1016/j.atg.2014.07.001.

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Dissertations / Theses on the topic "Biological Sciences"

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Wei, Fang. "The Explanatory Autonomy of the Biological Sciences." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/16855.

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This thesis aims to argue for the explanatory autonomy of the biological sciences. According to many philosophers and scientists, the biological sciences do not have their own explanatory autonomy because they either can be reduced to other “hard” sciences such as physics and chemistry, or cannot really explain phenomena since they do not have laws of nature. To maintain the explanatory autonomy of the biological sciences, I first argue against one influential form of reductionism, i.e., explanatory reductionism, by showing that explanation in the biological sciences can be achieved without re
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Burrows, Andrea C. "A social study of women in contemporary biological sciences." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07282008-135540/.

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Edjoc, Rojiemiahd. "Movement interference effects during the tracking of biological and non biological movement." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27840.

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Are the neural and behavioural mechanisms underlying the tracking of another human's movement different from that of tracking the movement of a non-biological system? In an experiment by Kilner, Pauligan, Blakemore, (2003) an interference effect was found during the observation and tracking of incongruent biological movements (another human performing a different action), but not so with incongruent nonbiological movements (a robot performing a different action). They defined this interference effect as the degree of change in the movement trajectory of the observer due to observed movement. R
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Ma, Yong. "THz time domain spectroscopy and its application in biological sciences." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496274.

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Arvestad, Lars. "Algorithms for biological sequence alignment." Doctoral thesis, KTH, Numerisk analys och datalogi, NADA, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2905.

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Murrel, Benjamin. "Improved models of biological sequence evolution." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71870.

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Thesis (PhD)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: Computational molecular evolution is a field that attempts to characterize how genetic sequences evolve over phylogenetic trees – the branching processes that describe the patterns of genetic inheritance in living organisms. It has a long history of developing progressively more sophisticated stochastic models of evolution. Through a probabilist’s lens, this can be seen as a search for more appropriate ways to parameterize discrete state continuous time Markov chains to better encode biological reality, matching the histor
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Au, Y. C. "Synthesising heterogeneity : trends of visuality in biological sciences, circa 1970s-2000s." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1478180/.

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This is a case study of diagrams in a field of biological mechanism research (apoptosis), revealing that mechanism diagrams play a crucial role in the practice of developing mechanistic explanations for cell biology. This thesis supports and extends the existing literature in the following aspects: the relationship between scientific representation and practice (Daston and Galison, 2007), inter-field and inter-level integration in biological practice of mechanism research (Bechtel, 2006; Craver and Darden, 2013), and the assertive and engaging power of diagrams (Bender and Marrinan, 2010; Wood
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Cramer, Karla B. "Impact of constructivism via the biological sciences curriculum study (BSCS) 5E model on student science achievement and attitude." Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/cramer/CramerK0812.pdf.

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The investigation involved implementing constructivist instruction via the Biological Sciences Curriculum Study 5E Instructional Model to determine its' impact on student achievement and attitude. The study included 68 seventh grade Life Science students of average to above average achievement at a community based K-12 school in Florence, Montana. Treatment was implemented during a six week biome unit in which student achievement was assessed through the Evaluation Association Measured Academic Progress and summative assessments. Student attitude was evaluated through the Test of Science Relat
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Westbrooks, Kelly Anthony. "Biological Inference using Flow Networks." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/36.

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Many bioinformatics problems are inference problems: Given partial or incomplete information about something, use that information to infer the missing or unknown data. This work addresses two inference problems in bioinformatics. The rst problem is inferring viral quasispecies sequences and their frequencies from 454 pyrosequencing reads. The second problem is inferring the structure of signal transduction networks from observations of interactions between cellular components. At first glance, these problems appear to be unrelated to each other. However, this work successfully penetrates both
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Goldstein, Goldie L. "Smart Temporal Phase Unwrapping for Biological Objects." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/311573.

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The development of a quantitative phase microscope (QPM) has allowed the ability to acquire real-time phase movies of biological processes. The image processing of the data is critical to the system's ability to measure relative changes. The phase data must be consistent throughout a measurement and background fluctuations must be minimized. The research presented in this work discusses methods to effectively process sequences of phase data such that it can be used to quantify changes within real-time studies of living cells. This work begins by exploring two-dimensional phase unwrapping to
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Books on the topic "Biological Sciences"

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University of Cambridge. Local Examinations Syndicate. Biological sciences. University of Cambridge, 1997.

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Royal Society (Great Britain). Proceedings: Biological sciences. Royal Society of London, 1990.

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Challenor, Sally. Biological physics. Global Media, 2009.

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Buican, D., and D. Thieffry, eds. Biological and Medical Sciences. Brepols Publishers, 2002. http://dx.doi.org/10.1484/m.dda-eb.5.112469.

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National Research Council of Canada. Division of Biological Sciences. s.n, 1985.

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V, Dashek William, and McMillin David, eds. Biological environmental science. Science Publishers, 2008.

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Ghosh, Shyamasree, and Rathi Dasgupta. Machine Learning in Biological Sciences. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8881-2.

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Hammes, Gordon G. Spectroscopy for the Biological Sciences. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471733555.

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Hammes, Gordon G. Spectroscopy for the Biological Sciences. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471733555.

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Stefan Banach International Mathematical Center and Instytut Matematyczny (Polska Akademia Nauk), eds. Stochastic models in biological sciences. Polish Academy of Sciences, Institute of Mathematics, 2008.

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Book chapters on the topic "Biological Sciences"

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Miller, Seumas. "Biological Sciences." In Dual Use Science and Technology, Ethics and Weapons of Mass Destruction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92606-3_8.

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Birke, Lynda. "Biological sciences." In A Companion to Feminist Philosophy. Blackwell Publishing Ltd, 2017. http://dx.doi.org/10.1002/9781405164498.ch19.

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Clayton, Philip. "The Biological Sciences." In Religion and Science. Routledge, 2018. http://dx.doi.org/10.4324/9781315121277-5.

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Richardson, Angelique. "The Biological Sciences." In A Companion to Modernist Literature and Culture. Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470996331.ch6.

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Payne, Roger. "Experiments in Biological Sciences." In Research Methods for Postgraduates: Third Edition. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118763025.ch20.

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Ellis, Alan. "Social and Biological Sciences." In The Harvey Milk Institute Guide to Lesbian, Gay, Bisexual, Transgender, and Queer Internet Research. CRC Press, 2023. http://dx.doi.org/10.1201/9781003421238-9.

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Kato, Goro C. "Cognitive and Biological Sciences." In Temporal Topos Methods for the Philosophy of Natural Sciences. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2420-1_4.

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Meyerson, Émile. "Biological Phenomena." In Explanation in the Sciences. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3414-9_7.

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Giering, Sarah L. C., and Matthew P. Humphreys. "Biological Pump." In Encyclopedia of Earth Sciences Series. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-39193-9_154-1.

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Giering, Sarah L. C., and Matthew P. Humphreys. "Biological Pump." In Encyclopedia of Earth Sciences Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-39312-4_154.

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Conference papers on the topic "Biological Sciences"

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Karastoyanov, Dimitar, and Elena Blagoeva. "3D Printing of Biological Materials." In 2024 9th International Conference on Mathematics and Computers in Sciences and Industry (MCSI). IEEE, 2024. https://doi.org/10.1109/mcsi63438.2024.00038.

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Polsky, Igor. "BIOLOGICAL SCIENCES SOFTWARE ENVIRONMENT." In Theoretical and practical aspects of the formation of scientific area. Publishing House “Baltija Publishing”, 2025. https://doi.org/10.30525/978-9934-26-536-5-2.

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"Permutation Tests for Biological Sciences." In Dec. 12-14, 2022 Lisbon (Portugal). Excellence in Research & Innovation in Education, 2022. http://dx.doi.org/10.17758/eirai16.f1222214.

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WOOLEY, JOHN C. "CYBERINFRASTRUCTURE FOR THE BIOLOGICAL SCIENCES (CIBIO)." In Proceedings of the 2nd International Life Science Grid Workshop, LSGRID 2005. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772503_0002.

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Bajaj, Chandrajit. "Quantitative visualization in the computational biological sciences." In 2012 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2012. http://dx.doi.org/10.1109/pacificvis.2012.6183567.

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"International Congress of Biological and Health Sciences." In International Congress of Biological and Health Sciences. Atena Editora, 2024. http://dx.doi.org/10.22533/at.ed.3282417051.

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Campanella, Luigi. "New frontiers of sensoristic sciences." In Optical Technologies for Industrial, Environmental, and Biological Sensing, edited by Tuan Vo-Dinh, Guenter Gauglitz, Robert A. Lieberman, Klaus P. Schaefer, and Dennis K. Killinger. SPIE, 2004. http://dx.doi.org/10.1117/12.524551.

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Dholakia, Kishan, Michael McDonald, and Gabriel C. Spalding. "Tailored optical landscapes for biological and colloidal sciences." In Biomedical Optics 2004, edited by Dan V. Nicolau, Joerg Enderlein, Robert C. Leif, and Daniel L. Farkas. SPIE, 2004. http://dx.doi.org/10.1117/12.533195.

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Oehmen, Christopher S., Mudita Singhal, Anuj Shah, et al. "Analytics challenge---High-throughput visual analytics biological sciences." In the 2006 ACM/IEEE conference. ACM Press, 2006. http://dx.doi.org/10.1145/1188455.1188769.

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Foster, F. Stuart. "Micro-ultrasound takes off (In the biological sciences)." In 2008 IEEE Ultrasonics Symposium (IUS). IEEE, 2008. http://dx.doi.org/10.1109/ultsym.2008.0029.

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Reports on the topic "Biological Sciences"

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Caffee, M. W., A. Marchetti, J. McAninch, and J. S. Vogel. Tracer-isotope development in environmental and biological sciences. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/8052.

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Oskolkov, Nikolay. Deep Learning for the Life Sciences. Instats Inc., 2024. https://doi.org/10.61700/zjxxse1x3u05y1846.

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This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine.
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Oskolkov, Nikolay. Dimension Reduction Methods for Life Sciences. Instats Inc., 2024. http://dx.doi.org/10.61700/gyxh9ued08xio1347.

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This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional biological data, focusing on their practical applications in life sciences. Participants will gain both theoretical knowledge and practical experience in linear and nonlinear dimensionality reduction methods such as tSNE and UMAP, enhancing their ability to analyze complex datasets effectively. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their
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Geernaert, Gary, Shaima Nasiri, Jeff Stehr, et al. Biological and Environmental Research, Earth and Environmental Systems Sciences Division (formerly Climate and Environmental Sciences Division) Strategic Plan: 2018–2023. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1616535.

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Chaudhary, Aashish. OPEN SOURCE SCALABLE DATA SERVICES AND DATA FUSION FOR BIOLOGICAL AND ENVIRONMENTAL SCIENCES. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1602442.

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Rodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003982.

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The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other c
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Kristofferson, D., and D. Mack. The BIOSCI electronic newsgroup network for the biological sciences. Final report, October 1, 1992--June 30, 1996. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/376397.

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Mather, James, Raymond McCord, Doug Sisterson, and Jimmy Voyles. Biological and Environmental Research: Climate and Environmental Sciences Division: U.S./European Workshop on Climate Change Challenges and Observations. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1104854.

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Joel Cracraft and Richard O'Grady. Biological Sciences for the 21st Century: Meeting the Challenges of Sustainable Development in an Era of Global Change. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1032494.

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Revill, James, and Kai Ilchmann. Assessing the SecBio Platform Proposal for the Biological Weapons Convention. UNIDIR, 2022. http://dx.doi.org/10.37559/wmd/22/bwc/04.

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Biosecurity and biosafety are important aspects of the life sciences and they have been discussed in the Biological Weapons Convention (BWC) on several occasions. Moreover, several initiatives are underway to advance biosecurity and safety. However, these initiatives are often context specific and the effective implementation of biosecurity and biosafety measures around the globe remains inadequate. To address this gap, in 2022, France, Senegal and Togo submitted a revised proposal to the BWC for the “establishment of an international platform dedicated to biosecurity and biosafety: SecBio”. T
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