Relevant bibliographies by topics / Online genetic control

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  2. Books
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  4. Conference papers
  5. Reports

Academic literature on the topic 'Online genetic control'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Online genetic control"

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Maryuningsih, Yuyun, Topik Hidayat, R. Riandi, and Nuryani Y. Rustaman. "Application of genetic problem base online discussion to improve genetic literacy of prospective teachers." JPBI (Jurnal Pendidikan Biologi Indonesia) 8, no. 1 (2022): 65–76. http://dx.doi.org/10.22219/jpbi.v8i1.19035.

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Genetics is a subject that is quite difficult according to students. Various strategies and methods are used to understand genetics in learning to have genetic literacy. One way of increasing genetic literacy in students is to apply genetic problems based on an online discussion in genetics lectures. The research was conducted to determine the effect of genetic problem-based online discussion on increasing students' genetic literacy. The research design used a pre-posttest control group design. It was carried out experimentally on three treatment groups: the genetic problem base of students, the genetic problem base of educators - students, and the genetic problem base of educators. According to the genetic literacy domain, genetic literacy is measured through multiple-choice tests, including genetic models, meiotic models, and molecular models. Manova analyzed the value of gene literacy, and a post-doc further test was performed to differentiate genetic literacy in the three treatment groups. The results showed that genetic literacy increased in all treatment groups, with the highest increase in the group that applied a genetic problem base focused on student problems.
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Wali, W. A., A. I. Al-Shamma’a, Kadhim H. Hassan, and J. D. Cullen. "Online genetic-ANFIS temperature control for advanced microwave biodiesel reactor." Journal of Process Control 22, no. 7 (2012): 1256–72. http://dx.doi.org/10.1016/j.jprocont.2012.05.013.

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Linkens, D. A., and H. O. Nyongesa. "Genetic algorithms for fuzzy control.2. Online system development and application." IEE Proceedings - Control Theory and Applications 142, no. 3 (1995): 177–85. http://dx.doi.org/10.1049/ip-cta:19951767.

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Zuo, W. "A genetic approach to adaptive control system design." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 211, no. 1 (1997): 15–23. http://dx.doi.org/10.1243/0959651971539650.

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This paper presents an unconventional approach to design of an adaptive digital PID (proportional integral derivative) controller for multivariable plants, which includes two parts: a fast online recursive identifier to provide updated model parameters of the plant and a genetic tuner, which is based on artificial genetic algorithms, to tune on-line the parameter matrices of the controller. An example is presented to show the effectiveness of the approach.
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Feng, Ying Ying, Nan Mu Hui, Zong An Luo, and Dian Hua Zhang. "Optimization of the Hydraulic Control System Utilizing BP Neural Network Control Strategy Based on Genetic Algorithm." Applied Mechanics and Materials 397-400 (September 2013): 1245–52. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1245.

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For the characteristic of the MMS series Thermo-Mechanical Simulator hydraulic control system, using traditional PID control method can not achieve the desired control effect. Basing on genetic algorithm, BP neural network, which has the arbitrary non-linear approximation ability, self-learning ability and generalization ability, has been used into the hydraulic control system to achieve the online adjustment of the weighting coefficients and the adaptive adjustment of PID control parameters. The results of simulation and online tests show that the control effect of hydraulic system has been improved significantly, and the accurate control of hydraulic system hammer displacement has been realized.
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Abdelrahman, Bassant, Kenan Hazirbaba, Omar Mughieda, and Ghassan Abu Lebdeh. "Modelling time complexity of micro-genetic algorithms for online traffic control decisions." International Journal of Information and Decision Sciences 11, no. 2 (2019): 141. http://dx.doi.org/10.1504/ijids.2019.10022638.

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Lebdeh, Ghassan Abu, Kenan Hazirbaba, Omar Mughieda, and Bassant Abdelrahman. "Modelling time complexity of micro-genetic algorithms for online traffic control decisions." International Journal of Information and Decision Sciences 11, no. 2 (2019): 141. http://dx.doi.org/10.1504/ijids.2019.101141.

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Orszulik, Ryan, Jinjun Shan, and Michael Stachowsky. "Membrane structure active flatness control using genetic algorithm with online objective reweighting." Acta Astronautica 68, no. 11-12 (2011): 2012–24. http://dx.doi.org/10.1016/j.actaastro.2010.11.009.

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Liu, Xiao Xiong, Yan Wu, Peng Hui Li, and Heng Xu. "Dynamic Optimization Genetic Algorithms for Flight Control Laws Design." Applied Mechanics and Materials 278-280 (January 2013): 1581–84. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1581.

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The general flight control laws are designed by static designs and dynamic fits. To improve the adaptive capability, the method of control laws design was introduced by using dynamic optimization genetic algorithms. The control parameters were adjusted online in the flight envelope. The dynamic optimization model was built for aircraft longitudinal function. The fitness was set up by applying order track. And then the control parameters were regulated by dynamic optimization genetic algorithms. Finally an example of a longitudinal control augmented stability system of an aircraft is used with a simulation.
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Akram, Muhammad, Muhammad Farooq Sabar, Iqbal Bano, Muhammad Usman Ghani та Mariam Shahid. "SINGLE NUCLEOTIDE POLYMORPHISMS OF TRANSFORMING GROWTH FACTOR-Β1 GENE AS POTENTIAL ASTHMA SUSCEPTIBLE VARIANTS IN PUNJABI POPULATION OF PAKISTAN". Journal of Ayub Medical College Abbottabad 34, № 4(SUPPL 1) (2022): 944–48. http://dx.doi.org/10.55519/jamc-04-s4-10495.

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Background: Candidate gene approach based on case-control model is a valuable strategy to determined disease related genetic variants. Two single nucleotide polymorphisms rs1800469 and rs2241715 in TGF-β1gene have been reported to affect the asthmatic status in different populations. The main focus of this research was to find any relationship between these SNPs and asthma in Pakistani population. Methods Using case-control model, a total of 108 individuals including 52 asthma patients and 56 healthy controls were screened to find asthma susceptibility of variants rs1800469 and rs2241715. These SNPs were genotyped using SNaPshot minisequencing assay followed by capillary electrophoresis using ABI 3130xl genetic analyzer platform. The statistical analysis of genetic data was performed by using SPSS 21, SHEsis online platform and SNPStats online web software. Results: No association with asthma was seen in allelic model for both SNPs but genotypes analyzed under codominant, dominant, over dominant and recessive models of inheritance revealed that SNP rs2241715 is strongly associated with asthma under genotypic model. Conclusion: rs2241715 was found to be a genetic risk factor for asthma in Pakistani population.
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Books on the topic "Online genetic control"

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Leigh, R. John, and David S. Zee. The Neurology of Eye Movements. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199969289.001.0001.

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This new edition comprises a modern synthesis of the anatomical, physiological, and pharmacological substrate for eye movements, including current views on the reflexive and voluntary control of gaze. This synthesis is based on electrophysiological and inactivation studies in macaque, and behavioural studies in humans that incorporate functional imaging and transcranial magnetic stimulation (TMS) in normals, and clinicopathological studies in patients with neurological, visual, or vestibular disorders. Sophisticated experimental paradigms have been applied to both species to explore aspects of cognition, memory, volition, and reward. This large body of research has demonstrated the power of eye movements as experimental tools. The second part of this online resource applies this synthesis to the clinical and laboratory evaluation of patients with abnormal eye movements due to a broad range of disorders - from muscular dystrophy, and genetic disorders, to dementia, including visual and vestibular conditions.
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Book chapters on the topic "Online genetic control"

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Benarroch, Eduardo E. "Cerebellar Circuits." In Neuroscience for Clinicians, edited by Eduardo E. Benarroch. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190948894.003.0033.

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The cerebellum has a critical role in control of timing and coordination of movement, acquisition of skills, and cognitive and affective functions. It participates in motor control via both immediate online adjustments of motor performance and long-term adaptive motor learning, referred to as supervised or error-based learning. Most of the cerebellum is interconnected with association areas of the cerebral cortex. The cerebellum is a major target of genetic, degenerative, metabolic, and immune disorders. Experimental evidence indicates that disrupted Purkinje cell pacemaking activity and synaptic plasticity in the cerebellum have a major role in the pathophysiology of ataxia. The cerebellar circuits also have a major role in the pathophysiology of different types of tremor.
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Baecker, Ronald M. "Computers in medicine and health care." In Computers and Society. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198827085.003.0009.

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As with the chapter on learning, we begin our discussion of health applications by examining influential early visions of the possible role of computers in improving health care and medicine. We then look at the great variety of roles played by current digital technologies in this field. We first consider the online availability of health information. There are two possible sources: one from respected centres of expertise, the other from consumers of medical care, that is, patients, who in working together form what may be viewed as communities of care. There is strong evidence that people are using these online medical resources to become more intelligent guardians of their own health and to support themselves when seeking help from physicians. Next, we examine the care improvements promised by personal health and electronic medical records. Progress here has been disappointingly slow; we shall discuss the mix of technical, cultural, administrative, interpersonal, and financial reasons for the sluggishness in development and deployment. Two particularly interesting cases of medical information are data dealing with adverse drug reactions and interactions, commonly known as adverse drug events (ADEs), and the use of big data and social media in epidemic surveillance and control, by which we are becoming better equipped to indicate, predict, and track outbreaks of disease. Computers have made a huge impact on medical education through the development of human body simulators. There also continue to be more and more advanced uses of technology embedded within the human body, either to augment the functioning of organs or to replace body parts that no longer work, which could possibly result in bionic people or androids in the future. We shall present some examples indicating the pace at which these technologies are developing. Recent advances in understanding the human genome have enabled a new form of medicine called precision medicine. The goal is to use genetic screening of patients to enable more specific treatments than were hitherto possible. Precision medicine also enables what some call designer babies. We shall introduce policy and ethical issues raised by this concept.
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MARA, Daniel, and Dorin VLAD. "Lifelong Learning Process." In Workplace Social Inclusion. BENTHAM SCIENCE PUBLISHERS, 2024. https://doi.org/10.2174/9789815165494124010010.

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“Lifelong learning” refers to the ongoing, voluntary, and self-motivated pursuit of knowledge throughout one's life. It is an attitude and a habit of continuously seeking to acquire new skills, insights, and information. Lifelong learning extends beyond formal education and encompasses various avenues such as self-directed study, online courses, workshops, seminars, reading, and practical experiences. Here are some key aspects and benefits of lifelong learning: Adaptability: In a rapidly changing world, the ability to adapt to new technologies, industries, and societal changes is crucial. Lifelong learning helps individuals stay relevant and adaptable in their personal and professional lives. • Personal Growth: Lifelong learning contributes to personal development, broadening perspectives, and enhancing critical thinking skills. It fosters intellectual curiosity and a sense of fulfillment. Career Development: Continuous learning is essential for career advancement. It allows individuals to acquire new skills, stay updated with industry trends, and remain competitive in the job market. Problem-Solving Skills: Learning new concepts and tackling challenges can improve problem-solving abilities. Lifelong learners tend to approach problems with a more open and creative mindset. Health Benefits: Engaging in intellectually stimulating activities has been linked to cognitive health and a lower risk of cognitive decline as individuals age. Networking and Community Building: Lifelong learning often involves connecting with like-minded individuals, either in person or through online communities. This networking can lead to valuable collaborations, mentorship, and support. Increased Confidence: Mastering new skills and gaining knowledge boosts selfconfidence. Lifelong learners are more likely to embrace challenges and take on new opportunities with a positive mindset. Personal Satisfaction: The pursuit of knowledge for its own sake can bring a sense of fulfillment and joy. Lifelong learners often find satisfaction in the process of learning itself, independent of any external rewards.With the advent of online learning platforms, educational resources, and the availability of information through the internet, lifelong learning has become more accessible than ever. It empowers individuals to take control of their learning journey and shape their own paths of growth and development throughout their lives. Self-directed education that is centred on personal growth is called lifelong learning. Although there isn't a single, agreed-upon definition of lifelong learning, it is typically understood to mean learning that takes place outside of a conventional educational setting like a school, university, or corporate training. Traditionally, lifelong learning is defined as “all learning activity undertaken throughout life, with the aim of improving knowledge, skills, and competencies within a personal, civic, social and/or employment-related perspective” (European Commission [EC], 2001, p. 9) [1] (Fig. 1). Jarvis [3] provided a more detailed description, “The combination of processes throughout a lifetime whereby the whole person - body (genetic, physical and biological) and mind (knowledge, skills, attitudes, values, emotions, beliefs and senses)—experiences social situations, the perceived content of which is then transformed cognitively, emotively or practically (or through any combination) and integrated into the individual person’s biography resulting in a continually changing (or more experienced) person” [1].However, lifelong learning does not need to be limited to unstructured learning. It is best described as voluntary and intended to bring about personal fulfilment. This could be accomplished through informal or formal instruction (Fig. 1). Lifelong learning can assist us in achieving personal fulfilment and pleasure, whether we are following personal interests and hobbies or professional goals [2, 3].By focusing on the concepts and goals that drive us, we are motivated to enhance our own quality of life and sense of worth. It recognises that people have an inherent urge to discover, gain information, and develop. Various projects for lifelong learning that you can take part in include [2]: Self-taught research (e.g., learning a new language, researching a topic of interest, subscribing to a podcast, etc). Discovering a new sport or hobby (e.g., Joining martial arts, learning to ski, learning to exercise, etc). Acquiring knowledge of new technology (smart devices, new software applications, etc.). Gaining fresh information (taking a self-interest course via online education or classroom-based course) [4].
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Dressler, Marc. "Sustainability as Vehicle for Strategic Entrepreneurship." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6942-2.ch007.

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This chapter investigates strategic value of sustainability based on empirical data from German wineries. Two sources served to explore strategic aspects. An online panel filled by German wineries on strategy, innovation, and sustainability was complemented by a netnographic database on winery brand management. The results underline a leapfrogging growth of strategic importance of sustainability for German wine producers. Sustainability is becoming a strategic driver with far-reaching impulses for innovation and business model design. Sustainability accentuates the wineries´ generic positioning and offers potential for reputational differentiation. Sustainability is developing into a profiling vehicle and control instrument in the German wine industry. In particular, customer receptiveness and reputational value for strategic profiling promises sustainability further relevance. A positive performance impact nourishes expectations that sustainability can unfold transformational power in light of the market drive out and low market profitability.
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Caballero, Lisa. "Practical Aspects: Analysis of Notch." In Sequence Analysis Primer. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195098747.003.0007.

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The Notch sequence from Drosophila is used as the sample data. Notch is thought to control cell fate decisions in development It encodes a large, transmembrane protein which may function through cell adhesion, and it was cloned and sequenced in 1985(WhartonetaI., 1985a&b; Kidd et al., 1986). Notch is an ideal sequence to analyze because it contains many features that computers are good at finding. Figure 1 shows a schematic of the Notch protein and its major features. The Notch sequence is available in the Genbank and EMBL sequence database under accession numbers M16153, M16149, M16150, M16151 and M16152 (see Appendix VIS). The most successful way to approach this chapter is to reproduce the analyses. This will familiarize one with a specific software package, and offers a more accurate picture of the volume of output data produced by many programs than could be allowed in the figures in this chapter. Programs for most of the analyses used in this chapter are widely available on IBM PCs, Macintoshes and mainframe computers. The examples have intentionally been kept generic, but programs from the following sources were used: Genetics Computer Group Sequence Analysis Software (Devereux et al., 1984; Genetics Computer Group Inc., Madison, WI),Genbank Online Services (Benton,1990),NationalLibrary of Medicine Services (Benson et al., 1990), and PC Gene (A. Bairoch, University of Geneva; ™ Intelligenetics Inc., Mountain View, CA and Genofit SA). Unless a researcher is studying nontranslatable segments of DNA, the immediate goal upon the isolation of a new gene is usually to deduce the amino acid sequence of its product. The laboratory approach might go from isolating a cDNA clone, determining its nucleotide sequence, locating alarge open reading frame, and translating the sequence into a putative protein. In this case priority is usually given to analyzing the putative protein, with promoter regions introns being sequenced later to elucidate gene regulation. The organization of the following example analysis of Notch reflects these laboratory priorities by beginning with cDNA analysis, moving to protein analysis, and then returning to DNA analysis for the genomic sequence.
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Mollitor, Barrie, and William L. Lowry. "Section VII—Recommended Guidelines for the Care of Power Boilers." In Companion Guide to the ASME Boiler & Pressure Vessel Codes, Volume 1, Sixth Edition. ASME Press, 2023. http://dx.doi.org/10.1115/1.886519_ch2.

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Abstract This chapter covers ASME Boiler and Pressure Vessel Code Section VII, which presents guidelines for safe, reliable operation as well as avoiding unsafe conditions in power boilers. The guidelines apply to power boilers that produce steam for external use at a pressure exceeding 15 psig from the application of heat, which come from the combustion of fuels, from various hot waste gases, or from the application of electrical energy. The bulk of this chapter is devoted to the discussion on Subsection 1 of Section VII, which contains information about industrial, gas- or oil-fired, watertube boilers. Subsection 1 introduces the fundamentals of watertube boilers, the principles of boiler operation, the associated auxiliaries, and appurtenances required by ASME Code Section I. It also introduces the necessary instrumentation, the examinations to be performed by boiler operators and staff, and the requirements for repairs, alterations, and maintenance. Subsection 2 presents an overview of the control of chemical conditions within steam boilers. It provides information relating to internal cleaning and laying-up of boilers, internal corrosion due to deposits within boiler tubes, and corrosion cracking. The discussion covers the types of water treatment problems within boilers, and how each problem may be recognized and corrected so as to prevent boiler failures. Subsection 3 deals with firetube, electric, and utility boilers and Subsection 4 includes all information pertaining to coal-fired and other solid-fuel-fired boilers. Articles in Subsection 4 describe the types of ash and their removal and contain short generic lists of maintenance checks for these boilers. Subsection 5 is a glossary of the terms that may be used when referring to a power boiler and its associated facilities. Section VII is a practical boiler book, a good review for experienced personnel and a good teaching aid for less-experienced personnel. History The original author of this chapter was Edmund W. K. Chang. The second and third editions were updated by Edmund W. K. Chang and Geoffrey M. Halley. The fourth edition was updated by James T. Pillow. The fifth edition was completely revised by William L. Lowry. Barrie Mollitor updated this chapter for the current online edition.
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Conference papers on the topic "Online genetic control"

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Gursoy, Gonenc, and Ilkay Yavrucuk. "Non-Iterative Adaptive Vertical Speed Limit and Control Margin Prediction for Fly-By-Wire Helicopter." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10177.

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Vertical speed is a critical limit for rotorcraft at low height above terrain and low speed flight conditions. In this paper an adaptive estimation algorithm is proposed to estimate allowable control travel on the collective axis at the onset of pre-defined vertical speed limits. A concurrent learning neural network based framework is used to model vertical speed online and used to predict future values of the vertical speed for given collective inputs. The generated online model is used to estimate the control sensitivity of the collective axis to formulate the allowable control travel. A generic nonlinear utility helicopter model is used to show estimation and avoidance of vertical speed limits.
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Mballo, Chams, and J. V. R. Prasad. "A Real Time Scheme for Rotating System Component Load Estimation Using Fixed System Measurements." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12768.

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Accurate and real-time load monitoring of vital components located in the rotor system is important for not only inferring usage and estimating fatigue in those components, but also for developing load alleviation /limiting control schemes. An approach previously developed for online estimation of rotor component loads is evaluated in this paper in which a linear time invariant (LTI) model of helicopter coupled body/rotor dynamics is combined with a Linear Quadratic Estimator (LQE), that is designed to correct LTI model state response using fixed system measurements. The estimation fidelity of the LTI/LQE scheme is evaluated in simulations using a nonlinear model of a generic helicopter for online prediction of rotor blade pitch link loads arising from vehicle maneuvers.
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Wang, Binxu, and Carlos R. Ponce. "High-performance evolutionary algorithms for online neuron control." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3512290.3528725.

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Wang, Xiaohai, and Xiuyun Meng. "UAV Online Path Planning Based on Improved Genetic Algorithm." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8866205.

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Mtibaa, Fatma, Kim-Khoa Nguyen, Vasken Dermardiros, and Mohamed Cheriet. "Online Genetic-Algorithm-based Model Predictive Control Framework for Multi-Zone Buildings." In 2021 European Control Conference (ECC). IEEE, 2021. http://dx.doi.org/10.23919/ecc54610.2021.9654929.

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Na, Wang, Zhang Tian-hong, and Wang Hong-feng. "A Hybrid Genetic Algorithm for Patient Online Assignment Problem in Cloud Hospital." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164015.

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Mukherjee, Shamayita, Shashank Pandey, Sumit Mukhopadhyay, and Nirmal Baran Hui. "Digital pendulum system: Genetic fuzzy-based online tuning of PID controller." In 2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2014. http://dx.doi.org/10.1109/isco.2014.7103912.

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Sutherland, C. "Online genetic re-training of a neural network control system for wind tunnels." In 38th Aerospace Sciences Meeting and Exhibit. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-675.

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Huang, Geng-Qun, and Han-Xiong Huang. "Online Wall Thickness Control for Blow Molded Part Using Hybrid Optimization Method and Fuzzy Iterative Learning Control Algorithm." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68292.

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An online wall thickness control strategy for the extrusion blow molded part was proposed in this work. A simulation-based optimization method combining with finite element, artificial neural network, and genetic algorithm was used to determine the initial die gap profile for a part with required thickness distribution. A multi-channel ultrasonic thickness measurement system was built up to get the in-mold wall thickness of the blow molded part. Then, a feedback closed-loop control system based on fuzzy iterative learning control algorithm was designed and implemented to control the wall thickness of blow molded part. The results showed that the online wall thickness control system developed in this work can automatically achieve a proper die gap profile and get the satisfied part thickness distribution.
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Guo, Bin, Huanli Sun, Ziliang Zhao, and Yixin Liu. "Online Parameter Identification for Fractional Order Model of Lithium Ion Battery via Adaptive Genetic Algorithm." In 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2023. http://dx.doi.org/10.1109/ddcls58216.2023.10166251.

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Reports on the topic "Online genetic control"

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Cristia, Julian P., Santiago Cueto, Ofer Malamud, and Raphaëlle Aulagnon. Streaking to Success: The Effects of Highlighting Streaks on Student Effort and Achievement. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0012912.

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We examine whether highlighting streaks encourages 4th to 6th grade students in Peru to increase their use of an online math platform and improve learning. Sixty thousand students were randomly assigned to receive messages that i) highlighted streaks, ii) provided personalized reminders with positive reinforcement, or iii) provided generic reminders, while others were assigned to a control group. Highlighting streaks and providing personalized reminders significantly increased platform use compared to generic reminders and the control group, with streaks more effective on the intensive margin and personalized reminders more effective on the extensive margin. Highlighting streaks also significantly improved math achievement compared to the control group.
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Breve 24. The pharmaceutical price regulation in El Salvador. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004010.

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This policy brief is based on a webinar presented by Luis Alejandro Rivera, Chief of the Pricing Unit at the Dirección Nacional de Medicamentos (National Directorate of Medicines DNM) in El Salvador. The presentation was given on July 2019. Rising prices of medications are a global concern as healthcare expenditures soar and more patients are unable to access the medicines they need. El Salvador has managed to control and lower the price of prescription medicines for both innovator and generic medicines, while maintaining a well-functioning and cost-saving pharmaceutical market. This publication presents takeaways, such as price setting methods, the identification of appropriate market segments, and the introduction of online monitoring platforms, so that other policymakers may use them when introducing price regulation in their own pharmaceutical markets.
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