Air pollution and life expectancy in the USA: Do medical innovation, health expenditure, and economic complexity matter?

Regardless of a country's income level, air pollution poses a significant environmental threat to human health. Long-term exposure to air pollution often triggers cardiovascular and respiratory diseases. Thus, air pollution significantly reduces life expectancy worldwide. The USA is one of the world's largest polluters of CO2 emissions, often used to represent air pollution. In this context, the main objective of this study is to examine the relationship between air pollution and life expectancy in the USA. In doing so, we control for the role of medical innovation, health expenditures, economic complexity, and government effectiveness using data for the period 1995-2019. The results indicate the existence of a cointegration relationship in the proposed model. The long-run coefficients are statistically positive for medical innovation and negative for CO2 emissions, economic complexity, and government effectiveness. On the other hand, health expenditures are ineffective in terms of life expectancy. Accordingly, medical innovation raises life expectancy, whereas CO2 emissions, economic complexity, and government effectiveness decrease it. Higher economic prosperity and health expenditures are not always beneficial to life expectancy. Therefore, policymakers need to take action to reduce air pollution and increase the comprehensiveness of economic prosperity benefits and health expenditure efficiency.

Legacy of Compassion: The Life and Contributions of Dr. Ronald Joseph Garst in Advancing Orthopaedic Surgery in Bangladesh.

Dr. Ronald Joseph Garst, a distinguished spine surgeon and missionary, significantly impacted the field of orthopaedic surgery in Bangladesh, especially during and after the country's Liberation War, when the nation had no orthopaedic specialists. His experiences during Bangladesh's struggle for independence inspired him to establish rehabilitation centers for injured freedom fighters and to found the Rehabilitation Institute and Hospital for the Disabled (RIHD), which later became the National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Bangladesh's first tertiary-level trauma center. In Bangladesh, Dr. Garst was critical in organizing care for injured freedom fighters, setting up a central limb and brace center, and launching a post-graduate training program for orthopaedics, physiotherapists, and occupational therapists. He successfully raised funds, attracted international support, and provided essential training to Bangladeshi doctors, nurses, and limb-makers.  Dr. Garst's legacy extends beyond his medical achievements; his humanitarian spirit and dedication to helping the underprivileged earned him honorary citizenship in Bangladesh. He remained committed to supporting ongoing efforts at RIHD, frequently visiting Bangladesh and contributing equipment and training materials until his passing. Dr. Garst's contributions, such as initiating morning academic sessions at RIHD, continue to influence the orthopaedic community in Bangladesh. This article explores Dr. Garst's remarkable journey, his influence on orthopaedic surgery in Bangladesh, and the enduring impact of his work.

Chemical Innovation and Agrifood Systems in Switzerland: A Short Perspective of the Sustainable Development Goals.

Chemical innovation plays a key role to support the agrifood system with the final goal to deliver secure, healthy food for a growing population. The underlying link between chemical innovation, agrifood system and the 2030 sustainable agenda may have received less attention than it deserves. Here we provide an overview of the agrifood system and the Sustainable Development Goals (SDGs), alongside distinct aspects of the innovation with a focus on the Swiss reality are presented. Finally, the critical and unspoken role of soil for a wide range of SDGs is underlined. Some major axes on how chemical research and technologies can set new pathway to innovate through soil are discussed.

Complex artificial intelligence models for energy sustainability in educational buildings.

Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. This paper aims to introduce a study that investigates several artificial intelligence-based models to predict the energy consumption of the most important educational buildings; schools. These models include decision trees, K-nearest neighbors, gradient boosting, and long-term memory networks. The research also investigates the relationship between the input parameters and the yearly energy usage of educational buildings. It has been discovered that the school sizes and AC capacities are the most impact variable associated with higher energy consumption. While 'Type of School' is less direct or weaker correlation with 'Annual Consumption'. The four developed models were evaluated and compared in training and testing stages. The Decision Tree model demonstrates strong performance on the training data with an average prediction error of about 3.58%. The K-Nearest Neighbors model has significantly higher errors, with RMSE on training data as high as 38,429.4, which may be indicative of overfitting. In contrast, Gradient Boosting can almost perfectly predict the variations within the training dataset. The performance metrics suggest that some models manage this variability better than others, with Gradient Boosting and LSTM standing out in terms of their ability to handle diverse data ranges, from the minimum consumption of approximately 99,274.95 to the maximum of 683,191.8. This research underscores the importance of sustainable educational buildings not only as physical learning spaces but also as dynamic environments that contribute to informal educational processes. Sustainable buildings serve as real-world examples of environmental stewardship, teaching students about energy efficiency and sustainability through their design and operation. By incorporating advanced AI-driven tools to optimize energy consumption, educational facilities can become interactive learning hubs that encourage students to engage with concepts of sustainability in their everyday surroundings.

Synthesis of aminopropyl triethoxysilane/melamine incorporated superhydrophilic membranes for simultaneous removal of oil, metals, and Salt ions from produced water.

Water treatment has turned out to be more important in most societies due to the expansion of most economies and to advancement of industrialization. Developing efficient materials and technologies for water treatment is of high interest. Thin film nanocomposite membranes are regarded as the most effective membranes available for salts, hydrocarbon, and environmental pollutants removal. These membranes improve productivity while using less energy than conventional asymmetric membranes. Here, the polyvinylidene fluoride (PVDF) membranes have been successfully modified via dip single-step coating by silica-aminopropyl triethoxysilane/trimesic acid/melamine nanocomposite (Si-APTES-TA-MM). The developed membranes were evaluated for separating the emulsified oil/water mixture, the surface wettability of the membrane materials is therefore essential. During the conditioning step, that is when the freshwater was introduced, the prepared membrane reached a flux of about 27.77 L m-2 h-1. However, when the contaminated water was introduced, the flux reached 18 L m-2 h-1, alongside an applied pressure of 400 kPa. Interestingly, during the first 8 h of the filtration test, the membrane showed 90 % rejection for ions including Mg2+, and SO42- and ≈100 % for organic pollutants including pentane, isooctane, toluene, and hexadecane. Also, the membrane showed 98 % rejection for heavy metals including strontium, lead, and cobalt ions. As per the results, the membrane could be recommended as a promising candidate to be used for a mixture of salt ions, hydrocarbons, and mixtures of heavy metals from wastewater.

Environmental policy stringency, ICT, and technological innovation for achieving sustainable development: Assessing the importance of governance and infrastructure.

Achieving sustainable development goals (SDGs) has garnered significant attention from academia and policymakers worldwide. In this study, we examine the impact of ICT, technological innovation (TI), and environmental policy stringency (EPS) on SDI, considering the moderating role of governance quality (GQI) and transport infrastructure (TIS). A comprehensive dataset of 17 advanced nations is utilized from 1996 to 2021. To capture the dynamic and extreme marginal impacts of these policy instruments on SDG attainment, we employ the advanced technique of Feasible Generalized Least Square (FGLS). The results demonstrate that ICT has a positive and significant effect on SDGs, particularly when combined with high levels of governance quality (GOV) and transport infrastructure (TIS). Likewise, TI has a positive impact on SDGs, especially in the presence of strong governance. Furthermore, EPS exhibits a positive association with SDGs. The findings also reveal that while governance hurts SDGs, this effect diminishes when combined with higher levels of ICT, TI, and EPS, and when TIS positively moderates the relationships. The robustness estimations using DOLS and PCSE methods validate the FGLS findings. These results underscore the importance of ICT, TI, and EPS in advancing sustainable development. Moreover, they highlight the significance of good governance and robust transport infrastructure in maximizing the positive effects of these factors. These findings hold implications for policymakers and stakeholders involved in promoting sustainable development.

Pepea Pamoja:† Applying the Ecological Validity Framework to co-develop a wellbeing and behavioural training program for caregivers of young children with autism in low-resource settings of Kenya and the United States.

BACKGROUND: Autism is a complex neurodevelopmental disability with global prevalence of one in 100 individuals. Poor access to interventions in both under-resourced regions of high-income countries and low- and middle-income countries has deleterious effects on the health and wellbeing of individuals with autism and their families. Our objective was to utilize a reciprocal innovation framework and participatory methods to adapt and co-develop a culturally grounded group-based wellbeing and naturalistic developmental behavioural intervention (NDBI) training program for caregivers of young children with autism to be implemented in Kenya and rural Indiana. METHODS: This study was conducted within the Academic Model Providing Access to Healthcare (AMPATH) program. An evidence-informed Naturalistic Developmental Behavioral Intervention (NDBI) previously utilized in Indiana was adapted and iteratively refined using the Ecological Validity Framework (EVF) by a team of US and Kenyan disability experts. Key adaptations to the program were made across the EVF domains of language, persons, metaphors/content, concepts, goals, methods, and context. RESULTS: Substantial cultural adaptations were made to the NDBI following the EVF model, including the addition of traditional Kenyan cultural practices, use of narrative principles, and focus on daily routines over play. Pepea, the adapted program, involves 10 group sessions covering content in basic education on autism, positive caregiver coping strategies, and behavioural skills training to promote child communication and reduce challenging behaviour. Key adaptations for Pepea were integrated back into a US NDBI caregiver training program. CONCLUSIONS: This study fills a critical gap by detailing the adaptation process of a caregiver wellbeing and naturalistic developmental behavioural training program for caregivers of children with autism in low-resource settings. Our next steps are to report on mixed-methods outcomes from pilot implementation. Our long-term goal is to apply these insights to advance sustainable and scalable autism intervention services across the globe.

Does the digital economy improve comprehensive total factor productivity in China?

Total factor productivity is an important symbol of high-quality economic development. At present, the question of whether the digital economy can infuse fresh impetus into enhancing total factor productivity has emerged as a prominent concern in China. This paper constructs a new undesirable output to measure comprehensive total factor productivity (CTFP) with the slack-based measure (SBM) undesirable Malmquist-Luenberger index by using 2011-2020 Chinese provincial panel data. Then, this paper explores the impact of the digital economy (DIG) on CTFP with a fixed effects (FE) panel model and a mediating effect model. The results show that CTFP increases by an average of 3.9%, technical efficiency contributes -1.1%, and the contribution rate of technological progress is 5.0%. Technological progress is the main source of CTFP growth. The empirical findings show that the DIG has a positive and significant impact on CTFP. This paper conducts various robustness tests, and the results remain consistent with the previous conclusion. Moreover, mechanism tests suggest that the promoting effect of the DIG on CTFP can be attributed to three main effects: technological innovation, the factor endowment structure and the educational level. Furthermore, the results of heterogeneity analysis demonstrate that the promoting effect of the DIG on CTFP exists in China's eastern, central and western regions. The findings of this research can serve as a valuable reference for informing decision-making processes related to environmental governance and high-quality economic development in China.

Informal institutions and corporate innovation: A Perspective from Red Culture.

Since the 20th century, Red Culture has served as a significant informal institution guiding revolutionary trajectory and developmental course. However, integrating Red Culture into contemporary corporate management and leveraging its constructive influence within today's market-driven economy necessitates comprehensive exploration and thoughtful consideration. This study aims to explore the potential influence of Red Culture on contemporary innovation. Empirical findings reveal substantial and affirmative effects of Red Culture on corporate innovation. Specifically, a heightened Red Culture ambiance correlates with a marked increase in both innovation input and output within corporate. Further investigation underscores Red Culture's pivotal governance role in mitigating strategic manipulation of innovation and research and development practices, especially within the overarching framework of innovation-driven strategies. Moreover, Red Culture synergizes with formal innovation incentive mechanisms, jointly fostering corporate innovation. This study provides micro-level empirical evidence that elucidates the impact of Red Culture on corporate innovation. Additionally, it furnishes valuable policy insights for the practical implementation and enhancement of pertinent Red Culture initiative.

Building alternative payment models in health care.

Introduction: Global interest is growing in new value-based models of financing, delivering, and paying for health care services that could produce higher-quality and lower cost outcomes for patients and for society. However, research indicates evidence gaps in knowledge related to alternative payment models (APMs) in early experimentation phases or those contracted between private insurers and their health care provider-partners. The aim of this research was to understand and update the literature related to learning how industry experts design and implement APMs, including specific elements of their models and their choice of stakeholders to be involved in the design and contractual details. Methods: A literature review was conducted to guide the research focus and to select themes. The sample was selected using snowball sampling to identify subject matter experts (SMEs). Researchers conducted 16 semi-structured interviews with SMEs in the US, the Netherlands, and Germany in September and October 2021. Interviews were transcribed and using Braun and Clarke's six-phase approach to thematic analysis, researchers independently read, reviewed, and coded participants' responses related to APM design and implementation and subsequently reviewed each other's codes and themes for consistency. Results: Participants represented diverse perspectives of the payer, provider, consulting, and government areas of the health care sector. We found design considerations had five overarching themes: (1) population and scope of care and services, (2) benchmarking, metrics, data, and technology; (3) finance, APM type, risk adjustment, incentives, and influencing provider behavior, (4) provider partnerships and the role of physicians, and (5) leadership and regulatory issues. Discussion: This study confirmed several of the core components of APM model designs and implementations found in the literature and brought insights on additional aspects not previously emphasized, particularly the role of physicians (especially in leadership) and practice transformation/care processes necessary for providers to thrive under APM models. Importantly, researchers found significant concerns relevant for policymakers about regulations relating to health data sharing, rigid price-setting, and inter-organizational data communication that greatly inhibit the ability to experiment with APMs and those models' abilities to succeed long-term.

CNS Drug Discovery in Academia: Where Basic Research Meets Innovation.

The involvement of academic research in drug discovery is consistently growing. However, academic projects seldom advance to clinical trials. Here, we assess the landscape of drug discovery within the National Centre of Competence in Research (NCCR) TransCure launched by the Swiss National Science Foundation to foster basic research and early-stage drug discovery on membrane transporters. This included transporters in central nervous system (CNS) disorders, which represent a huge unmet medical need. While idea championship, sustainable funding, collaborations between disciplines at the interface of academia and industry are important for translational research, Popperian falsifiability, strong intellectual property and a motivated startup team are key elements for innovation. This is exemplified by the NCCR TransCure spin-off company Synendos Therapeutics, a clinical stage biotech company developing the first selective endocannabinoid reuptake inhibitors (SERIs) as novel treatment for neuropsychiatric disorders. We provide a perspective on the challenges related to entering an uncharted druggable space and bridging the often mentioned "valley of death". The high attrition rate of drug discovery projects in the CNS field within academia is often due to the lack of meaningful animal models that can provide pharmacological proof-of-concept for potentially disruptive technologies at the earliest stages, and the absence of solid intellectual property.

Antitumor activity of anlotinib in malignant melanoma: modulation of angiogenesis and vasculogenic mimicry.

Malignant melanoma presents a formidable challenge due to its aggressive metastatic behavior and limited response to current treatments. To address this, our study delves into the impact of anlotinib on angiogenesis and vasculogenic mimicry using malignant melanoma cells and human umbilical vein endothelial cells. Evaluating tubular structure formation, cell proliferation, migration, invasion, and key signaling molecules in angiogenesis, we demonstrated that anlotinib exerts a dose-dependent inhibition on tubular structures and effectively suppresses cell growth and invasion in both cell types. Furthermore, in a mouse xenograft model, anlotinib treatment resulted in reduced tumor growth and vascular density. Notably, the downregulation of VEGFR-2, FGFR-1, PDGFR-ß, and PI3K underscored the multitargeted antitumor activity of anlotinib. Our findings emphasize the therapeutic potential of anlotinib in targeting angiogenesis and vasculogenic mimicry, contributing to the development of novel strategies for combating malignant melanoma.

Environmental regulation, innovation choices, and agricultural green total factor productivity under a multi-regulatory perspective.

As environmental challenges escalate, green development is crucial for sustainability. This study analyzes China's county-level agricultural green total factor productivity using SBM and ML index, introducing a comprehensive index to quantify the impact of different types of environmental regulations on productivity. The findings reveal the following: baseline analysis reveals that comprehensive environmental regulation notably boosts agricultural green total factor productivity (AGTFP), with regulatory intensity positively linked to productivity growth. Other factors like policy intervention, industrial structure, savings levels, and per capita GDP also favorably impact productivity. All three types of regulations, command, incentive, and voluntary type, substantially enhance AGTFP. The mediating effect test results show that all three types of regulations directly and positively impact AGTFP. Indirect effects vary: command-type regulation's mediating effect through independent R&D is significant, accounting for 39% of the impact. For incentive type, both industry structure upgrading (23.79%) and independent R&D (3.1%) mediate the effect. For voluntary type, technological advancement via independent R&D mediates about 13.0% of the impact. Heterogeneity analysis reveals distinct impacts of different environmental regulations on AGTFP across regions. Command-type regulation is most effective in the west, while in the central region, both command- and incentive-type regulations have similar promotional effects. In the east, incentive- and voluntary-type regulations show stronger impacts. Robustness tests, including endogeneity testing, dependent variable substitution, sample winsorizing, and model substitution, consistently confirm the baseline finding that environmental regulation significantly boosts AGTFP.

The impact of intellectual property demonstration policies on carbon emission efficiency.

Confronted with the concurrent challenges of economic advancement and environmental management, this study explores whether implementing Intellectual Property Demonstration Policies (IPDP) can be a covert force in enhancing carbon emission efficiency. Utilizing panel data from 280 prefecture-level cities in China over the period 2007-2019, we employ a quasi-natural experimental design, incorporating multiple-period difference-in-differences models, mediation effect models, and spatial Durbin difference-in-differences models to assess the impacts of IPDP on carbon emission efficiency, its mechanisms of action, and its spatial spillover effects. The regression results of the multi-period difference-in-differences model reveal a statistically significant enhancement in carbon emission efficiency due to IPDP, with an impact coefficient of 0.044. Through heterogeneity tests, it is observed that the influence of IPDP on carbon emission efficiency varies based on regional characteristics, carbon emission levels, and the extent of marketization. The mediation effect model demonstrates that IPDP enhances carbon emission efficiency by fostering green technological innovation and facilitating the transformation of industrial structures. Furthermore, the spatial Durbin difference-in-differences model illustrates that IPDP positively influences the carbon emission efficiency of neighboring regions, indicating favorable spatial spillover effects. Notably, the indirect effect coefficients in the geographical distance matrix, economic distance matrix, and economic-geographical nested matrix are calculated as 0.673, 0.250, and 0.386, respectively. These findings offer compelling theoretical and empirical support for strengthening the intellectual property framework to optimize its environmental impact.

"The Green Peace" How ICG can prevent complications in endometriosis surgery?

This literature review summarises the investigation into using Indocyanine Green (ICG) in the surgical management of endometriosis, focusing mainly on its application in Deep Endometriosis (DE). The study reviews the development, fluorescence characteristics, and clinical usage of ICG in enhancing the precision of identifying endometrial lesions during surgery. Emphasizing the technology's contribution to improved lesion visualisation, the paper discusses how ICG facilitates increased diagnostic accuracy, potentially reducing recurrence rates and the necessity for subsequent interventions. Additionally, it explores ICG's role in minimizing the risk of iatrogenic injuries, especially in ureteral endometriosis, and its utility in surgical decision-making for rectosigmoid endometriosis by evaluating bowel perfusion. Conclusively, while acknowledging the clear benefits of ICG integration in endometriosis surgical procedures, the abstract calls for more extensive research to validate its efficacy and cost-efficiency in the broader context of endometriosis treatment.

Venom gland organogenesis in the common house spider.

Venom is a remarkable innovation found across the animal kingdom, yet the evolutionary origins of venom systems in various groups, including spiders, remain enigmatic. Here, we investigated the organogenesis of the venom apparatus in the common house spider, Parasteatoda tepidariorum. The venom apparatus consists of a pair of secretory glands, each connected to an opening at the fang tip by a duct that runs through the chelicerae. We performed bulk RNA-seq to identify venom gland-specific markers and assayed their expression using RNA in situ hybridisation experiments on whole-mount time-series. These revealed that the gland primordium emerges during embryonic stage 13 at the chelicera tip, progresses proximally by the end of embryonic development and extends into the prosoma post-eclosion. The initiation of expression of an important toxin component in late postembryos marks the activation of venom-secreting cells. Our selected markers also exhibited distinct expression patterns in adult venom glands: sage and the toxin marker were expressed in the secretory epithelium, forkhead and sum-1 in the surrounding muscle layer, while Distal-less was predominantly expressed at the gland extremities. Our study provides the first comprehensive analysis of venom gland morphogenesis in spiders, offering key insights into their evolution and development.

Estimating carbon and water footprints associated with commercial milk formula production and use: development and implications of the Green Feeding Climate Action Tool.

Carbon offset frameworks like the UN Clean Development Mechanism (CDM) have largely overlooked interventions involving food, health, and care systems, including breastfeeding. The innovative Green Feeding Climate Action Tool (GFT) assesses the environmental impact of commercial milk formula (CMF) use, and advocates for breastfeeding support interventions as legitimate carbon offsets. This paper provides an overview of the GFT's development, key features, and potential uses. The offline and online GFT were developed using the DMADV methodology (Define, Measure, Analyze, Design, Verify). The GFT reveals that the production and use of CMF by infants under 6 months results in annual global greenhouse gas (GHG) emissions of between 5.9 and 7.5 billion kg CO2 eq. and consumes 2,562.5 billion liters of water. As a national example, in India, one of the world's most populous countries, CMF consumption requires 250.6 billion liters of water and results in GHG emissions ranging from 579 to 737 million kg CO2 eq. annually, despite the country's high breastfeeding prevalence among infants under 6 months. The GFT mainly draws on data for low- and middle-income countries (LMICs), as many high-income countries (HICs) do not collect suitable data for such calculations. Despite poor official data on breastfeeding practices in HICs, GFT users can input their own data from smaller-scale surveys or their best estimates. The GFT also offers the capability to estimate and compare baseline with counterfactual scenarios, such as for interventions or policy changes that improve breastfeeding practices. In conclusion, the GFT is an important innovation to quantify CMF's environmental impact and highlight the significance of breastfeeding for planetary as well as human health. Women's contributions to environmental preservation through breastfeeding should be recognized, and breastfeeding interventions and policies should be funded as legitimate carbon offsets. The GFT quantifies CMF's carbon and water footprints and facilitates financing breastfeeding support as a carbon offset initiative under CDM funding facilities.

Learning from socially driven frugal innovation to design the future of healthcare: A case of mobile Primary Health Center.

Background and Aim: Despite their flaws, the low-cost but powerful economical solutions can ensure everyone has access to health. The main aim of this study is to extract characteristics of frugal innovation (FI) and social innovation (SI) for Primary Health Centers (PHCs) in low resource settings (LRS) for sustainable development. We will use the gained insights to design the mobile primary healthcare infrastructure using FI and SI strategies. There is a lack of methodology to design sustainable healthcare infrastructure for LRS. There is a gap in the literature about building sustainable infrastructure to provide basic healthcare facilities essential to the community. This article studies several factors necessary for designing sustainable infrastructure from the lens of FI, SI, and sustainability to develop a mobile healthcare infrastructure for last-mile people. Methods: Started with purposive sampled case studies to find out factors and criteria that most affect the success for an innovation to be frugal, social, and sustainable. The established criteria were used to design, develop, and deploy the mobile Primary Health Center (mPHC). Moving forward, we tested the system designed with stakeholders to gather insights. At this stage we found the feedback loop from the stakeholders and the role of interdisciplinary discussions between experts, medical officers, nurses, patient, and other staff of PHCs during the design, development, deployment, and test stage to be useful in taking design decisions efficiently. Results: The designed healthcare infrastructure of mPHC through the aspects of FI and SI proves to be efficient in providing key healthcare services to LRS. Conclusion: Focusing on essential capabilities and optimizing performance with technology, methodologies, and processes reduces costs in an innovation. Focus on socially inclusive and rebalancing power disparities, overcome societal challenges and improve human capabilities will create a sustainable and novel solution.

Science, technology, and innovation in health for the next twenty years: A survey analysis in Colombia.

Background: Colombia is a Latin American country with a very complex social and political context that has not allowed the allocation of sufficient resources to the fields of science, technology, and innovation (STI). This is particularly worrying for the area of health since not enough resources are allocated for public health, research, or education. Methods: The so-called "Great Survey in Health 2019" was administered online through the SurveyMonkey platform to 5298 people in different regions of the country, representing the public, private, and academic sectors. The questionnaire consisted of 46 open and closed questions, including demographic inquiries. Data analysis involved textual analytics and sentiment analysis. Results: Overall, 56% of those surveyed were women within the adult life cycle. Most respondents had a postgraduate education. Greater participation was observed in the Oriental, Bogotá, and Antioquia regions, which also concentrate the largest number of resources for STI. Among the main recommendations derived from the results, priorities include investing in research, personalised medicine, promoting the social appropriation of knowledge, addressing mental health, regulating research through a statute, promoting undergraduate research, and establishing recertification exams to pursue excellence. Conclusion: The results of this original study serve as a fundamental input to promote and strengthen the STI processes in life sciences and health. They serve as a guide to generate public policies and actions that guarantee better health and well-being for the Colombian population, strategically proposing a clear roadmap for the next 20 years.