Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.

BACKGROUND: Real-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects. METHODS: UNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals. RESULTS: Currently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers. CONCLUSIONS: Consore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.

Selenium Nanoparticles: A Comprehensive Examination of Synthesis Techniques and Their Diverse Applications in Medical Research and Toxicology Studies.

Selenium is a trace and necessary micronutrient for human, animal, and microbial health. Many researchers have recently been interested in selenium nanoparticles (SeNPs) due to their biocompatibility, bioavailability, and low toxicity. As a result of their greater bioactivity, selenium nanoparticles are widely employed in a variety of biological applications. Physical, chemical, and biological approaches can all be used to synthesize selenium nanoparticles. Since it uses non-toxic solvents and operates at a suitable temperature, the biological technique is a preferable option. This review article addresses the processes implemented in the synthesis of SeNPs and highlights their medicinal uses, such as the treatment of fungi, bacteria, cancer, and wounds. Furthermore, we discuss the most recent findings on the potential of several biological materials for selenium nanoparticle production. The precursor, extract, process, time, temperature, and other synthesis criteria will be elaborated in conjunction with the product's physical properties (size, shape, and stability). The synergies of SeNP synthesis via various methods aid future researchers in precisely synthesizing SeNPs and using them in desired applications.

Open Data governance at the Canadian Open Neuroscience Platform (CONP): From the Walled Garden to the Arboretum.

Scientific research communities pursue dual imperatives in implementing strategies to share their data. These communities attempt to maximize the accessibility of biomedical data for downstream research use, in furtherance of open science objectives. Simultaneously, such communities safeguard the interests of research participants through data stewardship measures and the integration of suitable risk disclosures to the informed consent process. The Canadian Open Neuroscience Platform (CONP) convened an Ethics and Governance Committee composed of experts in bioethics, neuroethics, and law to develop holistic policy tools, organizational approaches, and technological supports to align the open governance of data with ethical and legal norms. The CONP has adopted novel platform governance methods that favor full data openness, legitimated through the use of robust deidentification processes and informed consent practices. The experience of the CONP is articulated as a potential template for other open science efforts to further build upon. This experience highlights informed consent guidance, deidentification practices, ethicolegal metadata, platform-level norms, and commercialization and publication policies as the principal pillars of a practicable approach to the governance of open data. The governance approach adopted by the CONP stands as a viable model for the broader neuroscience and open science communities to adopt for sharing data in full open access.

A roadmap to establishing global oncology as a priority initiative within a National Cancer Institute-designated cancer center.

As the burden of cancers impacting low- and middle-income countries is projected to increase, formation of strategic partnerships between institutions in high-income countries and low- and middle-income country institutions may serve to accelerate cancer research, clinical care, and training. As the US National Cancer Institute and its Center for Global Health continue to encourage cancer centers to join its global mission, academic cancer centers in the United States have increased their global activities. In 2015, the Helen Diller Family Comprehensive Cancer Center at the University of California, San Francisco, responded to the call for international partnership in addressing the global cancer burden through the establishment of the Global Cancer Program as a priority initiative. In developing the Global Cancer Program, we galvanized institutional support to foster sustained, bidirectional, equitable, international partnerships in global cancer control. Our focus and intent in disseminating this commentary is to share experiences and lessons learned from the perspective of a US-based, National Cancer Institute-designated cancer center and to provide a roadmap for other high-income institutions seeking to strategically broaden their missions and address the complex challenges of global cancer control. Herein, we review the formative evaluation, governance, strategic planning, investments in career development, funding sources, program evaluation, and lessons learned. Reflecting on the evolution of our program during the first 5 years, we observed in our partners a powerful shift toward a locally driven priority setting, reduced dependency, and an increased commitment to research as a path to improve cancer outcomes in resource-constrained settings.

Bibliometric analysis of Traditional Chinese Medicine nanoparticles research from 2005 to 2023.

To gain a deeper understanding of the current status of research on Traditional Chinese Medicine (TCM) and nanoparticles, we conducted a bibliometric study. We conducted a literature search in the Web of Science (WOS) for publications related to TCM and nanoparticles from 1992 to 2023. The data, including countries of publication, research institutions, journals, citations, and keywords, were analyzed using the Bibliometrix R-4.0 software package. We performed an analysis to identify the co-occurrence of keywords in the documents including their titles and abstracts. From 2005 to 2023, a total of 309 publications were included, with an average annual growth rate of 4.25%. The majority of these publications were published in Q1 journals (72, 47.06%) and Q2 journals (45, 29.41%). Among the 309 publications, 22 articles (7.12%) had an impact factor greater than 10, while 78 articles (25.24%) had an impact factor greater than 5. The analysis of international collaboration networks revealed limited international cooperation, with most collaborations occurring between institutions in China, the United States, and Australia. These 309 publications involved a total of 438 research institutions, with Chinese research institutions being the most prolific contributors. In this study, a total of 309 publications were included, comprising 1142 author keywords and 1175 keywords plus. Factor analysis of the 1175 keywords plus revealed that they could be grouped into five categories: one category included terms such as "oxide" and "zinc," another category included terms like "lipid" and "acid," a third category included terms such as "improve" and "enhance," a fourth category included terms like "silica" and "mesoporous," and the fifth category included terms like "PLGA" and "immune." Research on nanoparticles in TCM has been gradually gaining popularity. Currently, most of the research in this field is conducted in China, with limited international collaboration. The majority of TCM nanoparticle research focuses on individual herbal compounds, while research on nanoparticle formulations of traditional herbal prescriptions is relatively scarce.

Boosting microscopic object detection via feature activation map guided poisson blending.

Microscopic examination of visible components based on micrographs is the gold standard for testing in biomedical research and clinical diagnosis. The application of object detection technology in bioimages not only improves the efficiency of the analyst but also provides decision support to ensure the objectivity and consistency of diagnosis. However, the lack of large annotated datasets is a significant impediment in rapidly deploying object detection models for microscopic formed elements detection. Standard augmentation methods used in object detection are not appropriate because they are prone to destroy the original micro-morphological information to produce counterintuitive micrographs, which is not conducive to build the trust of analysts in the intelligent system. Here, we propose a feature activation map-guided boosting mechanism dedicated to microscopic object detection to improve data efficiency. Our results show that the boosting mechanism provides solid gains in the object detection model deployed for microscopic formed elements detection. After image augmentation, the mean Average Precision (mAP) of baseline and strong baseline of the Chinese herbal medicine micrograph dataset are increased by 16.3% and 5.8% respectively. Similarly, on the urine sediment dataset, the boosting mechanism resulted in an improvement of 8.0% and 2.6% in mAP of the baseline and strong baseline maps respectively. Moreover, the method shows strong generalizability and can be easily integrated into any main-stream object detection model. The performance enhancement is interpretable, making it more suitable for microscopic biomedical applications.

CONSTITUTIONAL AND LEGAL PRINCIPLES OF THE LIMITS OF PERMISSIBLE INTERVENTION IN CONDUCTING BIOMEDICAL RESEARCH WITH HUMAN PARTICIPATION.

OBJECTIVE: The aim: To find out the peculiarities of constitutional and legal principles of the limits of permissible intervention in conducting biomedical research with human participation. PATIENTS AND METHODS: Materials and methods: The methodological basis of the study was worldview dialectical, general scientific and specific scientific methods of learning the phenomena of state and legal reality. Common ones were widely used in the work principles of scientific knowledge - comprehensiveness, objectivity, historicism, unity of theory and practice and others. The most important methodological prerequisite was a systemic approach to the issue of protecting human rights when conducting biomedical experiments with his participation, which made it possible to form a holistic view of the object and subject of research. With its help, the human rights affected by biomedical research in the context of the general legal principle of humanism were analyzed, the limits of permissible intervention in the human body were identified, and conclusions were drawn regarding the need for the separation and normative legal regulation of the complex branch of medical law. In the study, general scientific methods were widely used: historical, systematic analysis of the studied phenomena and syn¬thesis of the obtained results, inductive and deductive reasoning; special: formal-logical, sociological, statistical; and also private-scientific: comparative-legal, normative-legal, and others. CONCLUSION: Conclusions: 1) A key point in the mechanism of protection of the subject's rights in the process of conducting biomedical research is the establishment of a number of limits (maxims) that allow interference in the human body and can limit the researcher and protect the subject. These maxims should be integral elements of the process of biomedical research with human participation and determine the basic criteria for the protection of citizens' rights when conducting biomedical research. 2) The limits of permissible intervention in the conduct of biomedical research with human participation are the legal and factual consequences of the activity of bodies authorized to conduct biomedical research, which is based on the law and aimed at achieving the goals set by the researcher for conducting biomedical research with human participation, as a result of which the options for permitted by the norms of the law of behavior of the subjects of biomedical research by establishing various limits of such behavior, which necessarily have an exclusively temporary and subjective nature.

[Circadian rhythm and health: dialogue between traditional Chinese medicine and modern medicine].

Circadian rhythm refers to the daily rhythmic variations in an organism. The irregular lifestyles of modern humans have led to a high incidence of chronic diseases, highlighting an inseparable relationship between disrupted circadian rhythm and disease development. TCM has long discussed rhythmic variations, with records dating back to the Yellow Emperor's Inner Canon(Huang Di Nei Jing), which laid a rich theoretical foundation for the research on circadian rhythm. Modern medical research has provided a more comprehensive explanation of its molecular mechanisms. This article integrated the current understanding of circadian rhythm in both Chinese and western medicine, emphasizing the crucial relationship between rhythm regulation and disease treatment. By highlighting the interdisciplinary nature of the two fields, it offers new directions for exploring the field of chronomedicine.

State-of-the-art mass spectrometry imaging applications in biomedical research.

Mass spectrometry imaging has advanced from a niche technique to a widely applied spatial biology tool operating at the forefront of numerous fields, most notably making a significant impact in biomedical pharmacological research. The growth of the field has gone hand in hand with an increase in publications and usage of the technique by new laboratories, and consequently this has led to a shift from general MSI reviews to topic-specific reviews. Given this development, we see the need to recapitulate the strengths of MSI by providing a more holistic overview of state-of-the-art MSI studies to provide the new generation of researchers with an up-to-date reference framework. Here we review scientific advances for the six largest biomedical fields of MSI application (oncology, pharmacology, neurology, cardiovascular diseases, endocrinology, and rheumatology). These publications thereby give examples for at least one of the following categories: they provide novel mechanistic insights, use an exceptionally large cohort size, establish a workflow that has the potential to become a high-impact methodology, or are highly cited in their field. We finally have a look into new emerging fields and trends in MSI (immunology, microbiology, infectious diseases, and aging), as applied MSI is continuously broadening as a result of technological breakthroughs.

Psychedelic Research and Therapeutic Practices: Embracing Communities, Groups, and Traditional Knowledge.

The global prevalence of substance abuse and mental disorders continues to challenge healthcare systems, with one in eight individuals affected. The therapeutic potential of psychedelics is recognized not only for treating mental disorders but also for enhancing well-being and promoting pro-social behaviors. Conventional biomedical research models fall short in addressing the broader health needs of populations and poorly suited for overcoming barriers to service delivery. This special issue includes six articles that explore alternative approaches to psychedelic research and practice, emphasizing collaboration with diverse actors, including indigenous communities, and incorporating traditional knowledge systems into contemporary psychedelic research. They underscore the need for innovative research methods that engage multidisciplinary approaches while promoting culturally relevant outcome measures. They emphasize the importance of shifting from punitive drug policies to those grounded in public health and human rights, allowing for multi-country studies and the development of evidence-based care models for community mental health. Incorporating traditional knowledge and community-based methodologies into psychedelic science is vital for its evolution beyond biomedical research for widespread dissemination, offering new avenues for improved health outcomes and promotion of human flourishing.

Deconstructing sex: Strategies for undoing binary thinking in neuroendocrinology and behavior.

The scientific community widely recognizes that "sex" is a complex category composed of multiple physiologies. Yet in practice, basic scientific research often treats "sex" as a single, internally consistent, and often binary variable. This practice occludes important physiological factors and processes, and thus limits the scientific value of our findings. In human-oriented biomedical research, the use of simplistic (and often binary) models of sex ignores the existence of intersex, trans, non-binary, and gender non-conforming people and contributes to a medical paradigm that neglects their needs and interests. More broadly, our collective reliance on these models legitimizes a false paradigm of human biology that undergirds harmful medical practices and anti-trans political movements. Herein, we continue the conversations begun at the SBN 2022 Symposium on Hormones and Trans Health, providing guiding questions to help scientists deconstruct and rethink the use of "sex" across the stages of the scientific method. We offer these as a step toward a scientific paradigm that more accurately recognizes and represents sexed physiologies as multiple, interacting, variable, and unbounded by gendered preconceptions. We hope this paper will serve as a useful resource for scientists who seek a new paradigm for researching and understanding sexed physiologies that improves our science, widens the applicability of our findings, and deters the misuse of our research against marginalized groups.

Educating the next generation of cancer researchers: Evaluation of a cancer research partnership training program.

African American, American Indian and Alaska Native, Hispanic (or Latinx), Native Hawaiian, and other Pacific Islander groups are underrepresented in the biomedical workforce, which is one of the barriers to addressing cancer disparities among minority populations. The creation of a more inclusive biomedical workforce dedicated to reducing the burden of cancer health disparities requires structured, mentored research and cancer-related research exposure during the earlier stages of training. The Summer Cancer Research Institute (SCRI) is a multicomponent 8-week intensive summer program funded under the Partnership between a Minority Serving Institute and a National Institutes of Health-designated Comprehensive Cancer Center. In this survey study, we found that students who participated in the SCRI Program reported greater knowledge and interest in pursuing careers in cancer-related fields than their counterparts who did not participate in SCRI. Successes, challenges, and solutions in providing training in cancer and cancer health disparities research to improve diversity in the biomedical fields were also discussed.

Insights into vitamin A in bladder cancer, lack of attention to gut microbiota?

Vitamin A has long been associated with bladder cancer, and many exogenous vitamin A supplements, vitamin A derivatives, and synthetic drugs have been investigated over the years. However, the effectiveness of these strategies in clinical practice has not met expectations, and they have not been widely adopted. Recent medical research on intestinal flora has revealed that bladder cancer patients exhibit reduced serum vitamin A levels and an imbalance of gut microbiota. In light of the close relationship between gut microbiota and vitamin A, one can speculate that a complex regulatory mechanism exists between the two in the development and occurrence of bladder cancer. As such, further exploration of their interaction in bladder cancer may help guide the use of vitamin A for preventive purposes. During the course of this review, attention is paid to the influence of intestinal microbiota on the vitamin A metabolism and the RA signaling pathway, as well as the mutual promotion relationships between them in the prevention of bladder cancer, In addition, it emphasizes the importance of intestinal microbiota for bladder cancer prevention and treatment.

Development of a novel and more holistic approach for assessing impact in health and medical research: the Research Impact Assessment Framework.

Considered investment in health and medical research (HMR) is critical for fostering a healthcare system that is sustainable, effective, responsive, and innovative. While several tools exist to measure the impact of research, few assess the research environment that nurtures and supports impactful research and the strategic alignment of research with societal needs. This perspective article discusses the limitations of existing assessment tools and presents a novel Research Impact Assessment Framework designed to enable more strategic and targeted investment towards HMR, having the potential for significant public benefit.

Analysis of NINDS Health Disparities and Health Equity Research Portfolio, 2016-2020: Results and a Process for Transparency, Accuracy, and Reliability.

BACKGROUND AND OBJECTIVES: As detailed throughout this special issue, the National Institute of Neurological Disorders and Stroke (NINDS) recently undertook a strategic planning effort to guide the Institute's efforts and priorities in health disparities and health equity (HD/HE) research. One input into this effort was to conduct a 5-year longitudinal, in-depth analysis of NINDS-supported HD/HE research newly funded between the years 2016 and 2020. The goals of this analysis were to describe NINDS's portfolio according to consistent, contemporary definitions and HD/HE disciplinary theory. This required the development of a novel, systematic, and validated analysis protocol. The portfolio analysis was designed to inform the recommendations of an expert working group convened by the NINDS and internal efforts to support high-priority research, training, and infrastructure efforts. METHODS: NINDS staff developed and validated this HD/HE research portfolio analysis protocol. Ultimately, HD/HE projects were characterized by their disease focus, populations of study, the health equity determinant(s) addressed, and the type and phase of research being conducted. For all interventional research, there was further assessment of the type and setting of intervention delivery as well as utilization of evidence-based community engagement and intervention sustainability approaches. RESULTS: A total of 58 new HD/HE research projects were funded from 2016 to 2020. The results of the descriptive analysis described here help provide a holistic picture of NINDS's HD/HE research portfolio, revealing strengths and gaps in the portfolio as well as opportunities ripe for future investment. DISCUSSION: NINDS developed a standardized HD/HE research categorization methodology with imbedded quality control checks that is intended to be transparent, accurate, and reproducible. The results of this HD/HE research portfolio analysis will serve as a baseline from which to assess the success of NINDS's research investments going forward.

Comprehensive characterization of tumor microenvironment in colorectal cancer via molecular analysis.

Colorectal cancer (CRC) remains a challenging and deadly disease with high tumor microenvironment (TME) heterogeneity. Using an integrative multi-omics analysis and artificial intelligence-enabled spatial analysis of whole-slide images, we performed a comprehensive characterization of TME in colorectal cancer (CCCRC). CRC samples were classified into four CCCRC subtypes with distinct TME features, namely, C1 as the proliferative subtype with low immunogenicity; C2 as the immunosuppressed subtype with the terminally exhausted immune characteristics; C3 as the immune-excluded subtype with the distinct upregulation of stromal components and a lack of T cell infiltration in the tumor core; and C4 as the immunomodulatory subtype with the remarkable upregulation of anti-tumor immune components. The four CCCRC subtypes had distinct histopathologic and molecular characteristics, therapeutic efficacy, and prognosis. We found that the C1 subtype may be suitable for chemotherapy and cetuximab, the C2 subtype may benefit from a combination of chemotherapy and bevacizumab, the C3 subtype has increased sensitivity to the WNT pathway inhibitor WIKI4, and the C4 subtype is a potential candidate for immune checkpoint blockade treatment. Importantly, we established a simple gene classifier for accurate identification of each CCCRC subtype. Collectively our integrative analysis ultimately established a holistic framework to thoroughly dissect the TME of CRC, and the CCCRC classification system with high biological interpretability may contribute to biomarker discovery and future clinical trial design.