{"id":6459,"date":"2025-09-22T09:42:19","date_gmt":"2025-09-22T12:42:19","guid":{"rendered":"https:\/\/wctcim.cabsin.org.br\/new\/presentation\/respiratory-infectious-diseases\/"},"modified":"2025-10-18T08:00:14","modified_gmt":"2025-10-18T11:00:14","slug":"respiratory-infectious-diseases","status":"publish","type":"presentation","link":"https:\/\/wctcim.cabsin.org.br\/new\/presentation\/respiratory-infectious-diseases\/","title":{"rendered":"Correlation Analysis of Respiratory Infectious Diseases and Climate in Guangdong Province"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>A detailed analysis explores the correlation between climate patterns and the prevalence of Respiratory Infectious Diseases in Guangdong. The presentation offers evidence-based insights into environmental health, contributing to new public health prevention models.<\/p>\n","protected":false},"featured_media":0,"template":"","activity-category":[244,221],"activity-tag":[],"activity-location":[188],"class_list":["post-6459","presentation","type-presentation","status-publish","hentry","activity-category-parallel-session-e","activity-category-presentations","activity-location-room-6"],"acf":{"origem_da_ultima_atualizacao":"manual_ui","event_day":"18","start_time":"10:45","end_time":"11:00","abstract":"","presentation_speaker":[{"ID":7053,"post_author":"2","post_date":"2025-10-17 14:50:23","post_date_gmt":"2025-10-17 17:50:23","post_content":"<!-- wp:html -->\n<style>\n  .speaker-bio {\n    display: flex;\n    flex-wrap: wrap;\n    align-items: flex-start;\n    gap: 20px;\n  }\n\n  .speaker-bio figure {\n    width: 225px;\n    height: 225px;\n    margin: 0 20px 30px 0;\n  }\n  .speaker-bio figure img {\n    width: 100%;\n    height: 100%;\n    object-fit: cover;\n    border-radius: 50%;\n    border: none;\n  }\n\n  .bio-content {\n    flex: 1;\n    color: #414d58;\n    font-size: 15px;    \n    line-height: 1.6;\n  }\n  .bio-content a {\n    color: #1d89e4;\n    text-decoration: none;\n  }\n\n  .bio-content h2 {\n    font-size: 24px;\n    color: #1d89e4;\n    font-weight: 600;\n    line-height: 1.5;\n    margin-bottom: 1em;\n  }\n  .bio-content h3 {\n    font-size: 18px;\n    color: #1d89e4;\n    font-weight: 500;\n    line-height: 1.4;\n    margin-top: 1.8em;\n    margin-bottom: 0.8em;\n  }\n  .bio-content h4 {\n    font-size: 15px;\n    color: #1d89e4;\n    font-weight: 500;\n    line-height: 1.4;\n    margin-top: 1.5em;\n    margin-bottom: 0.6em;\n  }\n\n  .speaker-separator {\n    margin: 0;\n    border: none;\n    border-top: 1px solid #ccc;\n  }\n\n  @media (max-width: 600px) {\n    .speaker-bio {\n      flex-direction: column;\n      align-items: flex-start;\n      gap: 10px;\n    }\n    .speaker-bio figure {\n      width: 180px;\n      height: 180px;\n      margin-bottom: 10px;\n    }\n    .bio-content {\n      width: 100%;\n      text-align: left;\n    }\n    .bio-content h2 {\n      font-size: 20px;\n      line-height: 1.5;\n      margin-bottom: 0.8em;\n    }\n    .bio-content h3 {\n      font-size: 16px;\n      line-height: 1.4;\n      margin-top: 1.5em;\n      margin-bottom: 0.6em;\n    }\n    .bio-content h4 {\n      font-size: 14px;\n      line-height: 1.4;\n      margin-top: 1.3em;\n      margin-bottom: 0.5em;\n    }\n    .bio-content p,\n    .bio-content ul {\n      font-size: 14px;\n    }\n  }\n<\/style>\n<div class=\"speaker-bio\">\n<figure>\n<img alt=\"Dr. Chen Bai, Associate Researcher at Beijing University of Chinese Medicine\" src=\"https:\/\/wctcim.cabsin.org.br\/new\/wp-content\/uploads\/2025\/10\/chen_bai_profile_2025_10_06.png\"   \/>\n<\/figure>\n<div class=\"bio-content\">\n<h2>Chen Bai<\/h2>\n<p><strong>Dr. Chen Bai<\/strong> is an associate researcher and faculty member at the Beijing University of Chinese Medicine (BUCM). His work focuses on applying big data analytics to explore the connections between environmental factors and the dynamics of infectious diseases. This research aims to identify effective targets for Traditional Chinese Medicine (TCM) interventions.<\/p>\n<p>Consequently, his approach integrates computational methods with experimental validation to advance the field of precision TCM. Dr. Bai\u2019s ultimate goal is the development of novel, evidence-based integrative health solutions that address complex public health challenges.<\/p>\n<p><strong>ORCID Profile:<\/strong>\n<a href=\"https:\/\/orcid.org\/my-orcid?orcid=0000-0001-8357-9027\" rel=\"noopener noreferrer\" target=\"_blank\">https:\/\/orcid.org\/0000-0001-8357-9027<\/a>\n<\/p>\n<\/div>\n<\/div><hr class=\"speaker-separator\"\/>\n<div class=\"bio-content\">\n<h3>Biography and Expertise of Chen Bai<\/h3><p>Dr. <strong>Chen Bai<\/strong> is a faculty member at the Beijing University of Chinese Medicine (BUCM), where he conducts research at the intersection of data science, environmental health, and Traditional Chinese Medicine (TCM). His primary expertise involves using big data analytics to investigate the complex relationships between environmental conditions and the spread of infectious diseases. This innovative approach is designed to discover new applications for TCM in public health.<\/p><p>Dr. Bai\u2019s work directly aligns with the congress\u2019s Thematic Axis, \u201cContributions of TCIM to Global Public Health (Evidence-Based).\u201d By integrating computational prediction with experimental validation, his research supports the principles of the Gujarat Declaration, which call for the scientific validation of traditional medicine. Furthermore, his focus on developing \u201cprecision TCM\u201d contributes to the congress motto pillar of \u201cKnowledge Diversity,\u201d showcasing how ancient medical systems can be adapted and enhanced with modern technology.<\/p><p>The research conducted by <strong>Chen Bai<\/strong> aims to produce actionable insights and evidence-based integrative health solutions. Therefore, his contributions are relevant to the global effort to implement the WHO Traditional Medicine Strategy (2025-2034) by providing a scientific basis for integrating TCM into contemporary healthcare systems to address pressing health challenges.<\/p>\n<\/div>\n<div class=\"bio-content\">\n<h3>Professional Career of Chen Bai<\/h3><p>Dr. <strong>Chen Bai<\/strong> has built a focused and impactful career within the Beijing University of Chinese Medicine (BUCM), a leading institution in its field. His professional journey began with a postdoctoral fellowship in bioinformatics, which established the computational foundation for his subsequent research. This experience was complemented by a secondment that provided insight into national scientific funding and administration.<\/p><p>Following his fellowship, he progressed from an assistant researcher to an associate researcher, expanding his teaching and research responsibilities. This trajectory demonstrates a consistent commitment to advancing the scientific understanding of Traditional Chinese Medicine within a high-level academic setting. His roles have consistently blended teaching, research, and institutional service.<\/p><ul>\n<li><strong>2022-Present:<\/strong> Teacher &amp; Associate Researcher, Warm Diseases Teaching and Research Section, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2020-2022:<\/strong> Teacher &amp; Assistant Researcher, Warm Diseases Teaching and Research Section, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2018-2020:<\/strong> Postdoctoral Fellow in Bioinformatics, Teaching and Research Office of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2018-2019:<\/strong> Secretary (Secondment), National Natural Science Foundation of China, Personnel Bureau, Beijing, China.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Academic Qualifications<\/h3><p>Dr. <strong>Chen Bai<\/strong>\u2018s academic background provides a comprehensive and specialized foundation in Traditional Chinese Medicine (TCM), pursued through a rigorous educational path in Beijing. He has systematically advanced his knowledge from an undergraduate degree to a terminal doctoral degree, with each stage focusing on the clinical basics of TCM. This deep specialization has equipped him with the expertise necessary for his research career.<\/p><p>His education at both Capital Medical University and Beijing University of Chinese Medicine reflects a dedication to understanding TCM from a clinical and scientific perspective. This academic training is central to his work, which seeks to validate and innovate upon traditional practices using modern research methodologies.<\/p><ul>\n<li><strong>2015-2018:<\/strong> M.D. degree in TCM Clinical Basics, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2012-2015:<\/strong> M.M. degree in TCM Clinical Basics, Capital Medical University, Beijing, China.<\/li>\n<li><strong>2007-2012:<\/strong> B.S. degree in Traditional Chinese Medicine, Capital Medical University, Beijing, China.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Research and Publications of Chen Bai<\/h3><p>The research of Dr. <strong>Chen Bai<\/strong> is characterized by its interdisciplinary approach, merging big data analytics with the principles of Traditional Chinese Medicine (TCM). His work seeks to unravel the complex links between environmental factors and infectious disease dynamics, a critical area of global public health. By identifying actionable targets for TCM, his research contributes to the development of novel and evidence-based integrative health solutions.<\/p><p>This research agenda is supported by a methodology that combines computational prediction with experimental validation to ensure scientific rigor. Consequently, his findings are aimed at advancing the field of \u201cprecision TCM.\u201d Dr. Bai\u2019s publications reflect this focus on applying modern scientific techniques to understand and enhance traditional medical knowledge, with articles in journals such as SCIENCE CHINA Earth Sciences and Frontiers in Pharmacology.<\/p><h4>Selected Publications:<\/h4><ul>\n<li><strong>2025:<\/strong> Epidemics in late Ming and early Qing dynasties in China\u2014Geographical factors and disease spectrum analysis. <em>SCIENCE CHINA Earth Sciences<\/em>. 2025, 68(6): 1991-2002.<\/li>\n<li><strong>2024:<\/strong> Pharmacological mechanisms of Ma Xing Shi Gan Decoction in treating influenza virus-induced pneumonia: intestinal microbiota and pulmonary glycolysis. <em>Frontiers in Pharmacology<\/em>. 2024, 5(15): 1404021.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Awards and Recognitions<\/h3><p>The work of Dr. <strong>Chen Bai<\/strong> has been acknowledged by several scientific and academic organizations, highlighting the impact and quality of his research contributions. These honors recognize his achievements in both Traditional Chinese Medicine and broader scientific inquiry. They also underscore his status as a highly cited researcher, indicating the influence of his publications within the academic community.<\/p><p>These awards reflect a consistent record of excellence, from institutional recognition of academic achievements to national awards for scientific and technological advancements in Chinese medicine. Therefore, they serve as objective indicators of the value of his research.<\/p><ul>\n<li><strong>2025:<\/strong> Second Prize in the Science and Technology Award of the China Association of Chinese Medicine (ranking 5).<\/li>\n<li><strong>2024:<\/strong> CNKI Highly Cited Researchers \u2013 Top 5%.<\/li>\n<li><strong>2022:<\/strong> Beijing Association for Science and Technology, Capital Frontier Academic Achievements.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Connect with Dr. Bai<\/h3><p>For more detailed information on the research, publications, and academic activities of Dr. <strong>Chen Bai<\/strong>, you can visit his official university profile. This resource provides a comprehensive overview of his work at the Beijing University of Chinese Medicine.<\/p><p>\n<strong>Official University Profile:<\/strong>\n<a href=\"https:\/\/jichu.bucm.edu.cn\/xygk\/jxkyjg\/jys\/wbjys\/szdw6\/77725dde54ff457c83e26382374f351a.htm\" rel=\"noopener noreferrer\" target=\"_blank\">View Professional Profile at BUCM<\/a>\n<\/p><p>\n<strong>ORCID Profile:<\/strong>\n<a href=\"https:\/\/orcid.org\/my-orcid?orcid=0000-0001-8357-9027\" rel=\"noopener noreferrer\" target=\"_blank\">View Publications on ORCID<\/a>\n<\/p>\n<\/div>\n<!-- \/wp:html -->","post_title":"Chen Bai","post_excerpt":"Discover Chen Bai, a researcher at BUCM using big data to link environmental factors and infectious diseases. His work combines computational analysis and experimental validation to develop precise, evidence-based Traditional Chinese Medicine solutions for global health challenges.\n","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"chen-bai","to_ping":"","pinged":"","post_modified":"2025-10-17 15:02:43","post_modified_gmt":"2025-10-17 18:02:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/wctcim.cabsin.org.br\/new\/speaker\/chen-bai\/","menu_order":0,"post_type":"speaker","post_mime_type":"","comment_count":"0","filter":"raw"}],"activity":{"ID":6458,"post_author":"2","post_date":"2025-09-22 09:40:59","post_date_gmt":"2025-09-22 12:40:59","post_content":"","post_title":"Oral Abstract Session \u2758 Nutrition, Planetary Health & Lifestyle","post_excerpt":"This oral abstract session at the WCTCIM explores the critical links between Nutrition and Planetary Health. Experts present research on how lifestyle choices impact global well-being, highlighting sustainable practices and evidence-based approaches for a healthier future for individuals and the planet.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nutrition-planetary-health","to_ping":"","pinged":"","post_modified":"2025-10-12 20:34:07","post_modified_gmt":"2025-10-12 23:34:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/wctcim.cabsin.org.br\/new\/activity\/nutrition-planetary-health\/","menu_order":0,"post_type":"activity","post_mime_type":"","comment_count":"0","filter":"raw"}},"presentation_fields":{"event_day":"18","start_time":"10:45","end_time":"11:00","abstract":"","presentation_speaker":[{"ID":7053,"post_author":"2","post_date":"2025-10-17 14:50:23","post_date_gmt":"2025-10-17 17:50:23","post_content":"<!-- wp:html -->\n<style>\n  .speaker-bio {\n    display: flex;\n    flex-wrap: wrap;\n    align-items: flex-start;\n    gap: 20px;\n  }\n\n  .speaker-bio figure {\n    width: 225px;\n    height: 225px;\n    margin: 0 20px 30px 0;\n  }\n  .speaker-bio figure img {\n    width: 100%;\n    height: 100%;\n    object-fit: cover;\n    border-radius: 50%;\n    border: none;\n  }\n\n  .bio-content {\n    flex: 1;\n    color: #414d58;\n    font-size: 15px;    \n    line-height: 1.6;\n  }\n  .bio-content a {\n    color: #1d89e4;\n    text-decoration: none;\n  }\n\n  .bio-content h2 {\n    font-size: 24px;\n    color: #1d89e4;\n    font-weight: 600;\n    line-height: 1.5;\n    margin-bottom: 1em;\n  }\n  .bio-content h3 {\n    font-size: 18px;\n    color: #1d89e4;\n    font-weight: 500;\n    line-height: 1.4;\n    margin-top: 1.8em;\n    margin-bottom: 0.8em;\n  }\n  .bio-content h4 {\n    font-size: 15px;\n    color: #1d89e4;\n    font-weight: 500;\n    line-height: 1.4;\n    margin-top: 1.5em;\n    margin-bottom: 0.6em;\n  }\n\n  .speaker-separator {\n    margin: 0;\n    border: none;\n    border-top: 1px solid #ccc;\n  }\n\n  @media (max-width: 600px) {\n    .speaker-bio {\n      flex-direction: column;\n      align-items: flex-start;\n      gap: 10px;\n    }\n    .speaker-bio figure {\n      width: 180px;\n      height: 180px;\n      margin-bottom: 10px;\n    }\n    .bio-content {\n      width: 100%;\n      text-align: left;\n    }\n    .bio-content h2 {\n      font-size: 20px;\n      line-height: 1.5;\n      margin-bottom: 0.8em;\n    }\n    .bio-content h3 {\n      font-size: 16px;\n      line-height: 1.4;\n      margin-top: 1.5em;\n      margin-bottom: 0.6em;\n    }\n    .bio-content h4 {\n      font-size: 14px;\n      line-height: 1.4;\n      margin-top: 1.3em;\n      margin-bottom: 0.5em;\n    }\n    .bio-content p,\n    .bio-content ul {\n      font-size: 14px;\n    }\n  }\n<\/style>\n<div class=\"speaker-bio\">\n<figure>\n<img alt=\"Dr. Chen Bai, Associate Researcher at Beijing University of Chinese Medicine\" src=\"https:\/\/wctcim.cabsin.org.br\/new\/wp-content\/uploads\/2025\/10\/chen_bai_profile_2025_10_06.png\"   \/>\n<\/figure>\n<div class=\"bio-content\">\n<h2>Chen Bai<\/h2>\n<p><strong>Dr. Chen Bai<\/strong> is an associate researcher and faculty member at the Beijing University of Chinese Medicine (BUCM). His work focuses on applying big data analytics to explore the connections between environmental factors and the dynamics of infectious diseases. This research aims to identify effective targets for Traditional Chinese Medicine (TCM) interventions.<\/p>\n<p>Consequently, his approach integrates computational methods with experimental validation to advance the field of precision TCM. Dr. Bai\u2019s ultimate goal is the development of novel, evidence-based integrative health solutions that address complex public health challenges.<\/p>\n<p><strong>ORCID Profile:<\/strong>\n<a href=\"https:\/\/orcid.org\/my-orcid?orcid=0000-0001-8357-9027\" rel=\"noopener noreferrer\" target=\"_blank\">https:\/\/orcid.org\/0000-0001-8357-9027<\/a>\n<\/p>\n<\/div>\n<\/div><hr class=\"speaker-separator\"\/>\n<div class=\"bio-content\">\n<h3>Biography and Expertise of Chen Bai<\/h3><p>Dr. <strong>Chen Bai<\/strong> is a faculty member at the Beijing University of Chinese Medicine (BUCM), where he conducts research at the intersection of data science, environmental health, and Traditional Chinese Medicine (TCM). His primary expertise involves using big data analytics to investigate the complex relationships between environmental conditions and the spread of infectious diseases. This innovative approach is designed to discover new applications for TCM in public health.<\/p><p>Dr. Bai\u2019s work directly aligns with the congress\u2019s Thematic Axis, \u201cContributions of TCIM to Global Public Health (Evidence-Based).\u201d By integrating computational prediction with experimental validation, his research supports the principles of the Gujarat Declaration, which call for the scientific validation of traditional medicine. Furthermore, his focus on developing \u201cprecision TCM\u201d contributes to the congress motto pillar of \u201cKnowledge Diversity,\u201d showcasing how ancient medical systems can be adapted and enhanced with modern technology.<\/p><p>The research conducted by <strong>Chen Bai<\/strong> aims to produce actionable insights and evidence-based integrative health solutions. Therefore, his contributions are relevant to the global effort to implement the WHO Traditional Medicine Strategy (2025-2034) by providing a scientific basis for integrating TCM into contemporary healthcare systems to address pressing health challenges.<\/p>\n<\/div>\n<div class=\"bio-content\">\n<h3>Professional Career of Chen Bai<\/h3><p>Dr. <strong>Chen Bai<\/strong> has built a focused and impactful career within the Beijing University of Chinese Medicine (BUCM), a leading institution in its field. His professional journey began with a postdoctoral fellowship in bioinformatics, which established the computational foundation for his subsequent research. This experience was complemented by a secondment that provided insight into national scientific funding and administration.<\/p><p>Following his fellowship, he progressed from an assistant researcher to an associate researcher, expanding his teaching and research responsibilities. This trajectory demonstrates a consistent commitment to advancing the scientific understanding of Traditional Chinese Medicine within a high-level academic setting. His roles have consistently blended teaching, research, and institutional service.<\/p><ul>\n<li><strong>2022-Present:<\/strong> Teacher &amp; Associate Researcher, Warm Diseases Teaching and Research Section, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2020-2022:<\/strong> Teacher &amp; Assistant Researcher, Warm Diseases Teaching and Research Section, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2018-2020:<\/strong> Postdoctoral Fellow in Bioinformatics, Teaching and Research Office of Pharmacology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2018-2019:<\/strong> Secretary (Secondment), National Natural Science Foundation of China, Personnel Bureau, Beijing, China.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Academic Qualifications<\/h3><p>Dr. <strong>Chen Bai<\/strong>\u2018s academic background provides a comprehensive and specialized foundation in Traditional Chinese Medicine (TCM), pursued through a rigorous educational path in Beijing. He has systematically advanced his knowledge from an undergraduate degree to a terminal doctoral degree, with each stage focusing on the clinical basics of TCM. This deep specialization has equipped him with the expertise necessary for his research career.<\/p><p>His education at both Capital Medical University and Beijing University of Chinese Medicine reflects a dedication to understanding TCM from a clinical and scientific perspective. This academic training is central to his work, which seeks to validate and innovate upon traditional practices using modern research methodologies.<\/p><ul>\n<li><strong>2015-2018:<\/strong> M.D. degree in TCM Clinical Basics, Beijing University of Chinese Medicine, Beijing, China.<\/li>\n<li><strong>2012-2015:<\/strong> M.M. degree in TCM Clinical Basics, Capital Medical University, Beijing, China.<\/li>\n<li><strong>2007-2012:<\/strong> B.S. degree in Traditional Chinese Medicine, Capital Medical University, Beijing, China.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Research and Publications of Chen Bai<\/h3><p>The research of Dr. <strong>Chen Bai<\/strong> is characterized by its interdisciplinary approach, merging big data analytics with the principles of Traditional Chinese Medicine (TCM). His work seeks to unravel the complex links between environmental factors and infectious disease dynamics, a critical area of global public health. By identifying actionable targets for TCM, his research contributes to the development of novel and evidence-based integrative health solutions.<\/p><p>This research agenda is supported by a methodology that combines computational prediction with experimental validation to ensure scientific rigor. Consequently, his findings are aimed at advancing the field of \u201cprecision TCM.\u201d Dr. Bai\u2019s publications reflect this focus on applying modern scientific techniques to understand and enhance traditional medical knowledge, with articles in journals such as SCIENCE CHINA Earth Sciences and Frontiers in Pharmacology.<\/p><h4>Selected Publications:<\/h4><ul>\n<li><strong>2025:<\/strong> Epidemics in late Ming and early Qing dynasties in China\u2014Geographical factors and disease spectrum analysis. <em>SCIENCE CHINA Earth Sciences<\/em>. 2025, 68(6): 1991-2002.<\/li>\n<li><strong>2024:<\/strong> Pharmacological mechanisms of Ma Xing Shi Gan Decoction in treating influenza virus-induced pneumonia: intestinal microbiota and pulmonary glycolysis. <em>Frontiers in Pharmacology<\/em>. 2024, 5(15): 1404021.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Awards and Recognitions<\/h3><p>The work of Dr. <strong>Chen Bai<\/strong> has been acknowledged by several scientific and academic organizations, highlighting the impact and quality of his research contributions. These honors recognize his achievements in both Traditional Chinese Medicine and broader scientific inquiry. They also underscore his status as a highly cited researcher, indicating the influence of his publications within the academic community.<\/p><p>These awards reflect a consistent record of excellence, from institutional recognition of academic achievements to national awards for scientific and technological advancements in Chinese medicine. Therefore, they serve as objective indicators of the value of his research.<\/p><ul>\n<li><strong>2025:<\/strong> Second Prize in the Science and Technology Award of the China Association of Chinese Medicine (ranking 5).<\/li>\n<li><strong>2024:<\/strong> CNKI Highly Cited Researchers \u2013 Top 5%.<\/li>\n<li><strong>2022:<\/strong> Beijing Association for Science and Technology, Capital Frontier Academic Achievements.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bio-content\">\n<h3>Connect with Dr. Bai<\/h3><p>For more detailed information on the research, publications, and academic activities of Dr. <strong>Chen Bai<\/strong>, you can visit his official university profile. This resource provides a comprehensive overview of his work at the Beijing University of Chinese Medicine.<\/p><p>\n<strong>Official University Profile:<\/strong>\n<a href=\"https:\/\/jichu.bucm.edu.cn\/xygk\/jxkyjg\/jys\/wbjys\/szdw6\/77725dde54ff457c83e26382374f351a.htm\" rel=\"noopener noreferrer\" target=\"_blank\">View Professional Profile at BUCM<\/a>\n<\/p><p>\n<strong>ORCID Profile:<\/strong>\n<a href=\"https:\/\/orcid.org\/my-orcid?orcid=0000-0001-8357-9027\" rel=\"noopener noreferrer\" target=\"_blank\">View Publications on ORCID<\/a>\n<\/p>\n<\/div>\n<!-- \/wp:html -->","post_title":"Chen Bai","post_excerpt":"Discover Chen Bai, a researcher at BUCM using big data to link environmental factors and infectious diseases. 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