Megha Jha | Telehealth and Telemedicine | Best Researcher Award

Ms. Megha Jha | Telehealth and Telemedicine | Best Researcher Award

Senior Researcher | Center for Improving Value in Health Care | United States

Dr. Megha Jha is a public health researcher and healthcare data analyst with over eight years of experience in health economics, outcomes research, and program evaluation, integrating advanced analytics with applied public health policy to promote equitable healthcare delivery. As a Senior Evaluation and Research Analyst at the Center for Improving Value in Health Care (CIVHC) in Denver, Colorado, she leads evaluations using the Colorado All Payer Claims Database (CO APCD) to address issues such as dental care access, Medicaid unwind, COVID-19 impacts, telehealth utilization, and social determinants of health. Her expertise spans healthcare claims analysis, policy evaluation, and disparities research, employing SAS, SQL, R, and Tableau to generate actionable insights for agencies and nonprofits serving underserved and BIPOC communities. She has co-authored several peer-reviewed publications in Preventive Medicine, Toxins, African Journal of AIDS Research, and the American Journal of Hospice and Palliative Medicine, advancing understanding of how structural and socioeconomic factors influence health outcomes. Previously, she held analytical and epidemiological roles at the University of Alabama at Birmingham and the Alabama Medicaid Agency, contributing to NIH-funded studies and state-level health program evaluations. Trained as both a dentist (BDS) and an epidemiologist (MPH, University of Alabama at Birmingham), Dr. Jha brings an interdisciplinary perspective bridging clinical practice and population health research. Through collaborations with academic institutions, state agencies, and initiatives such as the Multi-State Data Initiative (MSDI), she continues to strengthen the evidence base for data-driven policy and equitable healthcare transformation, making a sustained impact on public health systems locally and globally.

Featured Publications

Akinyemiju, T., Jha, M., Moore, J. X., & Pisu, M. (2016). Disparities in the prevalence of comorbidities among U.S. adults by state Medicaid expansion status. Preventive Medicine, 88, 196–202.

Jolly, P. E., Akinyemiju, T. F., Jha, M., Aban, I., Gonzalez-Falero, A., & Joseph, D. (2015). Temporal variation and association of aflatoxin B₁ albumin-adduct levels with socio-economic and food consumption factors in HIV-positive adults. Toxins, 7(12), 5129–5140.

Jolly, P. E., Padilla, L. A., Ahmed, C., Harris, C., Mthethwa, N., Jha, M., Ba, I., Styles, A., Hope, S. P., Brooks, R., Naluyinda-Kitabire, F., Mamba, M., & Preko, P. (2018). Barriers to antiretroviral therapy initiation for HIV-positive children aged 2–18 months in Swaziland. African Journal of AIDS Research, 17(2), 193–202.

Ford, D. H., Jardim, R., Landry, K., Jha, M., Nwi-Mozu, I., Joines, K., & Isiogu, M. (2025). Impact of provider health information exchange services on patient utilization of emergency room and inpatient practices in Colorado. Journal of Clinical Medicine, 14(21), 7783.

Ford, D. H., Landry, K., Jha, M., & Meyer, M. (2025). Hospice care in Colorado: A claims-based identification approach. 2025 AcademyHealth Annual Research Meeting.

Dr. Megha Jha’s research advances data-driven public health policy by translating complex healthcare data into actionable insights that promote equity, efficiency, and access in healthcare systems. Her work bridges epidemiology, health economics, and data science to inform evidence-based interventions that reduce disparities and strengthen population health outcomes globally.

Nalini Manogara | Artificial Intelligence | Best Academic Researcher Award

Dr. Nalini Manogara | Artificial Intelligence |  Best Academic Researcher Award

Associate Professor  at S.A. Engineering College, India

Dr. M. Nalini is a distinguished academician with over 14 years of teaching and research experience in Computer Science and Engineering. Currently serving as an Associate Professor, she has demonstrated excellence in academia through her impactful publications in high-ranking SCI and Scopus-indexed journals, focusing on areas like wireless sensor networks, cloud healthcare systems, and network security. Dr. Nalini has received several prestigious awards, including the Best Research Award (2019) and Academic Excellence Award (2024). She has actively contributed to academic leadership by organizing symposiums, FDPs, and conferences, while also mentoring Ph.D. scholars and engineering students. A recipient of multiple IEEE-sponsored grants, she is an active member of several professional bodies such as IEEE, ISTE, and ACM. Her commitment to academic growth, curriculum development, and research funding showcases her dedication to advancing education and technology. Dr. Nalini is a highly deserving candidate for the Best Academic Researcher Award.

Professional Profile 

Education🎓

Dr. M. Nalini has a strong academic foundation in Computer Science and Engineering, marked by consistent academic excellence throughout her educational journey. She earned her Ph.D. in Computer Science and Engineering from St. Peter’s Institute of Higher Education and Research in 2018, where she conducted research on efficient anomaly detection and data redundancy elimination. Prior to that, she completed her M.Tech in Computer Science and Engineering from B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, in 2012 with an impressive CGPA of 9.1, securing the University’s third rank. Her undergraduate studies were completed at V.P.M.M. College for Women, affiliated with Anna University, where she received a B.E. in Computer Science and Engineering in 2010. She also demonstrated academic excellence in her school years, securing 91% in SSLC and 73.42% in HSC. In 2024, she further enriched her academic credentials by completing a Post-Doctoral Fellowship, expanding her research expertise.

Professional Experience📝

Dr. M. Nalini brings over 14 years of diverse professional experience in academia and industry, showcasing a progressive career in teaching, research, and leadership. She began her academic journey as a Lecturer at Sakthi Mariamman Engineering College (2010–2012), followed by roles as Assistant Professor at RVS Padhmavathy College and Sri Nandhanam College of Engineering and Technology, where she contributed to academic excellence and student mentoring. In 2018, she gained valuable industry exposure as a Software Trainee at J.J. Automation Pvt. Ltd., enriching her practical understanding of technology. She then served as Assistant Professor at Saveetha School of Engineering until mid-2022, where she was actively involved in research and faculty development programs. Currently, she is an Associate Professor at S.A. Engineering College, where she leads academic initiatives, mentors Ph.D. scholars, and coordinates national and international academic events. Her well-rounded experience highlights her dedication to both academic advancement and professional excellence.

Research Interest🔎

Dr. M. Nalini’s research interests lie at the intersection of advanced computing technologies and real-world applications, with a strong focus on data mining, machine learning, wireless sensor networks, and network security. Her scholarly work explores intelligent systems capable of detecting anomalies, optimizing data storage, and enhancing communication protocols, particularly in the context of large-scale data environments. She has conducted extensive research on intrusion detection systems, cloud-based healthcare applications, and AI-driven behavioral prediction models, contributing significantly to the fields of cybersecurity and smart computing. Dr. Nalini is also deeply interested in emerging areas such as explainable artificial intelligence (XAI), Internet of Things (IoT), and edge computing. Her projects emphasize both theoretical frameworks and practical implementation, aimed at developing scalable and efficient solutions for complex problems. Through her research, she aims to bridge the gap between academic innovation and industrial application, fostering technological advancement and societal impact.

Award and Honor🏆

Dr. M. Nalini has been widely recognized for her academic excellence and impactful contributions to research and education. She received the prestigious Best Research Award in 2019 from the International Association for Science and Technical Education (IASTE), acknowledging her innovative work in computer science. In 2020, she was honored with the Best Women Faculty Award by the Amaravathi Research Academy’s Faculty Excellence Awards, highlighting her dedication to teaching and mentoring. Most recently, she earned the Academic Excellence Award in 2024 from the Association of Intellectual Professionals (AIP), a testament to her consistent academic performance and leadership in scholarly activities. In addition, she has served as a resource person in ATAL Faculty Development Programs, completed multiple certifications including NPTEL courses, and has received significant funding and sponsorships for technical events and faculty development initiatives from reputed bodies such as IEEE, ACM, and CSI. These accolades reflect her outstanding professional achievements and leadership in academia.

Research Skill🔬

Dr. M. Nalini possesses a robust set of research skills that reflect her deep expertise in computer science and engineering. Her proficiency spans key domains such as data mining, machine learning, artificial intelligence, cloud computing, and network security. She is skilled in developing innovative algorithms for intrusion detection, anomaly detection, and data deduplication, with proven results published in SCI and Scopus-indexed journals. Dr. Nalini is adept at using various programming languages including C, C++, Java, and tools like XML, HTML, and PHP for web-based applications. Her ability to conduct high-quality empirical research, design complex experimental setups, and apply optimization models to real-world challenges demonstrates her analytical depth. She is also experienced in guiding Ph.D., M.Tech, and B.E. students in research projects, helping them translate ideas into tangible outcomes. With strong writing, critical thinking, and technical documentation skills, Dr. Nalini effectively communicates her findings to both academic and professional communities.

Conclusion💡

Dr. M. Nalini possesses the scholarly depth, leadership, technical expertise, and academic service credentials to deserve strong consideration for the Best Academic Researcher Award. Her consistent record of research, publication in reputed journals, mentoring roles, academic event leadership, and recognized contributions to the academic community affirm her excellence in academia.

Publications Top Noted✍️

  1. An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

    • Authors: J. Aswini, B. Yamini, R. Jatothu, K.S. Nayaki, M. Nalini

    • Year: 2022

    • Citations: 57

  2. Characterization of Rubia cordifolia L. root extract and its evaluation of cardioprotective effect in Wistar rat model

    • Authors: B.S. Chandrashekar, S. Prabhakara, T. Mohan, D. Shabeer, B. Bhandare, et al.

    • Year: 2018

    • Citations: 56

  3. Energy-efficient cluster-based routing protocol for WSN based on hybrid BSO–TLBO optimization model

    • Authors: K. Krishnan, B. Yamini, W.M. Alenazy, M. Nalini

    • Year: 2021

    • Citations: 51

  4. A comprehensive survey on Naive Bayes algorithm: Advantages, limitations and applications

    • Authors: P.J.B. Pajila, B.G. Sheena, A. Gayathri, J. Aswini, M. Nalini

    • Year: 2023

    • Citations: 26

  5. Opportunities for improving crop water productivity through genetic enhancement of dryland crops

    • Authors: C.L.L. Gowda, R. Serraj, G. Srinivasan, Y.S. Chauhan, B.V.S. Reddy, K.N. Rai, et al.

    • Year: 2009

    • Citations: 25

  6. Predictive modelling for lung cancer detection using machine learning techniques

    • Authors: B. Yamini, K. Sudha, M. Nalini, G. Kavitha, R.S. Subramanian, R. Sugumar

    • Year: 2023

    • Citations: 22

  7. AI and IoT applications in medical domain enhancing healthcare through technology integration

    • Authors: K. Sudha, C. Ambhika, B. Maheswari, P. Girija, M. Nalini

    • Year: 2023

    • Citations: 19

  8. Energy harvesting and management from ambient RF radiation

    • Authors: M. Nalini, J.V.N. Kumar, R.M. Kumar, M. Vignesh

    • Year: 2017

    • Citations: 18

  9. Accuracy Analysis for Logistic Regression Algorithm and Random Forest Algorithm to Detect Frauds in Mobile Money Transaction

    • Authors: G.M. Kumar, M. Nalini

    • Year: 2021

    • Citations: 11

  10. Anomaly Detection Via Eliminating Data Redundancy and Rectifying Data Error in Uncertain Data Streams

  • Authors: S.A. M. Nalini

  • Year: 2014

  • Citations: 11

Afeez Soladoye | Machine learning | Young Scientist Award

Mr. AfeezSoladoye | Machine learning | Young Scientist Award

Lecturer at Federal university Oye-Ekiti, Nigeria

Soladoye Afeez Adekunle is a promising young scholar in Computer Engineering, currently pursuing his Ph.D. at the Federal University Oye-Ekiti. With a Master’s degree earned with distinction, he has demonstrated strong academic and research capabilities. His work spans machine learning, artificial intelligence, and applied computing, including the development of medical prediction systems and fake news detection using deep learning. In addition to his teaching responsibilities at undergraduate and postgraduate levels, he actively contributes as a peer reviewer for reputable journals such as BMJ Open and serves as a technical editor. His involvement in academic committees and university-level projects reflects his leadership and dedication to institutional development. While his practical projects are impactful, the inclusion of more peer-reviewed publications and measurable research outcomes would further enhance his profile. Overall, his commitment to innovation, education, and research makes him a suitable and competitive candidate for the Young Scientist Award.

Professional Profile

Education🎓

Soladoye Afeez Adekunle has a solid educational background in Computer Engineering, reflecting his dedication to academic excellence and continuous professional development. He is currently pursuing a Ph.D. in Computer Engineering at the Federal University Oye-Ekiti, Nigeria, with a research focus on advanced computing and intelligent systems. He previously earned a Master of Engineering (M.Eng) in Computer Engineering from the same university, graduating with distinction in 2023. His undergraduate studies were completed at Ladoke Akintola University of Technology, Ogbomosho, where he obtained a Bachelor of Technology (B.Tech) degree in Computer Engineering in 2016. His foundational education includes a Senior School Leaving Certificate from Foundation Model College, Ikirun, in 2009, and a Primary School Leaving Certificate from Al-hilal Nursery and Primary School, Ikirun, in 2003. His academic journey reflects a consistent commitment to learning, skill acquisition, and growth in the field of computer science and engineering, preparing him for a successful career in research and education.

Professional Experience📝

Soladoye Afeez Adekunle has amassed valuable professional experience across academia, research, and industry. He currently serves as a Lecturer II in the Department of Computer Engineering at the Federal University Oye-Ekiti, where he teaches both undergraduate and postgraduate courses, supervises student projects, and mentors young researchers. In addition to his teaching role, he is the Assistant Examination Officer and Level Advisor, playing a vital role in exam coordination and academic advising. He also contributes as a Technical Editor for the FUOYE Journal of Engineering and Technology and reviews scholarly articles for esteemed journals like BMJ Open and the Nigerian Journal of Technological Development. As a freelance Machine Learning Engineer, he has developed predictive systems for medical diagnosis and fake news detection, showcasing his ability to apply research in practical contexts. His previous roles include network engineering trainee and peer tutor, reflecting a versatile and well-rounded professional path in computer science and engineering.

Research Interest🔎

Soladoye Afeez Adekunle has earned recognition for his dedication to academic excellence, professional service, and contributions to the field of computer engineering. He graduated with distinction in his Master’s degree in Computer Engineering from the Federal University Oye-Ekiti, a testament to his academic strength and commitment to excellence. He has also been entrusted with key roles within the university, such as Assistant Examination Officer, Level Advisor, and member of several strategic committees, including the Artificial Intelligence Committee and departmental accreditation teams. These roles highlight the trust placed in him by his peers and institutional leadership. Additionally, his active involvement as a reviewer for respected international and national journals such as BMJ Open and the Nigerian Journal of Technological Development reflects recognition of his scholarly competence and critical thinking. Although formal awards are not explicitly listed, his growing responsibilities, editorial roles, and consistent academic performance collectively reflect a strong professional honor and recognition within his academic community.

Award and Honor🏆

Soladoye Afeez Adekunle has earned recognition for his dedication to academic excellence, professional service, and contributions to the field of computer engineering. He graduated with distinction in his Master’s degree in Computer Engineering from the Federal University Oye-Ekiti, a testament to his academic strength and commitment to excellence. He has also been entrusted with key roles within the university, such as Assistant Examination Officer, Level Advisor, and member of several strategic committees, including the Artificial Intelligence Committee and departmental accreditation teams. These roles highlight the trust placed in him by his peers and institutional leadership. Additionally, his active involvement as a reviewer for respected international and national journals such as BMJ Open and the Nigerian Journal of Technological Development reflects recognition of his scholarly competence and critical thinking. Although formal awards are not explicitly listed, his growing responsibilities, editorial roles, and consistent academic performance collectively reflect a strong professional honor and recognition within his academic community.

Research Skill🔬

Soladoye Afeez Adekunle possesses a diverse and practical set of research skills that align with cutting-edge developments in computer engineering and artificial intelligence. His expertise includes data analysis, machine learning model development, deep learning, and natural language processing. He has applied these skills in various impactful projects such as medical prediction systems for cancer and stroke, fake news detection, and object measurement using computer vision techniques. Adept at data preprocessing, model training, performance evaluation, and algorithm optimization, he ensures high-quality and accurate research outcomes. He is also skilled in using tools and frameworks such as Python, TensorFlow, Keras, and MATLAB for simulation and modeling. His experience in peer reviewing academic journals and formatting manuscripts further demonstrates his understanding of scientific writing and research ethics. Soladoye’s ability to merge academic research with practical application, along with his commitment to innovation, positions him as a capable and forward-thinking researcher in the technology domain.

Conclusion💡

Soladoye, Afeez Adekunle presents a strong case for the Young Scientist Award, especially in the areas of emerging technologies, machine learning, and applied computing. His academic excellence, teaching versatility, peer-review contributions, and practical ML project development demonstrate his passion and potential.

Publications Top Noted✍️

  • Title: IMPACT OF SOCIAL MEDIA ON POLICE BRUTALITY AWARENESS IN NIGERIA

    • Authors: OJOA, SOLADOYE Afeez A.

    • Year: 2020

    • Citations: 24

  • Title: Detection of Cervical Cancer Using Deep Transfer Learning

    • Authors: B.A. Omodunbi, A.A. Soladoye, A.O. Esan, N.S. Okomba, T.G.O.O.M. Ojelabi

    • Year: 2024

    • Citations: 4*

  • Title: Optimizing Stroke Prediction Using Gated Recurrent Unit and Feature Selection in Sub-Saharan Africa

    • Authors: A.A. Soladoye, D.B. Olawade, I.A. Adeyanju, O.M. Akpa, N. Aderinto, et al.

    • Year: 2025

    • Citations: 2

  • Title: E-learning: Significance on Federal Unity Schools Students’ in Nigeria Amidst COVID-19 Lockdown

    • Authors: A.A. Soladoye

    • Year: 2020

    • Citations: 2

  • Title: Development of a Medical Condition Prediction Model Using Natural Language Processing with K-Nearest Neighbour

    • Authors: B.A. Omodunbi, A.A. Soladoye, N.S. Okomba, M.O. Ayinla, C.S. Odeyemi

    • Year: [Year not specified]

    • Citations: 2*

  • Title: Smart Hospitality: Leveraging Technological Advances to Enhance Customer Satisfaction

    • Authors: O.O. Osadare, O.N. Akande, A.A. Soladoye, P.O. Sobowale

    • Year: 2024

    • Citations: 1

  • Title: Internet of Things (IoT) Based Remote Surveillance Camera for Supervision of Examinations

    • Authors: C. Segun Odeyemi, B.A. Omodunbi, O.M. Olaniyan, A.A. Soladoye

    • Year: 2024

    • Citations: 1

  • Title: Prediction of Customer Satisfaction in Airline Hospitality Services for Improved Service Delivery Using Support Vector Machine

    • Authors: A.A. Sobowale, O.O. Osadare, A.A. Soladoye, P.O. Sobowale

    • Year: 2024

    • Citations: 1

  • Title: Development of an Interactive Android-Based Ayo-Olopon Game

    • Authors: E.Y. Bolaji Abigail Omodunbi, Afeez Adekunle Soladoye, Opeyemi Asaolu

    • Year: 2023

    • Citations: 1

Olympia Anastasiadou | Digital Healthcare | Best Review Paper Award

Mrs. Olympia Anastasiadou | Digital Healthcare | Best Review Paper Award

Deputy director of nursing department at University of Western Macedonia School, Greece

Olympia Anastasiadou is a highly qualified healthcare professional and researcher, demonstrating a strong interdisciplinary background with degrees in Nursing, Health Management, Bioethics, and ongoing doctoral studies in Digital Health Services. As Deputy Director of Nursing at the General Hospital of Thessaloniki, she integrates clinical leadership with academic insight, focusing her research on digital health, bioethics, and healthcare management. Her work addresses critical issues such as ethical dilemmas, digitalization of health services, and patient autonomy, with several peer-reviewed publications in respected journals. Olympia’s research is timely and relevant, particularly in the context of crisis-driven healthcare transformation. While her work shows great depth and societal impact, expanding her international collaborations and increasing her presence in high-impact global journals would further elevate her profile. Overall, Olympia’s contributions to healthcare research and practice make her a strong and deserving candidate for the Best Researcher Award, reflecting both academic excellence and real-world relevance.

Professional Profile 

Education

Olympia Anastasiadou possesses a rich and multidisciplinary educational background that underpins her contributions to healthcare and research. She earned her undergraduate degree in Nursing from the National and Kapodistrian University of Athens in 2003. She holds two Master’s degrees—one in Health and Welfare Unit Management from the International Hellenic University, completed with honors in 2021, and another in Modern Medical Procedures, Legal Regulation, and Bioethics from the Medical School of Aristotle University of Thessaloniki, also completed with distinction. Her academic excellence is evident in her consistent top performance and commitment to bridging clinical practice with ethical and administrative considerations. Currently, she is pursuing a PhD in the Department of Electrical and Computer Engineering at the University of Western Macedonia. Her doctoral research focuses on digital health services during crises, reflecting a forward-thinking and innovative approach to healthcare delivery. Olympia’s education reflects a strong foundation in both healthcare practice and strategic leadership.

Professional Experience

Olympia Anastasiadou has extensive professional experience that combines clinical leadership, healthcare management, and academic research. Since 2020, she has served as the Deputy Director of the Nursing Service at the General Hospital of Thessaloniki “G. Gennimatas,” where she plays a pivotal role in overseeing patient care quality, staff coordination, and operational efficiency. Her position allows her to bridge the gap between hands-on nursing practice and administrative strategy, ensuring the implementation of high standards in health service delivery. Olympia’s leadership is informed by her academic background in health management and bioethics, allowing her to address complex healthcare challenges with ethical insight and strategic planning. In addition to her administrative duties, she actively participates in healthcare research, contributing to publications on service quality, employee satisfaction, ethical dilemmas, and digital health transformation. Her dual expertise in clinical practice and health systems management positions her as a key contributor to the advancement of modern healthcare.

Research Interest

Olympia Anastasiadou’s research interests lie at the intersection of healthcare, ethics, and digital innovation. She is particularly focused on the ethical, administrative, and practical dimensions of healthcare delivery in the modern era. Her work explores digital health services, especially in times of crisis, aiming to understand how technology can enhance patient care while preserving ethical standards and human dignity. She is deeply interested in the digitalization and interoperability of health systems, examining both the benefits and the ethical dilemmas they pose. Olympia also investigates issues related to informed consent, patient autonomy, and decision-making for patients unable to express their will. Additionally, she studies employee satisfaction, total quality management in health services, and the impact of organizational culture on care delivery. Her multidisciplinary approach, combining nursing, health management, and bioethics, allows her to address healthcare challenges holistically, making her research both socially relevant and practically impactful in shaping the future of healthcare systems.

Award and Honor

Olympia Anastasiadou has received several academic honors that reflect her dedication to excellence in healthcare and research. She graduated with distinction from both of her postgraduate programs—first, the Interdepartmental Postgraduate Program in “Management of Health and Welfare Units” at the International Hellenic University, and second, the postgraduate program in “Modern Medical Procedures, Legal Regulation and Bioethical Dimension” at the Aristotle University of Thessaloniki Medical School. These honors recognize her outstanding academic performance, analytical capabilities, and deep engagement with complex ethical and administrative issues in healthcare. In addition to her academic achievements, Olympia has earned professional recognition through her appointment as Deputy Director of the Nursing Service at the General Hospital of Thessaloniki “G. Gennimatas,” a role that signifies trust in her leadership, expertise, and contributions to healthcare improvement. Her consistent pursuit of excellence and recognition by academic and professional institutions underscores her commitment to advancing quality and ethics in healthcare.

Research skill

Olympia Anastasiadou possesses a diverse and well-rounded set of research skills that span across clinical practice, healthcare management, bioethics, and digital health. She demonstrates strong capabilities in qualitative and quantitative research methodologies, particularly in designing and conducting surveys, literature reviews, and case studies that address real-world healthcare issues. Her analytical skills are evident in her ability to interpret complex data, assess service quality, and evaluate patient and staff satisfaction within healthcare institutions. Olympia is also skilled in exploring ethical dimensions of medical practice, especially in contexts involving informed consent, patient rights, and digital transformation. Her doctoral research on digital health services in times of crisis highlights her ability to connect technological advancement with human-centered care. Additionally, her experience in publishing across interdisciplinary fields showcases her writing, critical thinking, and academic communication skills. Olympia’s research proficiency allows her to produce work that is not only academically rigorous but also impactful in shaping modern healthcare systems.

Conclusion

Olympia Anastasiadou demonstrates strong suitability for the Best Review Paper Award, particularly due to:

  • The relevance and quality of her 2025 review article,

  • Her interdisciplinary and ethical insight into healthcare innovation,

  • And her ongoing commitment to academic and professional excellence.

Publications top Noted 

1. Digital Healthcare Innovative Services in Times of Crisis: A Literature Review

  • Authors: Olympia Anastasiadou, Markos Tsipouras, Panagiotis Mpogiatzidis, Pantelis Angelidis

  • Year: 2025

  • Journal: Healthcare

  • DOI: 10.3390/healthcare13080889

  • Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

2. Issues of Consent to Medical Procedures by Patients Who Are Unable to Externalize Their Will—Living Wills

  • Author: Olympia Anastasiadou

  • Year: 2023

  • Journal: Surgical Chronicles

  • EID: 2-s2.0-85173945170

  • ISSN: 1108-5002