Weiling He | Cancer Genomics Computational Studies | Best Researcher Award

Prof. Weiling He | Cancer Genomics Computational Studies | Best Researcher Award

Professor at Xiamen University, China

Dr. Weiling He is a leading figure in precision oncology, serving as Chief Physician, Professor, Doctoral and Postdoctoral Supervisor, and President of Xiang’an Hospital at Xiamen University. He is widely recognized for his contributions to cancer treatment, particularly in the domains of tumor microenvironments and drug resistance. Honored with the National Natural Science Foundation of China’s Excellent Young Scientist Fund and recognized as a Distinguished Young Medical Talent of Guangdong Province, Dr. He has established himself as a trailblazer in translational medical research. His prolific output includes over 50 SCI-indexed publications and six granted patents, underscoring his influence in both academia and clinical application.

Profile

Scopus

Education

Dr. He holds both an MD and a PhD, equipping him with a robust foundation for navigating the complex landscape of cancer research and treatment. His academic journey reflects a commitment to scientific excellence and multidisciplinary learning, enabling him to bridge the gap between theoretical research and clinical practice. The integration of medicine and scientific inquiry during his training shaped his ongoing work in precision medicine, translational oncology, and systems biology.

Experience

With a career marked by leadership and innovation, Dr. He currently serves as the President of Xiang’an Hospital at Xiamen University. He has led more than 20 research projects at the national and provincial levels, including prestigious programs under the National Key R&D Initiative and the National Natural Science Foundation of China. Dr. He has also contributed extensively to industry-academia collaboration, participating in strategic projects like the Guangdong Soft Science Program and the Guangzhou Future Industry Initiative. His academic affiliations include leadership roles in over ten national medical associations, reflecting a deep engagement with both clinical and academic ecosystems.

Research Interest

Dr. He’s research focuses on unraveling the mechanisms of tumor drug resistance, exploring metastasis pathways, and analyzing the tumor microenvironment. He is particularly interested in precision interventional therapy and the development of biomaterials and microfluidic technologies for real-time monitoring and treatment. His interdisciplinary approach combines oncology, engineering, and systems biology to improve the outcomes of metastatic cancer therapies. Through collaborative research with institutions such as Sun Yat-sen University and Emory University, he advances new methodologies in clinical translation and integrative cancer treatment.

Award

Dr. Weiling He has received several distinguished honors throughout his career. Among them, the National Natural Science Foundation of China awarded him the Excellent Young Scientist Fund, recognizing his outstanding potential and research impact in oncology. In addition, he was named a Distinguished Young Medical Talent of Guangdong Province, affirming his influence on medical innovation and leadership. His work is frequently acknowledged in national and international forums, and he has played a pivotal role in advancing precision medicine initiatives across China.

Publication

Dr. He has authored more than 50 papers indexed in SCI journals, with several appearing in top-tier publications. Notable recent works include:

“Immune Microenvironment Remodeling in Colorectal Cancer,” Cancer Immunology Research, 2020 – cited 326 times.

“Dual Nanoparticle Delivery in Precision Oncology,” Advanced Science, 2021.

“Microfluidic Chips for Real-time Tumor Monitoring,” Nature Communications, 2022.

“Translational Biomaterials in Interventional Therapy,” Science Translational Medicine, 2023 (cover article).

“Integrated Oncology Systems for Drug Resistance,” Nature Cancer, 2023.

“Microsphere Technology for Metastatic Cancer,” Advanced Science, 2024.

“Tumor Sensitization Targets for Interventional Therapy,” Nature Communications, 2024.

These publications have garnered over 1000 citations in total, with multiple works recognized as “Highly Cited Papers” in their respective fields.

Conclusion

Dr. Weiling He’s exceptional academic record, impactful research, numerous high-impact publications, robust patent portfolio, and her pivotal role in the advancement of precision oncology mark her as a standout candidate for the Best Researcher Award. Her commitment to interdisciplinary innovation and translational impact makes her not only deserving of this honor but a role model for future generations in computational and medical biology.

Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

Assist. Prof. Dr. Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

Assistant Professor of Medical Physics at  Debre Tabor University, Ethiopia.

Dr. Eyachew Misganew Tegaw is an Assistant Professor of Medical Physics at Debre Tabor University, Ethiopia. He earned his Ph.D. from Tehran University of Medical Sciences, specializing in intraoperative radiotherapy using nanoparticles for breast cancer treatment. His research spans medical imaging, radiation therapy, nanomedicine, and AI applications in oncology. Dr. Eyachew Misganew Tegaw has published extensively in peer-reviewed journals and actively contributes to scientific advancement through research, mentorship, and international collaboration.

👨‍🎓 Educational Background:

Eyachew Misganew Tegaw holds a Ph.D. in Medical Physics from the Tehran University of Medical Sciences (TUMS), Iran, where he specialized in intraoperative radiotherapy (IORT) using nanoparticles for breast cancer treatment. His academic journey began with a B.Sc. in Applied Physics from the University of Gondar, followed by an M.Sc. in Condensed Matter Physics from Mekelle University. Across these programs, he built a strong foundation in quantum mechanics, computational physics, and radiation therapy physics, gaining multidisciplinary expertise in both theoretical and applied domains.

Profile:

👨‍🏫 Professional Experience:

With over a decade of academic service, Dr. Eyachew Misganew Tegaw currently serves as an Assistant Professor in the Department of Physics at Debre Tabor University, Ethiopia. He previously held the position of Lecturer at the same institution, actively contributing to curriculum development and student mentorship. His leadership experience includes a two-year term as Department Head and three years as Chair of the Ethiopian Space Science Society (Debre Tabor Branch), showcasing his commitment to both academic and community development.

🧪 Research Interests:

Dr. Eyachew Misganew Tegaw is a highly driven researcher with diverse interests spanning medical physics, radiotherapy technologies, medical imaging, radiation dosimetry, nanomedicine, Monte Carlo simulations, and artificial intelligence. His work integrates cutting-edge approaches like deep learning and machine learning with traditional medical physics techniques, aiming to enhance cancer treatment planning and medical imaging. He is especially passionate about nanoparticle-enhanced therapies and computational modeling for improved patient outcomes in oncology.

🔍 Areas for Improvement:

While Dr. Eyachew Misganew Tegaw has made significant strides in academic research, increased visibility through invited talks, expanded international partnerships, and higher engagement in translational clinical projects could further enhance his research impact. Diversifying funding sources and mentoring emerging researchers may also solidify his standing in the global scientific community.

📚 Scientific Contributions

Dr. Eyachew has authored and co-authored numerous peer-reviewed journal articles in high-impact scientific journals. His publications cover a wide range of topics such as Monte Carlo simulations for radiotherapy, nanoparticle-enhanced imaging and treatment, and explainable AI in oncology. Notable among his recent works is a 2025 article in Scientific Reports comparing survival outcomes in breast cancer surgery, and another accepted paper focusing on AI for lung cancer survival prediction. His systematic reviews and meta-analyses have also significantly contributed to evidence-based practice in cancer diagnosis and therapy.

Publications:

  1. Diagnostic performance of mammography and ultrasound in breast cancer: A systematic review and meta-analysis
    Journal of Ultrasound, 2023

  2. Dosimetric characteristics of the INTRABEAM® system with spherical applicators in the presence of air gaps and tissue heterogeneities
    Radiation and Environmental Biophysics, 2020

  3. Techniques for generating attenuation map using cardiac SPECT emission data only: A systematic review
    Annals of Nuclear Medicine, 2019

  4. Molecular imaging approaches in the diagnosis of breast cancer: A systematic review and meta-analysis
    Iranian Journal of Nuclear Medicine, 2020

  5. Comparison of organs at risk doses between deep inspiration breath-hold and free-breathing techniques during radiotherapy of left-sided breast cancer: A meta-analysis
    Polish Journal of Medical Physics and Engineering, 2022

  6. Gold-nanoparticle-enriched breast tissue in breast cancer treatment using the INTRABEAM® system: A Monte Carlo study
    Radiation and Environmental Biophysics, 2022

  7. Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM® system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
    Biomedical Physics & Engineering Express, 2021

  8. A comparison between EGSnrc/Epp and MCNP in simulation of dosimetric parameters for radiotherapy applications
    Journal of Biomedical Physics & Engineering, 2021

  9. Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries
    Scientific Reports, 2025

  10. Attenuation correction for dedicated cardiac SPECT imaging without using transmission data
    Molecular Imaging and Radionuclide Therapy, 2023

  11. Comparative study between EPID and CBCT for radiation treatment verifications
    Iranian Journal of Medical Physics, 2018