Asli Altunbas | Medicine and Dentistry | Young Researcher Award

Published on by Academic Achievements

Young Researcher Award

Asli Altunbas
Bahcesehir University School of Medicine, Türkiye

Asli Altunbas
Affiliation Bahcesehir University School of Medicine
Country Türkiye
Scopus ID 59476326700
Documents 3
Citations 1
h-index 1
Subject Area Medicine and Dentistry
Event International Academic Achievements & Awards

Asli Altunbas is a medical researcher and final-year medical student at Bahçeşehir University School of Medicine in Istanbul, Türkiye. Her academic portfolio demonstrates active engagement in clinical medicine, pathology, oncology, pediatrics, cardiovascular sciences, and translational healthcare research. Through scholarly publications, international observership experiences, and student-led educational initiatives, she has contributed to the development of evidence-based medical knowledge and interdisciplinary clinical learning.[1]

Abstract

This academic profile summarizes the educational background, research activities, scientific publications, leadership roles, and community engagement of Sabire Aslı ALTUNBAŞ. Her work spans pediatric health, oncology, pathology, cardiovascular medicine, and medical education. Through active participation in clinical research and international academic collaborations, she has demonstrated a commitment to advancing healthcare knowledge and promoting evidence-based medicine among future healthcare professionals.[2]

Keywords

Medical Research, Oncology, Pathology, Pediatrics, Cardiology, Clinical Education, Artificial Intelligence in Medicine, Translational Research, Medical Students, Healthcare Innovation.

Introduction

Medical students increasingly contribute to scientific discovery through research participation and interdisciplinary collaboration. Sabire Aslı ALTUNBAŞ represents this emerging generation of clinician-scientists through her involvement in peer-reviewed publications, medical education projects, and clinical observation programs. Her academic journey reflects a strong integration of clinical learning, scientific inquiry, and professional development.[1]

Research Profile

Her research interests encompass oncology, neuropathology, pediatric health, inflammatory biomarkers, cardiovascular medicine, and artificial intelligence applications in healthcare. She has participated in retrospective clinical studies, pathology investigations, and comparative analyses involving AI-assisted clinical interpretation. These activities demonstrate an interdisciplinary approach to addressing contemporary healthcare challenges.[3]

Research Contributions

  • Co-authored studies investigating pediatric inflammatory biomarkers and body mass index associations.
  • Contributed to pathology research on primary central nervous system lymphomas.
  • Participated in studies exploring recurrence predictors in granulosa cell tumors.
  • Engaged in research comparing human expertise and artificial intelligence in neonatal intensive care decision support.
  • Supported policy-oriented healthcare initiatives concerning refugee health systems.

Publications

  • Association Between Body Mass Index Categories and Hemogram-Derived Ratios and Inflammatory Indices in Children Aged 6–9 Years. DOI: 10.12659/MSM.952004
  • Primary Central Nervous System Lymphomas and Immune-Privileged Site Lymphomas. DOI: 10.4103/ijpm.ijpm_401_24
  • Predicting Recurrence in Adult Granulosa Cell Tumors: The Role of KI67, p53 and TERT Mutations.
  • Time is Brain: Early Diagnosis of Post-Transplant Lymphoproliferative Disorder Presenting as Primary CNS Diffuse Large B-Cell Lymphoma (Under Review).

Research Impact

Beyond publications, Altunbaş has expanded her academic experience through observerships at Mayo Clinic in heart failure, transplantation medicine, and radiology. She has also established peer-learning initiatives that support practical clinical skills training among pre-clinical medical students. These contributions highlight her commitment to research dissemination, mentorship, and healthcare education.[4]

Award Suitability

Based on her academic achievements, publication record, leadership initiatives, and international clinical exposure, Sabire Aslı ALTUNBAŞ demonstrates characteristics associated with emerging excellence in medical research. Her multidisciplinary engagement and commitment to scientific inquiry make her a suitable candidate for recognition within early-career and student researcher award categories.[2]

Conclusion

Sabire Aslı ALTUNBAŞ has developed a promising academic profile characterized by research productivity, clinical engagement, educational leadership, and community service. Her ongoing contributions to medicine and healthcare research illustrate a strong foundation for future scientific and clinical accomplishments.

References

  1. Bahçeşehir University School of Medicine. Academic and professional profile of Sabire Aslı ALTUNBAŞ.
  2. Altunbaş, S.A. Research activities, leadership initiatives, and academic achievements compiled from curriculum vitae records.
  3. Association Between Body Mass Index Categories and Hemogram-Derived Ratios and Inflammatory Indices in Children Aged 6–9 Years.https://doi.org/10.12659/MSM.952004
  4. Indian Journal of Pathology and Microbiology. Primary Central Nervous System Lymphomas.https://doi.org/10.4103/ijpm.ijpm_401_24

Yang Jilong | Medicine and Dentistry | Innovative Research Award

Published on by Academic Achievements

Innovative Research Award

Yang Jilong
Affiliation Tianjin Medical University Cancer Hospital
Country China
Scopus ID 12788119200
Documents 119
Citations 2701
h-index 28
Subject Area Medicine and Dentistry
Event International Academic Achievements & Awards

Yang Jilong
Tianjin Medical University Cancer Hospital,China

Yang Jilong is a Chinese oncology researcher, clinician-scientist, and academic leader specializing in bone and soft tissue oncology, melanoma, sarcoma biology, and translational precision medicine. He currently serves as Professor, Chief Physician, and Deputy Director of the Department of Bone and Soft Tissue Oncology at Tianjin Medical University Cancer Institute & Hospital. His scholarly contributions encompass molecular oncology, immunotherapy, targeted therapy, biomarker discovery, and clinical translational research, particularly in osteosarcoma, melanoma, and soft tissue sarcomas.[1]

Abstract

Yang Jilong has established a distinguished academic and clinical career in the field of oncology, with particular emphasis on sarcoma precision medicine, melanoma immunotherapy, molecular pathology, and translational cancer research. His contributions include the identification of molecular biomarkers, development of targeted therapeutic approaches, advancement of immunotherapy strategies, and integration of genomic technologies into cancer diagnosis and treatment. Through extensive clinical investigations and interdisciplinary collaborations, his work has contributed to improving precision oncology frameworks and individualized therapeutic interventions for bone and soft tissue malignancies.[2]

Keywords

Sarcoma; Melanoma; Precision Oncology; Osteosarcoma; Immunotherapy; Molecular Oncology; Bone Tumors; Soft Tissue Oncology; Translational Medicine; Tumor Microenvironment; Biomarkers; Cancer Genomics; Clinical Oncology; Personalized Medicine.

Introduction

The advancement of precision oncology has transformed the management of aggressive malignancies such as sarcomas and melanomas. Professor Yang Jilong has contributed extensively to this evolving field through translational research integrating genomics, immunology, and clinical oncology. His investigations have focused on the molecular characterization of bone and soft tissue tumors, identification of therapeutic biomarkers, and exploration of innovative immunotherapeutic strategies for refractory malignancies.[3]

Research Profile

Yang Jilong is a distinguished oncology specialist and translational cancer researcher at Tianjin Medical University Cancer Institute & Hospital. His expertise focuses on sarcoma biology, melanoma immunotherapy, precision oncology, molecular diagnostics, and innovative therapeutic strategies integrating genomics, immunology, and personalized treatment approaches for musculoskeletal malignancies.[5]

Research Contributions

Professor Yang Jilong has contributed significantly to sarcoma precision medicine, melanoma immunotherapy, molecular oncology, targeted therapeutics, and translational cancer research through innovative clinical studies, biomarker discovery, genomic investigations, and multidisciplinary treatment strategies improving oncology outcomes.

Publications

Yang has authored and co-authored more than seventy peer-reviewed scientific publications in internationally recognized journals including Advanced Science, Nature Communications, Genome Biology, Cancer Biology & Medicine, Frontiers in Oncology, and Cancer Letters. His research output reflects sustained contributions to translational oncology and precision cancer medicine.[2]

  • Genome-Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma. Advanced Science, 2026.
  • A single-cell analysis reveals tumor heterogeneity and immune environment of acral melanoma. Nature Communications, 2022.
  • IGFBP2 regulates PD-L1 expression by activating the EGFR-STAT3 signaling pathway in malignant melanoma. Cancer Letters, 2020.
  • Mesenchymal to epithelial transition in sarcomas. European Journal of Cancer, 2014.
  • Genetic amplification of VEGFA pathway genes in osteosarcoma. Cancer, 2011.

Research Impact

The research contributions of Yang have influenced both clinical oncology practice and translational cancer research. His work on tumor immunology, tertiary lymphoid structures, and molecular oncology has supported the advancement of precision immunotherapy approaches for melanoma and sarcoma patients. Several of his studies have contributed to the identification of biomarkers associated with treatment response, disease progression, and therapeutic resistance.[3]

Award Suitability

Yang Jilong’s distinguished achievements in sarcoma precision oncology, translational melanoma research, immunotherapy innovation, molecular oncology, and multidisciplinary clinical leadership demonstrate exceptional scientific excellence. His internationally recognized publications, funded projects, academic leadership, and impactful translational contributions strongly support his candidacy for this prestigious award.

Concluion

Yang Jilong has established an influential academic and clinical career through pioneering sarcoma research, innovative translational oncology contributions, multidisciplinary leadership, and internationally recognized publications that continue advancing precision cancer diagnosis, treatment, and patient care.

References

  1. Tianjin Medical University Cancer Institute & Hospital. (2026). Professional profile of Professor Yang Jilong.
  2. Wang Z, Liu H, Wang X, et al. (2026). Genome-Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma. Advanced Science.
    https://doi.org/10.1002/advs.202515158
  3. Zhang C, Shen H, Yang T, et al. (2022). A single-cell analysis reveals tumor heterogeneity and immune environment of acral melanoma. Nature Communications.
    https://www.nature.com/articles/s41467-022-34937-1
  4. Li T, Zhang C, Zhao G, et al. (2020). IGFBP2 regulates PD-L1 expression by activating the EGFR-STAT3 signaling pathway in malignant melanoma. Cancer Letters.
    https://doi.org/10.1016/j.canlet.2020.01.015
  5. Yang J, Yang D, Sun Y, et al. (2011). Genetic amplification of the vascular endothelial growth factor pathway genes in human osteosarcoma. Cancer.
    https://doi.org/10.1002/cncr.26121

Julien Delaunay | Healthcare | Best Researcher Award

Published on by Academic Achievements

Dr. Julien Delaunay | Healthcare | Best Researcher Award

Dr. Julien Delaunay | Healthcare -Researcher in AI at Top Health Tech, Spain

Delaunay Julien is an accomplished researcher in the field of computer science, particularly known for his contributions to artificial intelligence (AI) and explainable machine learning models. His academic and professional journey spans multiple prestigious institutions across Europe and Canada. With a keen interest in making complex AI systems more interpretable, Julien has established himself as an expert in developing techniques that aim to enhance the transparency and trustworthiness of AI models, especially in natural language processing (NLP). His expertise is recognized globally through his publications, conference talks, and contributions to peer-reviewed journals. As an advocate for responsible AI, Julien actively engages in teaching, mentoring, and collaborative projects that bridge the gap between AI research and real-world applications. His passion for the field, combined with a commitment to advancing the next generation of AI researchers, makes him a leading figure in his area of study.

Profile:

Orcid

Education:


Julien’s academic background reflects his dedication to mastering and advancing the field of computer science. He completed his Ph.D. in Computer Science from Inria and Rennes 1 University in France (2020–2023), with guidance from renowned advisors in the field. His research during this time focused on AI explainability, particularly the development of novel counterfactual explanation techniques. Prior to his Ph.D., Julien completed both his Master’s in Computer Science at Rennes 1 University and Sherbrooke University in Canada, where he specialized in artificial intelligence, data mining, and parallel programming. His undergraduate education at Rennes 1 University further solidified his foundation in object-oriented programming and web technologies. Through this extensive educational journey, Julien has developed a robust understanding of both the theoretical and practical aspects of computer science, making him an expert in machine learning and its interpretability.

Experience:


Julien has accumulated a wealth of professional experience in both academic and research settings, with key roles at prestigious institutions across Europe. His most recent position is as a researcher in computer science at the Top Doctors Group in Barcelona, Spain (2024–Present), where he continues his work on AI explainability. Prior to this, he held various academic positions, including graduate teaching assistant at Rennes 1 University and Institut Agro in France, and visiting researcher at Aalborg University in Denmark (2022–2023). His professional career began with multiple internships at Inria in Rennes, where he explored the intersection of machine learning and AI transparency. In addition to his academic roles, Julien has been actively involved in mentoring students and has presented at various international conferences, further establishing his reputation as a leader in the field.

Research Interest:


Julien’s research focuses on the development and enhancement of AI explainability techniques, particularly for complex machine learning models in natural language processing. He is passionate about making AI systems more transparent and understandable to both experts and non-experts alike. His work includes the development of novel counterfactual explanation techniques and model-agnostic frameworks that allow users to understand the decision-making processes of AI models better. Julien’s interests extend beyond technical innovations; he is deeply engaged in studying the impact of these explanation techniques on users’ trust and comprehension of AI. This research is crucial for promoting ethical AI and ensuring that AI models can be deployed responsibly in real-world applications. His ongoing work explores the adaptation of explanation methods for different user roles, ensuring that AI systems cater to diverse needs in various domains.

Award:


Delaunay Julien’s work has been recognized globally through various awards and nominations, reflecting the significance and impact of his contributions to AI research. His innovative approaches to explainability and interpretability have positioned him as a leading researcher in his field. His research has not only advanced the academic understanding of AI transparency but also contributed to practical applications, making him a strong candidate for the Best Researcher Award. His ability to develop new frameworks and methods in machine learning, alongside his academic leadership and outreach efforts, makes him an exemplary figure deserving of recognition. Julien’s commitment to improving AI accessibility, as well as his dedication to educating and mentoring future generations of researchers, strengthens his eligibility for prestigious awards in the domain of computer science and AI.

Publication:


Julien has authored and co-authored several notable publications, many of which have been well-received by the AI and machine learning research community. His works are frequently cited, contributing to the growing body of literature on AI transparency and explainability. Here are some of his key publications:

  1. Delaunay J., Galárraga L., Largouët C. (2024). Does It Make Sense to Explain a Black Box With Another Black Box? Journal TAL: Explicabilité des modèles de TAL.
    • This paper compares and categorizes counterfactual explanation techniques for textual data, providing a deeper understanding of different counterfactual approaches.
      📘 Cited by: 25+ articles
  2. Delaunay J., Chaffin A. (2023). “Honey, Tell Me What’s Wrong”, Global Explainability of NLP Models through Cooperative Generation. Workshop on Analyzing and Interpreting Neural Networks for NLP at EMNLP 2023.
    • In this publication, Julien validated a novel global model-agnostic explanation technique for textual data.
      📘 Cited by: 15+ articles
  3. Delaunay J., Galárraga L., Largouët C., Van Berkel N. (2023). Adaptation of AI Explanations to Users’ Roles. Workshop on Human-Centered Explainable AI at CHI 2023.
    • This study explores how AI explanations can be adapted based on different user roles, contributing significantly to user-centered AI design.
      📘 Cited by: 10+ articles
  4. Wester J., Delaunay J., De Jong S., Van Berkel N. (2023). On Moral Manifestations in Large Language Models. Workshop on Moral Agent at CHI 2023.
    • The paper investigates the potential misinterpretation of large language models like ChatGPT as moral agents.
      📘 Cited by: 8+ articles
  5. Delaunay J., Galárraga L., Largouët C. (2022). When Should We Use Linear Explanations? International Conference on Information and Knowledge Management (CIKM).
    • This paper introduces the APE framework, which helps determine when linear explanations best approximate the decision boundaries of complex models.
      📘 Cited by: 12+ articles

Conclusion:


Delaunay Julien’s work exemplifies innovation, leadership, and dedication in the field of computer science, specifically in AI explainability. His research has not only advanced theoretical knowledge but also addressed practical challenges in the deployment of AI systems. Julien’s ability to develop novel techniques that enhance the transparency of complex machine learning models has positioned him as a leading figure in his field. His numerous publications, contributions to major conferences, and mentorship roles highlight his influence in shaping the future of AI. Despite opportunities for growth in terms of broader public engagement and application-driven research, Julien’s contributions make him a highly deserving nominee for the Best Researcher Award. His career trajectory shows immense promise, and he is set to continue influencing the AI research landscape for years to come.

Shreyas Yakkali | Medicine and Dentistry | Best Researcher Award

Published on by Academic Achievements

Mr. Shreyas Yakkali | Medicine and Dentistry | Best Researcher Award

Resident at Jacobi Medical Center – – Bronx, NY, United States

Dr. Shreyas Yakkali is an accomplished medical professional with a robust background in internal medicine and healthcare research. Currently pursuing his Internal Medicine PGY-1 at Jacobi Medical Center/Albert Einstein College of Medicine, he holds an M.B.B.S. (MD Equivalent) from GS Medical College & KEM Hospital, Mumbai. Dr. Yakkali’s career spans extensive international experience, including roles as an Emergency Medical Officer at Fortis Healthcare in India and various clinical observer positions in the United States. His research prowess is evident through multiple collaborations and publications, focusing on clinical trials, observational studies, and literature synthesis. Driven by a commitment to ethical patient care and continuous professional growth, he actively contributes to medical literature and community service initiatives. Dr. Yakkali’s holistic approach combines clinical expertise with rigorous research skills, making him a valuable asset in advancing healthcare practices.

Professional Profiles

Education

Dr. Shreyas Yakkali has pursued a diverse and comprehensive educational journey, beginning with his foundational education at St. Pius X High School. He continued his academic pursuit at Pace Institute of Technology & Sciences for his junior college education, laying the groundwork for his future in medicine. Dr. Yakkali achieved his M.B.B.S. (MD Equivalent) degree from GS Medical College & KEM Hospital in Mumbai in June 2021, marking a significant milestone in his medical training. Currently, he is furthering his specialization through the Internal Medicine PGY-1 residency program at Jacobi Medical Center/Albert Einstein College of Medicine, where he continues to expand his clinical knowledge and expertise. His educational path reflects a commitment to excellence in healthcare and a dedication to continuous learning and professional growth in the medical field.

Professional Experience

Dr. Shreyas Yakkali is an Internal Medicine Resident at Jacobi Medical Center/Albert Einstein College of Medicine, actively engaged in patient care and medical education. With prior experience as an Emergency Medical Officer at Fortis Healthcare in Mumbai, he has demonstrated proficiency in acute care and emergency medicine. His research collaborations at McMaster University and the California Institute of Behavioral Neurosciences have enriched his expertise in behavioral neuroscience and clinical trials. Driven by a passion for advancing medical knowledge, Dr. Yakkali aims to deliver compassionate and evidence-based care, leveraging his diverse experiences to contribute effectively to the healthcare field.

Research Interest

Dr. Shreyas Yakkali’s research interests encompass several facets of internal medicine and clinical research. He is particularly focused on advancing knowledge in acute care medicine, emergency medicine, and behavioral neuroscience. His collaborations at McMaster University and the California Institute of Behavioral Neurosciences have sparked his interest in clinical trials, with a keen emphasis on understanding neurological disorders and their treatment outcomes. Dr. Yakkali is dedicated to exploring innovative approaches in patient care, including the integration of new technologies and therapies. His research endeavors aim to enhance medical practices, improve patient outcomes, and contribute valuable insights to the field of healthcare.

Award and Honors

Dr. Shreyas Yakkali has been recognized for his outstanding achievements and contributions in the field of healthcare and medical research. He was awarded the prestigious Summa honor for publishing high-quality research in the Cureus Journal in 2022. Additionally, he holds certifications in Advanced Cardiovascular Life Support (ACLS) and Basic Life Support (BLS) for Healthcare Providers from the American Heart Association, obtained in 2023. His ECFMG certification in 2021 signifies his proficiency in medical knowledge and clinical skills, essential for practicing medicine internationally. These honors underscore Dr. Yakkali’s dedication to advancing medical education, conducting impactful research, and delivering high standards of patient care throughout his career.

Research Skills

Dr. Shreyas Yakkali possesses a diverse set of research skills that contribute to his proficiency in medical and healthcare research. His expertise includes literature review and synthesis, evidenced by his publications in reputable journals. He is adept at clinical trial methodologies and Good Clinical Practice (GCP), ensuring rigorous ethical standards in research conduct. Dr. Yakkali excels in data analysis and interpretation, employing statistical tools to derive meaningful insights from research data. His ability to design and execute research protocols is complemented by his hands-on experience in observational studies and collaborative research projects across various healthcare settings. Furthermore, his skills extend to manuscript preparation and academic writing, reflecting his commitment to disseminating research findings effectively. Dr. Yakkali’s research skills underscore his role as a dedicated scholar and practitioner contributing to advancements in internal medicine and healthcare practices.

Publications

  1. Adaptation to heat stress: a qualitative study from Eastern India
    • Authors: A.K. Khetan, S. Yakkali, H.H. Dholakia, V. Hejjaji
    • Journal: Environmental Research Letters, 2024
    • Volume: 19(4)
    • Pages: 044035
    • Citations: 0
  2. The burden of premature adult mortality associated with lack of access to electricity in India
    • Authors: V. Hejjaji, D. Barbhaya, A. Rahimian, S. Yakkali, A.K. Khetan
    • Journal: PLoS ONE, 2024
    • Volume: 19(3 March)
    • Pages: e0297463
    • Citations: 0
  3. Precision medicine in Myocardial Infarction With Non-obstructive Coronary Disease (MINOCA): A comprehensive review
    • Authors: L. Fatima, A. Goyal, S. Yakkali, A.H. Sohail, J. Malik
    • Journal: Current Problems in Cardiology, 2024
    • Volume: 49(2)
    • Pages: 102185
    • Citations: 1
  4. The burden of premature mortality from coal-fired power plants in India is high and inequitable
    • Authors: D. Barbhaya, V. Hejjaji, A. Vijayaprakash, A.K. Khetan, A. Muralidharan, S. Yakkali
    • Journal: Environmental Research Letters, 2022
    • Volume: 17(10)
    • Pages: 104022
    • Citations: 2
  5. Reasons for Non-Referral for Autologous Stem Cell Transplantation in Central Nervous System Lymphoma (CNSL) Patients in a Minority-Rich, Multiracial, and Underprivileged Population at Montefiore Medical Center, Albert Einstein College of Medicine
    • Authors: H. Narvel, S. Yakkali, A.-H. Bazarbachi, I. Braunschweig, R.A. Sica
    • Journal: Clinical Lymphoma, Myeloma and Leukemia, 2022
    • Volume: 22
    • Pages: S362
    • Citations: 0
  6. Do Certain Biomarkers Predict Adverse Outcomes in Coronavirus Disease 2019?
    • Authors: H. Narvel, A. Sayed, N. Narvel, S. Yakkali, T. Katchi
    • Journal: Journal of Clinical Medicine Research, 2021
    • Volume: 13(4)
    • Pages: 195–203
    • Citations: 2