Laiba Husain | AI in Healthcare | Best Researcher Award

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Dr. Laiba Husain | AI in Healthcare | Best Researcher Award

Early Impact Scholar at University of Texas Southwestern Medical Center | United States

Dr. Laiba Husain is a distinguished public health researcher specializing in translational health sciences and primary care. Her academic journey reflects an exceptional commitment to advancing healthcare equity, particularly in digital health and marginalized communities. Currently serving as an Early Impact Scholar at the Peter O’Donnell School of Public Health, UT Southwestern Medical Center, she integrates multidisciplinary approaches to address pressing healthcare challenges. Her expertise spans qualitative and mixed-methods research, stakeholder engagement, and health policy development. Through impactful collaborations across leading institutions, Dr. Husain has contributed to groundbreaking studies that influence both clinical practice and healthcare delivery worldwide.

Profile:

Scopus | Orcid

Education:

Dr. Husain’s academic foundation began with a Bachelor of Science in Biopsychology, Cognition, and Neuroscience from the University of Michigan , where she was recognized as a James B. Angell Scholar. As a Fulbright Scholar, she earned her Master of Public Health from the University of Birmingham, gaining international perspectives on health systems. she completed her Doctor of Philosophy in Translational Health Sciences at the University of Oxford under Dr. Trish Greenhalgh’s supervision. Her doctoral work focused on health disparities in digital care delivery, merging rigorous methodology with real-world application to inform evidence-based interventions.

Experience:

Dr. Husain’s career includes progressive roles at globally renowned institutions. she was a Research Associate at the University of Oxford, contributing to EU-wide healthcare initiatives.  she worked as a Research Analyst in the Nuffield Department of Primary Care Health Sciences, enhancing methodological rigor across diverse projects. Concurrently, she served as a consultant with The Healthcare Improvement Studies Institute at the University of Cambridge, advising on healthcare improvement strategies. she has advanced public health research at UT Southwestern, with a focus on tele-oncology and regional healthcare partnerships.

Research Interests:

Dr. Husain’s research interests converge on healthcare equity, digital health disparities, and patient-centered care. She investigates how intersecting disadvantages such as socioeconomic status, language barriers, and age affect access to digital healthcare solutions. Her work employs qualitative and mixed-methods approaches to capture nuanced patient experiences and inform inclusive policy frameworks. She is particularly engaged in developing practical tools, such as user personas, to address barriers in digital consultations for marginalized populations. Additionally, her studies explore the integration of telehealth in primary care and public health, aiming to improve system responsiveness, accessibility, and cultural competence in healthcare delivery.

Awards and Honors:

Dr. Husain’s contributions have been recognized through numerous honors. These include the James B. Angell Scholar Award  for academic excellence, the prestigious Fulbright Scholar Award and the Dean’s University Scholar Award from Oxford . She received a Doctoral Fellowship Award from The Health Improvements Studies Institute  and  honored in the International Women of Impact Portrait Series at Green Templeton College. Most recently, she earned the Nuffield Departmental Award for Outstanding Doctoral Dissertation, highlighting her innovative contributions to translational health sciences and the field’s understanding of digital health disparities.

Publications:

Title: Management of post-acute covid-19 in primary care

Citation: 102

year of Publications: 2020

Title:  Long Covid – the illness narratives

Citation: 65

year of Publications: 2021

Title: I can’t cope with multiple inputs a qualitative study of the lived experience of brain fog after COVID-19

Citation: 45

year of Publications: 2022

Title: Desperately seeking intersectionality in digital health disparity research: narrative review to inform a richer theorization of multiple disadvantage

Citation: 30

year of Publications: 2022

Title: Safety implications of remote assessments for suspected COVID-19 qualitative study in UK primary care

Citation: 20

year of Publications: 2023

Title: Developing user personas to capture intersecting dimensions of disadvantage in older patients who are marginalised: a qualitative studyprimary care

Citation: 12

year of Publications: 2024

Title: Examining Intersectionality and Barriers to the Uptake of Video Consultations Among Older Adults From Disadvantaged Backgrounds With Limited English Proficiency: Qualitative Narrative Interview Study

Citation: 1

year of Publications: 2025

Conclusion:

Dr. Laiba Husain exemplifies the synthesis of academic excellence, research innovation, and real-world healthcare impact. Her interdisciplinary approach bridges gaps between patient experiences, digital health innovation, and public health policy. By fostering collaborations among clinicians, policymakers, and community stakeholders, she has advanced evidence-based solutions addressing complex health inequalities. Her scholarly work not only deepens theoretical understanding but also delivers tangible benefits to underserved populations. With a trajectory marked by high-impact research, leadership in healthcare initiatives, and dedication to mentorship, Dr. Husain stands as an influential figure driving the future of equitable and effective healthcare delivery.

Yuming Jiang | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Yuming Jiang | AI in Healthcare | Best Researcher Award

Assistant Professor of Radiation Oncology at Wake Forest University School of Medicine, United States

Dr. Yuming Jiang, MD, PhD, is an Assistant Professor in the Department of Radiation Oncology at Wake Forest University School of Medicine, North Carolina, USA. His research and clinical expertise focus on the integration of artificial intelligence and digital pathology to improve cancer prognosis and treatment strategies. With a strong background in oncology and computational medicine, Dr. Jiang has made significant contributions to the understanding of tumor microenvironments and the application of deep learning in radiomics.

Profile

Google Scholar

Education

Dr. Jiang obtained his MD and PhD degrees from prestigious institutions, demonstrating a commitment to both clinical practice and scientific research. He completed his PhD in oncology at a leading university in China, followed by a postdoctoral fellowship at Stanford University from 2018 to 2023. In August 2023, he joined Wake Forest University School of Medicine as an Assistant Professor, where he continues to advance the field of radiation oncology through innovative research and patient-centered care.

Experience

Dr. Jiang has a diverse professional background that spans clinical medicine, academic research, and technological innovation. Before joining Wake Forest University, he worked as a Postdoctoral Research Fellow at Stanford University, where he contributed to groundbreaking studies on digital pathology, cancer immunotherapy, and noninvasive imaging techniques. His expertise in artificial intelligence and machine learning has enabled him to develop predictive models for cancer prognosis, treatment response, and survival outcomes.

Research Interests

Dr. Jiang’s research is centered on the intersection of oncology and artificial intelligence. His key interests include deep learning-based radiomics, tumor microenvironment analysis, and predictive modeling for personalized cancer treatment. He aims to harness computational tools to enhance diagnostic accuracy and therapeutic decision-making in radiation oncology. His work has had a profound impact on the understanding of tumor biology and has paved the way for more effective, individualized treatment strategies.

Awards

Dr. Jiang has been recognized for his contributions to oncology and medical research with several prestigious awards. His research has received accolades from leading medical societies and journals, highlighting his role in advancing cancer diagnostics and treatment methodologies. His innovative work in AI-driven oncology has earned him invitations to speak at international conferences and collaborate with esteemed institutions worldwide.

Publications

Jiang Y, Zhang Z, Wang W, Huang W, et al. “Biology-guided deep learning predicts prognosis and cancer immunotherapy response.” Nature Communications, 2023; 14: 5135. (Cited by 16.6)

Jiang Y, Zhou K, Sun Z, Wang H, et al. “Non-invasive tumor microenvironment evaluation using deep learning radiomics.” Cell Reports Medicine, 2023; 4:101146. (Cited by 14.3)

Jiang Y, Zhang Z, Yuan Q, Wang W, et al. “Predicting peritoneal recurrence from CT images using multi-task deep learning.” Lancet Digital Health, 2022; 4(5): e340-e350. (Cited by 36.6)

Jiang Y, Li R, Li G. “Artificial intelligence for clinical oncology: current status and future outlook.” Science Bulletin, 2023; (23): 00113-5. (Cited by 18.9)

Jiang Y, Liang X, Wang W, Chen C, et al. “Radiographical assessment of tumor stroma and treatment outcomes using deep learning.” Lancet Digital Health, 2021; 3(6): e371-e382. (Cited by 36.6)

Jiang Y, Jin C, Yu H, Wu J, et al. “Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer.” Annals of Surgery, 2021; 274(6): e1153-e1161. (Cited by 13.8)

Jiang Y, Wang H, Wu J, Chen C, et al. “Noninvasive imaging evaluation of tumor immune microenvironment in gastric cancer.” Annals of Oncology, 2020; 31(6): 760-768. (Cited by 32.9)

Conclusion

Dr. Yuming Jiang is at the forefront of integrating artificial intelligence into oncology, bringing innovative solutions to cancer diagnosis and treatment. His expertise in deep learning, radiomics, and tumor microenvironment studies has significantly advanced the field of radiation oncology. With a strong research background and a commitment to improving patient outcomes, Dr. Jiang continues to contribute to the medical community through his pioneering work in AI-driven cancer diagnostics and therapy.

Peng YU | AI in Healthcare | Best Researcher Award

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Mr. Peng YU | AI in Healthcare | Best Researcher Award

Associate Senior Doctor at The Second Affiliated Hospital of Nanchang University, China

Dr. Peng Yu is an Associate Senior Doctor in the Department of Endocrinology & Metabolism at The Second Affiliated Hospital of Nanchang University. With a strong background in medicine and extensive experience in both clinical and academic settings, he has made significant contributions to the study of endocrinology, metabolism, and cardiovascular diseases. His research spans various areas, including diabetes, cardiovascular health, and molecular mechanisms of metabolic disorders. In addition to his role as a clinician, he is an active researcher, reviewer for several prestigious international journals, and a recipient of multiple awards recognizing his contributions to medical science.

Profile

Scopus

Education

Dr. Yu earned his Ph.D. in Medicine from Nanchang University in 2017 and previously obtained a Master’s degree in Medicine from Nanjing Medical University in 2014. His academic journey has provided him with in-depth expertise in internal medicine, cardiology, and metabolic disorders. Furthering his research career, he completed a fellowship at Massachusetts General Hospital, Harvard Medical School, focusing on cutting-edge research in CCP medicine. His multidisciplinary education has allowed him to integrate clinical expertise with molecular and cellular research, contributing to advancements in the field of endocrinology and metabolism.

Experience

Dr. Yu has held various roles in the medical field, beginning as a Resident Doctor at The Second Affiliated Hospital of Nanchang University from 2017 to 2019. He was later promoted to Attending Doctor, serving from 2019 to 2021. Since 2021, he has been an Associate Senior Doctor at the same institution, where he continues to provide expert medical care, mentor students, and engage in research activities. His collaborations with prominent researchers, including those at Harvard Medical School and Jilin University, have enriched his expertise and research output. His involvement in over 60 research projects, including several funded by the National Natural Science Foundation of China, highlights his leadership in medical research.

Research Interests

Dr. Yu’s research primarily focuses on endocrinology and metabolism, with particular emphasis on diabetes, cardiovascular diseases, and the molecular mechanisms underlying metabolic disorders. His expertise extends to mitochondrial function, oxidative stress, and the role of programmed cell death in disease progression. Utilizing various research methodologies, including confocal microscopy, Seahorse metabolic analysis, and in vivo disease modeling, he has contributed to the understanding of metabolic disorders at both cellular and systemic levels. His work also explores novel therapeutic targets for diabetic cardiomyopathy and myocardial ischemia-reperfusion injury, positioning him at the forefront of translational medicine in this domain.

Awards

Dr. Yu has been recognized for his contributions to medical research with multiple awards, including:

  • Jiangxi Provincial Science and Technology Progress Third Prize (2019)
  • The Third Prize of Medical Science and Technology of Jiangsu Province (2019, 2023)
  • Young Innovative Talent Award, The Second Affiliated Hospital of Nanchang University (2023)

His achievements underscore his commitment to advancing medical knowledge and improving clinical outcomes in endocrinology and metabolism.

Publications

Dr. Yu has published extensively, with over 150 academic papers, including more than 100 SCI-indexed publications. His recent notable works include:

Yu P et al. “Comprehensive exploration of programmed cell death landscape in lung adenocarcinoma combining multi-omic analysis and experimental verification.” Sci Rep. 2025; 15(1):5364.

Yu P et al. “Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study.” JMIR Med Educ. 2024; 10:e48514.

Zhao H, Li X, Yu P et al. “Association between weight loss and outcomes in patients undergoing atrial fibrillation ablation: A systematic review and meta-analysis.” Nutr Metab (Lond). 2023; 20(1):5.

Yu P et al. “Obesity and clinical outcomes in COVID-19 patients without comorbidities.” Front Endocrinol. 2022; 13:936976.

Yu P et al. “Dexmedetomidine post-conditioning alleviates myocardial ischemia-reperfusion injury in rats by ferroptosis inhibition via SLC7A11/GPX4 axis activation.” Hum Cell. 2022; 35(3):836-848.

Peng Y et al. “The Association of Serum IL-10 Levels with the Disease Activity in Systemic-Onset Juvenile Idiopathic Arthritis Patients.” Mediators Inflamm. 2021; 2021:6650928.

Conclusion

Dr. Peng Yu is a distinguished clinician and researcher specializing in endocrinology and metabolism. His contributions to the field through extensive research, innovative approaches to disease treatment, and active mentorship have positioned him as a leading expert in his domain. With numerous research grants, impactful publications, and prestigious awards, he continues to drive advancements in medical science. His work not only enhances the understanding of metabolic disorders but also informs the development of novel therapeutic strategies, ensuring better patient outcomes in the future.