Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Associate Professor | Future University in Egypt | Egypt

Assist. Prof. Dr. Neven Saleh is a highly motivated and detail-oriented researcher with extensive experience in biomedical engineering, machine learning, deep learning for disease diagnosis, healthcare technology, hospital design, and assistive communication systems. She holds a Ph.D. in Biomedical Engineering from Politecnico di Torino and a master’s and bachelor’s degree in biomedical and electronics engineering from Egyptian universities. She has served as an associate professor at multiple institutions, supervised numerous Ph.D. and M.Sc. students, and contributed to international research collaborations across Italy, Egypt, and the USA. Her research interests focus on AI-driven diagnostic systems for retinal and neurological disorders, cancer detection using image processing, healthcare technology assessment, hospital workflow optimization, and assistive technologies for patients with disabilities. She has received multiple awards and honors for her innovative projects, teaching excellence, and scientific contributions, including national competitions, best thesis awards, and international conference recognitions. She possesses strong research skills in machine learning, deep learning, computer vision, biomedical signal processing, medical instrumentation, and healthcare technology management. She is a member of professional organizations such as TWAS-OWSD and IFMBE and has completed advanced certifications in machine learning, clinical engineering, and healthcare quality management. Her research impact is reflected in 277 citations by 204 documents, 41 publications, and an h-index of 9.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Saleh, N., Sharawi, A. A., Abd Elwahed, M., Petti, A., Puppato, D., & Balestra, G. (2014). Preventive maintenance prioritization index of medical equipment using quality function deployment. IEEE Journal of Biomedical and Health Informatics, 19(3), 1029–1035.

  2. Saleh, N., Abdel Wahed, M., & Salaheldin, A. M. (2022). Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images. International Journal of Imaging Systems and Technology, 32(3), 740–752.

  3. Saleh, N., Farghaly, M., Elshaaer, E., & Mousa, A. (2020). Smart glove-based gestures recognition system for Arabic sign language. In 2020 International Conference on Innovative Trends in Communication and … (pp. 37–…).

  4. Saleh, N., Hassan, M. A., & Salaheldin, A. M. (2024). Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making. Scientific Reports, 14(1), 17323.

  5. Salaheldin, A. M., Abdel Wahed, M., Talaat, M., & Saleh, N. (2024). Deep learning‐based automated detection and grading of papilledema from OCT images: A promising approach for improved clinical diagnosis and management. International Journal of Imaging Systems and Technology, 34(4), e23133.

Dimitrios Theodoropoulos | Deep Learning | Best Researcher Award

Published on by Computer Vision Awards

Mr. Dimitrios Theodoropoulos | Deep Learning | Best Researcher Award

University of Crete Medical School | Greece

Dimitrios Theodoropoulos is a researcher and AI specialist in medical imaging with expertise in machine learning, deep learning, computer vision, and artificial intelligence applications in healthcare, particularly in radiology and diabetic retinopathy analysis. He is currently pursuing a PhD in Artificial Intelligence in Medical Imaging at the University of Crete, Medical School, building on a master’s degree in computer engineering from Hellenic Mediterranean University and a bachelor’s degree in physics with specialization in microelectronics from the University of Crete, complemented by training as a radiology assistant. Alongside his academic path, he has worked extensively as a radiographer in MRI, CT, X-ray, mammography, DEXA, and EEG imaging, effectively integrating research with clinical practice. He has served as a visiting research fellow at FORTH-CBML and collaborated with institutions such as the Athens Neurotraining Center and Alexandra Hospital, bridging advanced AI research with healthcare innovation. His research focuses on the development of machine learning and deep learning algorithms for classification, segmentation, and detection tasks in medical imaging, with emphasis on diabetic retinopathy, intensive care monitoring, and noninvasive intracranial pressure assessment, while also extending to areas such as pollen analysis. He has published widely in Scopus-indexed journals and conferences, presented at international congresses and academic symposiums, and delivered guest lectures at the National and Kapodistrian University of Athens. Proficient in Python, MATLAB, TensorFlow, PyTorch, Scikit-learn, Linux, and Docker, he has advanced expertise in data preprocessing, model optimization, and AI-driven biomedical solutions. With certifications in Python programming, machine learning, and deep learning, combined with memberships in the Hellenic Artificial Intelligence Society and the Union of Greek Physicists, he demonstrates a rare integration of technical, clinical, and analytical skills, enabling him to advance scientific progress while contributing to patient-centered healthcare innovation.

Profile: Google Scholar | Scopus Profile

Featured Publications

Tsiknakis N., Theodoropoulos D., Manikis G., Ktistakis E., Boutsora O., et al., Deep learning for diabetic retinopathy detection and classification based on fundus images: A review, Comput. Biol. Med., 135, 104599.

Chatziadam P., Dimitriadis A., Gikas S., Logothetis I., Michalodimitrakis M., Theodoropoulos D., et al., TwiFly: A data analysis framework for Twitter, Information, 11(5), 247.

Theodoropoulos D., Karabetsos D.A., Antonios V., Efrosini P., Karantanas A., et al., The current status of noninvasive intracranial pressure monitoring: A literature review, Clin. Neurol. Neurosurg., 108209.

Theodoropoulos D., Sifakis N., Manikis G., Papadourakis G., Armyras K., et al., Semantic segmentation of diabetic retinopathy lesions using deep learning, SN Comput. Sci., 6(7), 782.

Theodoropoulos D., Trivizakis E., Marias K., Xirouchaki N., Vakis A., et al., Predicting intracranial pressure levels: A deep learning approach using computed tomography brain scans, Neurosurgery, 10.1227.

Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Dr . Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

Postdoc at University of the Witwatersrand, Johannesburg, South Africa

Dr. Arsène Jaures Ouemba Tasse is a dynamic Postdoctoral Research Fellow at the University of the Witwatersrand, South Africa, with a specialized focus in applied dynamical systems and mathematical modeling of infectious diseases. He holds a Ph.D. in Mathematics from the University of Dschang, Cameroon, and has published extensively in high-impact journals on topics including Ebola, COVID-19, Typhoid, and Monkeypox. His research contributions have global significance, particularly in understanding disease transmission dynamics and control strategies. Dr. Ouemba Tasse has participated in numerous international conferences, received prestigious research grants, and supervised both undergraduate and postgraduate students. He is also an active reviewer for several scientific journals and has contributed to collaborative projects funded by renowned institutions like the Bill & Melinda Gates Foundation. His growing leadership in academic events, combined with his commitment to public health through mathematics, positions him as a highly influential figure in the field of mathematical epidemiology.

Professional Profile 

Education🎓 

Dr. Arsène Jaures Ouemba Tasse has a strong academic foundation in mathematics, beginning with a Bachelor’s degree from the University of Yaoundé I in 2009. He pursued his Honours and Master’s degrees in Mathematics at the University of Dschang, Cameroon, where he graduated with distinction. His academic journey culminated in earning a Ph.D. in Applied Dynamical Systems and Mathematical Modeling from the same institution in 2021. His doctoral studies equipped him with advanced knowledge in differential equations, epidemiological modeling, partial differential equations, and numerical analysis. Additionally, he obtained a Secondary and High School Teacher’s Diploma in Mathematics from the Higher Teacher’s Training College of Yaoundé in 2008, highlighting his early commitment to education. To enhance his international research engagement, he completed an English language course at the University of the Witwatersrand in 2023. His academic pathway reflects both depth and breadth in mathematical sciences, with a strong emphasis on applied research for real-world impact.

Professional Experience📝

Dr. Ouemba Tasse brings over 15 years of professional experience in teaching, research, and academic mentorship. Since November 2022, he has served as a Postdoctoral Research Fellow at the University of the Witwatersrand, Johannesburg, where he engages in cutting-edge research, student supervision, and academic event organization. Before this, he spent over a decade teaching mathematics in various high schools in Cameroon, including the General High School Tsela and the General Bilingual High School Bameka. His university-level experience includes lecturing and tutoring in courses such as algebra, calculus, mathematical modeling, and discrete population dynamics. He has participated in academic panels, supervised postgraduate research groups, and served as an external examiner. His professional journey reflects a seamless transition from secondary education to advanced research, demonstrating versatility, leadership, and commitment to educational excellence in both national and international academic environments.

Research Interest🔎

Dr. Ouemba Tasse’s research interests are centered around mathematical epidemiology, applied dynamical systems, and optimal control theory, particularly in the context of infectious disease modeling. He focuses on developing and analyzing mathematical models that simulate the transmission dynamics of diseases such as Ebola, COVID-19, Typhoid, Malaria, Monkeypox, and HIV. His models incorporate various control strategies including awareness programs, vaccination, isolation, and traditional versus modern treatment methods. He also works on the mathematical formulation and numerical solutions using nonstandard finite difference schemes that ensure stability and accuracy in epidemic simulations. His recent projects explore the co-dynamics of multiple infections and the role of environmental and behavioral factors in disease propagation. Additionally, he is interested in the intersection of public health and mathematics, including modeling cancer progression and mother-to-child HIV transmission. His interdisciplinary approach bridges mathematical theory and health policy, offering vital insights for effective disease control and healthcare intervention strategies.

Award and Honor🏆

Dr. Ouemba Tasse has received numerous accolades and support from prestigious institutions for his impactful research in mathematical modeling. He was awarded a Postdoctoral Fellowship by the University of the Witwatersrand, along with funding from the Bill & Melinda Gates Foundation for a cervical cancer modeling project. He received full sponsorships from the Simons Foundation and the Pacific Institute of Mathematical Sciences to attend international conferences and research schools in Canada and the USA. He won first prize in Analysis at a postgraduate workshop in Cameroon and was a recipient of the Humboldt Foundation’s funding during the Dschang Humboldt Kolleg. His academic excellence has been further recognized through grant awards from the Society for Mathematical Biology and participation in global conferences like BIOMATH and CIMPA. These honors not only acknowledge his research excellence but also reflect his growing reputation as a leading contributor to mathematical modeling in epidemiology and public health.

Research Skill🔬

Dr. Ouemba Tasse possesses advanced research skills in both theoretical and computational aspects of applied mathematics. He is proficient in developing deterministic and stochastic models of infectious diseases, applying optimal control techniques, and performing stability analysis of equilibrium states. His expertise in nonstandard finite difference schemes enhances the accuracy and robustness of numerical simulations. He is well-versed in software tools such as MATLAB, MATHEMATICA, R, and LaTeX, which he uses extensively for simulations, data analysis, and scientific writing. His research includes data fitting and parameter estimation, and he has applied these techniques in real-world epidemiological studies. He also has strong collaborative skills, having led and co-supervised numerous multidisciplinary projects and study groups. Additionally, he contributes as a peer reviewer for reputed journals and book chapters, showcasing his analytical precision and subject-matter authority. These combined skills make him an adept and resourceful researcher capable of addressing complex public health challenges through mathematics.

Conclusion💡

Dr. Arsène Jaures Ouemba Tasse is a highly promising and competitive candidate for the Best Researcher Award, especially in fields involving epidemiological modeling, applied mathematics, and computational public health. His international exposure, robust publication record, academic mentoring, and societal relevance of his research make him exceptionally well-qualified for this honor.

While still in an early career stage, his trajectory shows exemplary leadership potential and deep scholarly contributions. With minor improvements such as increasing PI roles and broader interdisciplinary outreach, he would not only be eligible but also a standout award recipient.

Publications Top Noted✍

  1. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease
    Authors: T. Berge, A.J. Ouemba Tassé, H.M. Tenkam, J. Lubuma
    Year: 2018
    Citations: 34

  2. Title: Dynamics of host-reservoir transmission of Ebola with spillover potential to humans
    Authors: B. Tsanou, J.M.S. Lubuma, A.J.O. Tassé, H.M. Tenkam
    Year: 2018
    Citations: 22

  3. Title: Ebola virus disease dynamics with some preventive measures: a case study of the 2018–2020 Kivu outbreak
    Authors: A.J. Ouemba Tasse, B. Tsanou, J. Lubuma, J.L. Woukeng, F. Signing
    Year: 2022
    Citations: 6

  4. Title: Nonstandard finite difference schemes for some epidemic optimal control problems
    Authors: A.J.O. Tassé, V.B. Kubalasa, B. Tsanou
    Year: 2025
    Citations: 2

  5. Title: A metapopulation model with exit screening measure for the 2014–2016 West Africa Ebola virus outbreak
    Authors: A.J.O. Tassé, B. Tsanou, J.L. Woukeng, J.M.S. Lubuma
    Year: 2024
    Citations: 1

  6. Title: A mathematical model to study herbal and modern treatments against COVID-19
    Authors: A.J. Ouemba Tassé, B. Tsanou, C. Kwa Kum, J. Lubuma
    Year: 2024
    Citations: 1

  7. Title: Assessment of effective isolation, safe burial and vaccination optimal controls for an Ebola epidemic model
    Authors: A.J.O. Tassé, B. Tsanou, J.M.S. Lubuma, J.L. Woukeng
    Year: 2020
    Citations: 1

  8. Title: Mathematical modelling of the dynamics of typhoid fever and two modes of treatment in a Health District in Cameroon
    Authors: T.J. Tsafack, C.K. Kum, A.J.O. Tassé, B. Tsanou
    Year: 2025

  9. Title: A mathematical model on the impact of awareness and traditional medicine in the control of Ebola: case study of the 2014–2016 outbreaks in Sierra Leone and Liberia
    Authors: A.J. Ouemba Tassé, B. Tsanou, C.K. Kum, J. Lubuma
    Year: 2024

  10. Title: Influence of the co-dynamics Ebola-COVID-19 in the population
    Authors: A.J.O. Tassé, J. Lubuma, B. Tsanou
    Year: 2023

  11. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study in Rwanda
    Authors: J.M.S. Lubuma, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

  12. Title: Modélisation mathématique de la transmission de la maladie à virus Ebola et stratégies de contrôle
    Authors: A.J.O. Tasse
    Year: 2021

  13. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease (Duplicate entry)
    Authors: B. Tsanou, A.J. Ouemba Tassé, H.M. Tenkam, J.M.S. Lubuma
    Year: 2018

  14. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study of Rwanda (Duplicate entry)
    Authors: M.S.L. Jean, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Assoc. Prof. Dr. Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

National Taiwan University Cancer Center, Taiwan

Author Profiles

Orcid

🎓 Academic and Professional Background

Dr. Ko earned his Medical Degree from NTUCM in 1995 and later completed his PhD in Clinical Medicine from the same institution. He has held prestigious leadership roles, including President of the Taiwan Society of Blood and Marrow Transplantation (2019–2022) and President of the Taiwan Society of Pharmacoeconomics and Outcome Research (2018–2023). He is also a member of the Executive Committee of the Asian-Pacific Blood and Marrow Transplantation (APBMT) Group, and currently presides over the Hematology Society of Taiwan (HST).

🏥 Designation and Institution

Assoc. Prof. Dr. Bor-Sheng Ko serves as the Director of the Department of Hematological Oncology at the National Taiwan University Cancer Center, Taiwan. He also holds dual roles as Director of the Tai-Cheng Cell Therapy Center and Associate Professor at the National Taiwan University College of Medicine (NTUCM).

🌍 Professional Memberships

Dr. Ko is actively engaged in numerous professional societies, including the Taiwan Society of Internal Medicine, Hematology Society of Taiwan, Taiwan Society of Blood and Marrow Transplantation, American Hematology Society, European Hematology Association, Asian-Pacific Bone and Marrow Transplantation Group, International Society of Pharmacoeconomics and Outcome Research, International Society of Cell Therapy, and the European Blood and Marrow Transplantation Group.

🔬 Areas of Research

Dr. Ko’s research spans hematology, hematopoietic stem cell transplantation (HSCT), pharmaco-economics, and the application of machine learning and deep learning in data science for clinical use. His interdisciplinary focus bridges traditional clinical research with cutting-edge computational methods.

📈 Research Contributions

Dr. Ko is a prominent figure in the study of hematopoietic diseases, particularly leukemia, lymphoma, and HSCT. He has recently led projects on medical databank development, big data analysis, and the integration of AI technologies—including machine learning and deep learning algorithms—into healthcare settings. A dedicated academic, Dr. Ko has published extensively in high-impact international journals, significantly advancing research in his fields of expertise.

Notable Publications📝

📝Recommendations for the treatment and management of adult B‐Cell acute lymphoblastic leukemia in Asia‐Pacific: Outcomes from a pilot initiative

Author: Zhentang Lao; Kwong Yok Lam; Yuk Man Carol Cheung; Chieh‐Lin Teng; Vivek Radhakrishnan; Dinesh Bhurani; Bor‐Sheng Ko; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2024

📝Pooled analysis of pralatrexate single-agent studies in patients with relapsed/refractory peripheral T-cell lymphoma

Author: Owen A. O’Connor; Bor-Sheng Ko; Ming-Chung Wang; Dai Maruyama; Yuqin Song; Ee-Min Yeoh; Nick Manamley; Kensei Tobinai

Journal: Blood Advances

Year: 2024

📝Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region

Author: Zhentang Lao; Eric Wai Choi Tse; Suporn Chuncharunee; Yok Lam Kwong; Andrew Wei; Bor Sheng Ko; Jin Seok Kim; Soo Chin Ng; Jianxiang Wang; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2023

📝A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification

Author: Jeng-Lin Li; Yun-Chun Lin; Yu-Fen Wang; Sara A. Monaghan; Bor-Sheng Ko; Chi-Chun Lee

Journal: IEEE Journal of Biomedical and Health Informatics

Year: 2022

📝Iptacopan monotherapy in patients with paroxysmal nocturnal hemoglobinuria: a 2-cohort open-label proof-of-concept study

Author: Jun Ho Jang; Lily Wong; Bor-Sheng Ko; Sung-Soo Yoon; Katie Li; Irina Baltcheva; Prasanna Kumar Nidamarthy; Raghav Chawla; Guido Junge; Eng Soo Yap

Journal: Blood Advances

Year: 2022

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Em-on Chaiprateep at Faculty of Integrative Medicine, Thailand

Profiles

Orcid

Google Scholar

📚 Summary

Dr. Em-on Chaiprateep is an Assistant Professor at the Faculty of Integrative Medicine, Rajamangala University of Technology Thanyaburi, Thailand. With extensive experience in pharmaceutical sciences, clinical research, and regulatory affairs, her expertise spans dermal drug delivery, traditional medicine, and integrative healthcare. She has contributed significantly to academia through teaching, research, and leadership roles.

Education

  • Doctor of Philosophy (Ph.D.) – Philipps-Universität Marburg, Germany (2021–present)
    Research: Essential influences on dermal penetration efficacy of active compounds
  • Master’s in Pharmacy, Food Chemistry & Medical Nutrition – Chulalongkorn University, Thailand (2008–2011)
  • Bachelor’s in Pharmacy, Pharmaceutical Clinic – Silpakorn University, Thailand (2002–2006)

👩‍🏫 Work Experience

  • Rajamangala University of Technology Thanyaburi (2015–Present)
    • Assistant to the Dean for Research (2024–Present)
    • Assistant Professor, Faculty of Integrative Medicine (2018–Present)
    • Lecturer, Faculty of Integrative Medicine (2015–2018)
    • Head of Regulatory Affairs Pharmacist (Traditional Medicine)
  • Eastern Asia University (2011–2014) – Lecturer, Assistant to the Dean for Academic Affairs
  • Ramathibodi Hospital (2008–2011, 2006–2007) – Research Assistant in clinical trials
  • Phyathai II Hospital (2007–2008) – Hospital Pharmacist

🔬 Research Interests

  • Dermal drug delivery and penetration efficacy
  • Traditional and integrative medicine
  • Pharmaceutical formulation and regulatory affairs
  • Patient counseling and medication compliance

💡Skills

  • Technical Skills: SPSS, Epi-data, PowerPoint, Excel, Word
  • Research & Data Analysis: Clinical trials, pharmaceutical formulation, statistical analysis
  • Regulatory Affairs: Traditional medicine, pharmaceutical compliance
  • Teaching & Mentorship: Pharmacy education, student research supervision

 

Publications

Microneedle-Assisted Delivery of Curcumin: Evaluating the Effects of Needle Length and Formulation

  • Authors: Em-on Chaiprateep, Soma Sengupta, Cornelia M Keck
  • Journal: Micromachines
  • Year: 2024

Influence of Dose, Particle Size and Concentration on Dermal Penetration Efficacy of Curcumin

  • Authors: Em-on Chaiprateep, Sabrina Wiemann, Ralph W Eckert, Christian Raab, Soma Sengupta, Cornelia M Keck
  • Journal: Pharmaceutics
  • Year: 2023

Optimization of water-based ultrasonic-microwave assisted extraction (UMAE) of bioactive compounds from Garcinia mangostana pericarp

  • Authors: Juthaporn Kwansang, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Complementary and Integrative Medicine
  • Year: 2022

Influence of mechanical skin treatments on dermal penetration efficacy of active ingredients

  • Authors: Cornelia M Keck, Em-on Chaiprateep, Henriette Dietrich, Soma Sengupta
  • Journal: Pharmaceutics
  • Year: 2022

Optimization ultrasonic–microwave-assisted extraction of phenolic compounds from Clinacanthus nutans using response surface methodology

  • Authors: Siriphatr Chamutpong, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Advanced Pharmaceutical Technology & Research
  • Year: 2021

Dr. Concepcion Vicenta Llorente Cortes | Biomedical | Best Researcher Award

Published on by Computer Vision Awards

Dr. Concepcion Vicenta Llorente Cortes | Biomedical | Best Researcher Award

Doctorate at Consejo Superior de Investigaciones Científicas, Spain

👨‍🎓 Profiles

Scopus

Orcid

Publications

PCSK9 Antibodies Treatment Specifically Enhances the Macrophage-specific Reverse Cholesterol Transport Pathway in Heterozygous Familial Hypercholesterolemia

  • Authors: Borràs, C., Canyelles, M., Girona, J., Blanco-Vaca, F., Escolà-Gil, J.C.
  • Journal: JACC: Basic to Translational Science
  • Year: 2024

sICAM-1 concentrations are associated with inflammation in contralateral carotid plaque in patients with ischemic stroke

  • Authors: Puig, N., Camps-Renom, P., Garcia, E., Llorente-Cortés, V., Benitez, S.
  • Journal: Clinica e Investigacion en Arteriosclerosis
  • Year: 2024

Mechanisms modulating foam cell formation in the arterial intima: exploring new therapeutic opportunities in atherosclerosis

  • Authors: La Chica Lhoëst, M.T., Martinez, A., Claudi, L., Escolà-Gil, J.C., Llorente-Cortés, V.
  • Journal: Frontiers in Cardiovascular Medicine
  • Year: 2024

Transcriptional analysis reveals that the intracellular lipid accumulation impairs gene expression profiles involved in insulin response-associated cardiac functionality

  • Authors: Actis Dato, V., Paz, M.C., Rey, F.E., Chiabrando, G.A., Ceschin, D.G.
  • Journal: Scientific Reports
  • Year: 2023

Soluble low-density lipoprotein receptor-related protein 1 as a surrogate marker of carotid plaque inflammation assessed by 18F-FDG PET in patients with a recent ischemic stroke

  • Authors: Garcia, E., Camps-Renom, P., Puig, N., Benitez, S., Llorente-Cortés, V.
  • Journal: Journal of Translational Medicine
  • Year: 2023

Mrs. Mădălina Țicolea | Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Mrs. Mădălina Țicolea | Healthcare Applications | Best Researcher Award

Mădălina Țicolea at Iuliu Hațieganu University of Medicine and Pharmacy, Romania

Profiles

Google Scholar

Research Gate

📚 Summary

Mrs. Mădălina Țicolea, Assistant Lecturer and PhD student at Iuliu Hațieganu University, excels in Pathophysiology with a focus on dietary supplements and renal conditions. Her work combines teaching and cutting-edge research, aiming to impact healthcare significantly.

Education

  • B.Sc. in Medicine (2019): Thesis on Hypericum capitatum extract and inflammation.
  • M.Sc. in Nutrition and Lifestyle (2022): Thesis on dietary aspects in Chronic Kidney Disease.
  • Currently Pursuing PhD: Research on dietary supplements and renal pathologies.

💼 Professional Experience

  • University Assistant at Pathophysiology Discipline, teaching and organizing practical activities (Feb 2023–Present).
  • Medic Rezident Nefrolog at Iuliu Hațieganu University, specializing in nephrology and urinary system imaging (2020–Present).
  • Assistant Universitar at the Department of Pathophysiology, focusing on oxidative stress and experimental research (2021–Present).

🔬 Research Interests

Mrs. Mădălina’s research investigates the role of dietary supplements in managing glomerulopathies and inflammation. She employs murine models to explore the impact of these supplements on acute and chronic renal conditions

 

Publications

Phytochemical Profile and Antidiabetic, Antioxidant, and Anti-Inflammatory Activities of Gypsophila paniculata Ethanol Extract in Rat Streptozotocin-Induced Diabetes Mellitus

  • Authors: Lia-Oxana Usatiuc, Marcel Pârvu, Raluca Maria Pop, Ana Uifălean, Dan Vălean, Csilla-Eniko Szabo, Mădălina Țicolea, Florinela Adriana Cătoi, Floricuța Ranga, Alina Elena Pârvu
  • Journal: Antioxidants
  • Year: 2024

Phytochemical Composition Antioxidant and Anti-Inflammatory Activity of Artemisia dracunculus and Artemisia abrotanum

  • Authors: Mădălina Țicolea, Raluca Maria Pop, Marcel Pârvu, Lia-Oxana Usatiuc, Ana Uifălean, Floricuța Ranga, Alina Elena Pârvu
  • Journal: Antioxidants
  • Year: 2024

Brown Tumors: The Hidden Face of Primary and Renal Hyperparathyroidism Amid Real-Life Settings

  • Authors: Mara Carsote, Mihai-Lucian Ciobica, Oana-Claudia Sima, Ana Valea, Cosmina Ioana Bondor, Andreea Geleriu, Madalina Ticolea, Claudiu Nistor, Crina Claudia Rusu
  • Journal: Journal of Clinical Medicine
  • Year: 2024

Triiodothyronine and Protein Malnutrition Could Influence Pulse Wave Velocity in Pre-Dialysis Chronic Kidney Disease Patients

  • Authors: Crina Claudia Rusu, Ina Kacso, Diana Moldovan, Alina Potra, Dacian Tirinescu, Maria Ticala, Ancuta M Rotar, Remus Orasan, Cristian Budurea, Andrada Barar, Florin Anton, Ana Valea, Cosmina Ioana Bondor, Madalina Ticolea
  • Journal: Diagnostics
  • Year: 2023

Remarkable rutin-rich Hypericum capitatum extract exhibits anti-inflammatory effects on turpentine oil-induced inflammation in rats

  • Authors: Anca D Farcas, Augustin C Mot, Cezara Zagrean-Tuza, Madalina Ticolea, Bogdan Sevastre, Muhittin Kulak, Radu Silaghi-Dumitrescu, Alina Parvu
  • Journal: BMC complementary and alternative medicine
  • Year: 2019

Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Álvaro Torres Martos at University of Granada, Spain

Profiles

Google Scholar

Orcid

Education

  • Master’s Degree in Bioinformatics and Biostatistics
    Open University of Catalonia (UOC), 2021-2022
  • Bachelor’s Degree in Biochemistry
    University of Granada (UGR), 2016-2020

🔬 Research Experience

  • Pre-doctoral Researcher (2023-2026)
    EXOMAIR Project, University of Granada
    Focus: Precision medicine and the impact of the exposome on metabolic health using AI.
  • Academic Visitor (2024)
    University of Oxford
    Research: Dietary and behavioral phenotypes in relation to non-communicable disease risk, leveraging a multi-omics approach.
  • Bioinformatic Researcher (2022-2023)
    ACTIBATE Project, University of Granada
    Research: Molecular translators of exercise and brown adipose tissue activation.
  • Faculty Member (2023-2026)
    Department of Biochemistry and Molecular Biology II, University of Granada

🏆 Achievements and Contributions

Mr. Álvaro is the proud winner of the III Bioinformatics Datathon, organized by the University of Granada. He is also one of the main developers of the Shiny app ObMetrics, a tool designed to calculate a wide range of Metabolic Syndrome outputs tailored to pediatric patients. His involvement in numerous national and international congresses through posters and oral presentations further showcases his active engagement in the research community.

🛠️ Skills and Certifications

Mr. Álvaro has completed several courses to enhance his technical expertise, including R/RStudio/Shiny, Python, and LaTeX. He has also gained specialized knowledge in GWAS analysis, exposome studies, and systematic reviews/meta-analyses. In 2019, he earned a Certificate of Integrated Skills in English (Level B2) from Trinity College London. Most recently, in 2024, he completed micro-courses with Twenix on Data Science and Strategies for Advanced Learning.

 

Publications

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Alberto Ramírez-Mena, María Arteaga, Gloria Bueno, Rosaura Leis, Concepción M Aguilera, Rafael Alcalá, Jesús Alcalá-Fdez
  • Year: 2024

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

  • Authors: Concepción M Aguilera, Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Gloria Bueno, Rosaura Leis, Jesús Alcalá-Fernández
  • Year: 2024

Omics data preprocessing for machine learning: A case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Mireia Bustos-Aibar, Alberto Ramírez-Mena, Sofía Cámara-Sánchez, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2023

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

  • Authors: Julio Plaza-Diaz, David Izquierdo, Álvaro Torres-Martos, Aiman Tariq Baig, Concepción M Aguilera, Francisco Javier Ruiz-Ojeda
  • Year: 2022

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2022

Mr. Ali Mohammed Ridha | Biomedical | Best Researcher Award

Published on by Computer Vision Awards

Mr. Ali Mohammed Ridha | Biomedical | Best Researcher Award

Ali Mohammed Ridha at Ajman University, United Arab Emirates

Profiles

Orcid

Google Scholar

Education

  • Master of Science in Electrical and Electronics Engineering – Imaging and Machine Learning, Universiti Sains Malaysia, 2023
  • Bachelor of Science in Electrical Engineering, Ajman University, 2019

💼 Professional Experience

  • Software Developer, Mühlbauer Group, Roding, Germany (July 2024 – Present)
    Designing and implementing software solutions for battery production machinery, focusing on automation and control systems.
  • Application Specialist – Software, Beckhoff Automation, Dubai, UAE (September 2021 – June 2024)
    Specialized in TwinCAT software, PLC and HMI programming, and technical support for automation systems.
  • Research Assistant, Ajman University, UAE (August 2021 – October 2022)
    Developed a CNN-based acne detection system using reconstructed hyperspectral images.
  • Research Assistant, Ajman University, UAE (December 2019 – December 2020)
    Conducted FEM simulations to study heat effects during light-curing in dentistry.
  • Research Assistant, Ajman University, UAE (June 2018 – December 2018)
    Created diagnostic software for hearing impairment and earwax blockage using an Android application.

🔬 Research Interests

Ali’s research focuses on advanced imaging techniques, machine learning applications, and automation. His work includes developing detection systems for medical conditions using hyperspectral images, optimizing industrial automation processes, and improving diagnostic tools through innovative software solution

🏆 Grants and Awards 

  • 2021
    Identification of Underdeveloped Acne using Reconstructed HSI from RGB Images
    Funding: AED 10,800
    Grant Reference: 2021-IRG-ENIT-13
    Ajman, United Arab Emirates
  • 2021
    Silver Award – Middle East Regional Award
    Reimagine Education ‘Oscars’ of Education 2020
    London, United Kingdom
  • 2020
    Silver Award – AI Category
    Reimagine Education ‘Oscars’ of Education 2020
    London, United Kingdom
  • 2020
    Best Session Presentation
    7th International Conference on Electrical and Electronics Engineering
    Antalya, Turkey
  • 2020
    First Place
    Dubai, UAE Hackathon 3.0 “Data for Happiness”
    United Arab Emirates
  • 2021
    Study and Optimization of the Process of Light Curing in Dentistry
    Funding: AED 19,975
    Grant Reference: 2019-IDG-DEN-1
    Ajman, United Arab Emirates
  • 2019
    Best Poster Award
    19th IEEE International Symposium on Signal Processing and Information Technology Student Poster Competition
    Ajman, United Arab Emirates
  • 2019
    First Place
    IEEE Student Day Software Engineering Project
    Ras Al Khaimah, United Arab Emirates
  • 2019
    Third Place
    IEEE Student Day Senior Design Project, Computing and Robotics
    Ras Al Khaimah, United Arab Emirates
  • 2019
    Best Poster Award
    Eleventh Annual Undergraduate Research Conference on Applied Computing
    Dubai, United Arab Emirates
  • 2019
    Best Student Branch Award
    IEEE GCC SYP Congress
    Kuwait, State of Kuwait
  • 2017-2019
    Excellence Honor Award
    Tuition Fee Waiver
    Ajman University
    Ajman, United Arab Emirates
  • 2018
    Second Place
    IEEE Student Day Software Engineering Project
    Dubai, United Arab Emirates
  • 2018
    Third Place
    UAE Hackathon 1.0 “Data for Happiness”
    Dubai, United Arab Emirates

 

Publications

Assistive technology for hearing-impaired and deaf students utilizing augmented reality

  • Authors: Ali Mohammed Ridha, Wessam Shehieb
  • Year: 2021

Smart prediction system for facial paralysis

  • Authors: Ali Mohammed Ridha, Wessam Shehieb, Peter Yacoub, Khalid Al-Balawneh, Kamran Arshad
  • Year: 2020

Temperature Rise at the Pulp-Dentin Junction for a Multi-Layered Composite Restoration using the Finite Element Method

  • Authors: Ali Mohammed Ridha, Konstantinos Aidinis, Abdul Haq Suliman
  • Year: 2021

Diagnostic Approach for Hearing Impairment and Earwax Blockage using Smartphone

  • Authors: Wessam Shehieb, Ali Mohammed Ridha, Tazeen Sharif
  • Year: 2018

Dr. Yongkui Ren | Healthcare Applications | International Visionary in Computer Vision Award

Published on by Computer Vision Awards

Dr. Yongkui Ren | Healthcare Applications | International Visionary in Computer Vision Award

Doctorate at The First Affiliated Hospital of Dalian Medical University, China

Profile

Scopus

📋 Summary

Dr. Yongkui Ren, a distinguished cardiovascular specialist, is currently 38 years old. He serves as the Associate Chief Physician in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Education

Dr. Ren obtained his MD from Capital Medical University in Beijing, China. He completed his Master’s and Bachelor’s degrees at China Medical University in Shenyang, China, specializing in cardiovascular research and clinical practice.

🩺 Professional and Teaching Experience

Dr. Ren’s medical career began as a resident doctor in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University. Over the years, he advanced to Attending Physician and currently holds the position of Associate Chief Physician. His extensive experience in cardiovascular medicine has made him a valuable asset to his department.

🏥 Professional Society Membership

Dr. Ren is an active member of the Hypertension Prevention and Control Professional Committee of the Liaoning Primary Health Association, contributing to advancements in hypertension management and control.

🔬 Research Experience

Dr. Ren’s research journey began during his Master’s degree, focusing on myocardial ischemia-reperfusion injury. He continued his research at The First Affiliated Hospital of Dalian Medical University, where he successfully applied for grants and participated in significant multi-center clinical trials. His recent work during his Ph.D. involves the analysis of medical big data using machine learning methods for cohort analysis and prediction.

🔭 Future Research Directions:

Dr. Ren aims to further investigate the mechanisms behind coronary artery calcification and its progression. He is also interested in identifying markers related to coronary calcification and exploring their mechanisms through basic research. Additionally, he plans to leverage advanced statistical methods, such as R language and machine learning, for data mining and participate in multi-center clinical trials.

 

Publications

Mediating Effect of the NLR on the Relationship between HbA1c and Left Atrial Stiffness in Overweight Patients with Hypertension

  • Authors: Zhang, R., Pan, Y., Ren, Y.K., Liu, Y., Jiang, Y.N.
  • Journal: American Journal of Hypertension
  • Year: 2024

Diagnostic accuracy of a novel optical coherence tomography-based fractional flow reserve algorithm for assessment of coronary stenosis significance

  • Authors: Pan, W., Wei, W., Hu, Y., Leng, X., Yin, D.
  • Journal: Cardiology Journal
  • Year: 2024

Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients

  • Authors: Wang, M., Sun, M., Yu, Y., Ren, Y., Yin, D.
  • Journal: BMC Medical Informatics and Decision Making
  • Year: 2023

Triglyceride glucose index is associated with obstructive coronary artery disease in hypertensive patients

  • Authors: Pan, W., Ren, Y., Yang, F., Li, X., Yin, D.
  • Journal: Cardiovascular Diabetology
  • Year: 2023

Association of triglyceride glucose index levels ​​with calcification patterns and vulnerability of plaques: an intravascular ultrasound study

  • Authors: Yin, D., Wang, M., Liu, X., Ren, Y., Liu, J.
  • Journal: International Journal of Cardiovascular Imaging
  • Year: 2023